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      <title>Financial Technology Focus</title>
      <description>MoneyScience brings together news, companies, products, services and resources from across the financial technology spectrum.</description>
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      <pubDate>Thu, 23 May 2013 08:51:30 +0000</pubDate>
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         <title>Link Library: Video - One Half Second of High Frequency Trading in a Single Stock</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/SZIrBX3kw-g/video-one-half-second-of-high-frequency-trading-in-a-single-stock</link>
         
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         <pubDate>Tue, 14 May 2013 13:07:14 +0000</pubDate>
      <description>1/2 second of trading activity in Johnson &amp;amp; Johnson (symbol JNJ) on May 2, 2013


This video was featured at Wired Business Conference (watch it now: http://fora.tv/2013/05/07/Nanex_CEO_E...)

  Follow us on twitter @nanexllc for Wall Street Breaking coverage.


  


  Set to lowest resolution for an "artistic rendering", or highest resolution for science.


  


  The animation tool that created this video was written in "C" using Windows GDI - simple lines, polygons and ellipses. We wrote it to explain to the SEC and CFTC (the regulators) how our markets work. We got the idea after realizing, in face to face meetings with them, they didn't understand market structure or the importance of latency and the consolidated feed. That was several years ago. We still aren't sure if they get it, or are just playing dumb.


  


  The bottom box (SIP) shows the National Best Bid and Offer. Watch how much it changes in the blink of an eye.


  


  Watch High Frequency Traders (HFT) at the...&lt;img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/SZIrBX3kw-g" height="1" width="1"/&gt;</description><feedburner:origLink>http://www.moneyscience.com/pg/bookmarks/Admin/read/545371/video-one-half-second-of-high-frequency-trading-in-a-single-stock</feedburner:origLink></item>
      <item>
         <title>Vendor News: Portfolio Probe version 1.06 released</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/qQqlUAznEcA/portfolio-probe-version-106-released</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/newsfeeds/moneyscience/item/537173/portfolio-probe-version-106-released</guid>
         <pubDate>Mon, 29 Apr 2013 19:23:29 +0000</pubDate>
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      <feedburner:origLink>http://www.moneyscience.com/pg/newsfeeds/moneyscience/item/537173/portfolio-probe-version-106-released</feedburner:origLink></item>
      <item>
         <title>Vendor News: April 19, 2013 - SS&amp;amp;C GlobeOp Forward Redemption Indicator: April notifications 2.95%</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/hTl2vpsfa4E/april-19-2013-ssc-globeop-forward-redemption-indicator-april-notifications-295</link>
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         <pubDate>Fri, 19 Apr 2013 08:10:27 +0000</pubDate>
      <description>&lt;img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/hTl2vpsfa4E" height="1" width="1"/&gt;</description><feedburner:origLink>http://www.moneyscience.com/pg/newsfeeds/SSandC/item/530575/april-19-2013-ssc-globeop-forward-redemption-indicator-april-notifications-295</feedburner:origLink></item>
      <item>
         <title>Vendor News: Fidessa partners with key brokers to provide  pan-ASEAN trading service</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/OpFW_ZASgVI/fidessa-partners-with-key-brokers-to-provide-panasean-trading-service</link>
         <guid isPermaLink="false">http://www.moneyscience.com/pg/newsfeeds/Fidessa/item/528143/fidessa-partners-with-key-brokers-to-provide-panasean-trading-service</guid>
         <pubDate>Mon, 15 Apr 2013 08:17:24 +0000</pubDate>
      <description>&lt;img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/OpFW_ZASgVI" height="1" width="1"/&gt;</description><feedburner:origLink>http://www.moneyscience.com/pg/newsfeeds/Fidessa/item/528143/fidessa-partners-with-key-brokers-to-provide-panasean-trading-service</feedburner:origLink></item>
      <item>
         <title>Vendor News: Infosys Positioned as a Leader in Gartner Magic Quadrant for Oracle Applications Management Service Providers, Worldwide</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/ugsLNnAzDqg/infosys-positioned-as-a-leader-in-gartner-magic-quadrant-for-oracle-applications-management-service-providers-worldwide</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/newsfeeds/InfosysTechnologies/item/462044/infosys-positioned-as-a-leader-in-gartner-magic-quadrant-for-oracle-applications-management-service-providers-worldwide</guid>
         <pubDate>Thu, 21 Feb 2013 21:17:17 +0000</pubDate>
         <content:encoded><![CDATA[Gartner has positioned Infosys as a leader in its first-ever Magic Quadrant for Oracle Application Management Service Providers, Worldwide.<img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/ugsLNnAzDqg" height="1" width="1"/>]]></content:encoded>
      <feedburner:origLink>http://www.moneyscience.com/pg/newsfeeds/InfosysTechnologies/item/462044/infosys-positioned-as-a-leader-in-gartner-magic-quadrant-for-oracle-applications-management-service-providers-worldwide</feedburner:origLink></item>
      <item>
         <title>Video: Larry Tabb on The Future Of Data Management in a post-Crisis World</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/GeqG-FOprK8/video-larry-tabb-on-the-future-of-data-management-in-a-postcrisis-world</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/newsfeeds/Admin/item/455183/video-larry-tabb-on-the-future-of-data-management-in-a-postcrisis-world</guid>
         <pubDate>Wed, 30 Jan 2013 11:39:50 +0000</pubDate>
         <content:encoded><![CDATA[Larry Tabb of TABB Group recently discussed with  Wall Street &amp; Technology senior editor Melanie Rodier how firms are adapting their data  management processes to the post-financial-crisis environment.read more...<img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/GeqG-FOprK8" height="1" width="1"/>]]></content:encoded>
      <feedburner:origLink>http://www.moneyscience.com/pg/newsfeeds/Admin/item/455183/video-larry-tabb-on-the-future-of-data-management-in-a-postcrisis-world</feedburner:origLink></item>
      <item>
         <title>SEC-mandated XBRL data at risk of being irrelevant to investors and analysts</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/fsurpMZMIpE/secmandated-xbrl-data-at-risk-of-being-irrelevant-to-investors-and-analysts</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/newsfeeds/Admin/item/453497/secmandated-xbrl-data-at-risk-of-being-irrelevant-to-investors-and-analysts</guid>
         <pubDate>Wed, 23 Jan 2013 14:42:04 +0000</pubDate>
         <content:encoded><![CDATA[In 2009, the Securities and Exchange Commission mandated that public companies submit portions of annual (10-K) and quarterly (10-Q) reports&mdash;in a digitized format known as eXtensible Business Reporting Language (XBRL). The goal of this type of data was to provide more relevant, timely, and reliable "interactive" data to investors and analysts. The XBRL-formatted data is meant to allow users to manipulate and organize the financial information according to their own purposes faster, cheaper, and more easily than current alternatives.read more...<img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/fsurpMZMIpE" height="1" width="1"/>]]></content:encoded>
      <feedburner:origLink>http://www.moneyscience.com/pg/newsfeeds/Admin/item/453497/secmandated-xbrl-data-at-risk-of-being-irrelevant-to-investors-and-analysts</feedburner:origLink></item>
      <item>
         <title>Video - Trading's evolving next generation? Control systems, feedback loops, adaptive knowledge capture</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/gXbreBc4wEs/video-tradings-evolving-next-generation-control-systems-feedback-loops-adaptive-knowledge-capture</link>
         
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         <pubDate>Fri, 07 Dec 2012 13:38:19 +0000</pubDate>
         <content:encoded><![CDATA[&nbsp;read more...<img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/gXbreBc4wEs" height="1" width="1"/>]]></content:encoded>
      <feedburner:origLink>http://www.moneyscience.com/pg/newsfeeds/moneyscience/item/443099/video-tradings-evolving-next-generation-control-systems-feedback-loops-adaptive-knowledge-capture</feedburner:origLink></item>
      <item>
         <title>Video - Ciamac Moallemi: High-Frequency Trading and Market Microstructure</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/0gdRShlhQJM/video-ciamac-moallemi-highfrequency-trading-and-market-microstructure</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/newsfeeds/moneyscience/item/440659/video-ciamac-moallemi-highfrequency-trading-and-market-microstructure</guid>
         <pubDate>Wed, 28 Nov 2012 15:20:14 +0000</pubDate>
         <content:encoded><![CDATA[Ciamac Moallemi is  the Barbara and Meyer Feldberg Associate Professor of Business in the Decision, Risk, &amp; Operations Division of the Graduate School of Business at Columbia University.  read more...<img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/0gdRShlhQJM" height="1" width="1"/>]]></content:encoded>
      <feedburner:origLink>http://www.moneyscience.com/pg/newsfeeds/moneyscience/item/440659/video-ciamac-moallemi-highfrequency-trading-and-market-microstructure</feedburner:origLink></item>
      <item>
         <title>Vendor News: NAG announces support for IBM BlueGene/Q supercomputers</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/u508epfnnQI/nag-announces-support-for-ibm-bluegeneq-supercomputers</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/newsfeeds/NumericalAlgorithmsGroup/item/437017/nag-announces-support-for-ibm-bluegeneq-supercomputers</guid>
         <pubDate>Tue, 13 Nov 2012 11:01:22 +0000</pubDate>
         <content:encoded><![CDATA[&nbsp;read more...<img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/u508epfnnQI" height="1" width="1"/>]]></content:encoded>
      <feedburner:origLink>http://www.moneyscience.com/pg/newsfeeds/NumericalAlgorithmsGroup/item/437017/nag-announces-support-for-ibm-bluegeneq-supercomputers</feedburner:origLink></item>
      <item>
         <title>Vendor News: Prescient Ridge Management signs Connamara Systems for New Trading Infrastructure and Support Services</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/GSm4D114rh4/prescient-ridge-management-signs-connamara-systems-for-new-trading-infrastructure-and-support-services</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/newsfeeds/ConnamaraSystems/item/433327/prescient-ridge-management-signs-connamara-systems-for-new-trading-infrastructure-and-support-services</guid>
         <pubDate>Wed, 31 Oct 2012 13:47:18 +0000</pubDate>
         <content:encoded><![CDATA[New trading infrastructure provides entry into new markets and upgrades automated execution capabilitiesChicago, October 31, 2012 &ndash; Connamara Systems, LLC (Connamara), provider of services to exchanges, swap execution facilities, CTAs and Hedge Funds, today announced signing Prescient Ridge Management, LLC (PRM) a managed futures fund which specializes in short-term, automated trading strategies, for Connamara&rsquo;s Made-to-Measure Trading Solutions to design and implement an updated trading infrastructure for PRM.&nbsp; This engagement is a result of PRM&rsquo;s Investment Committee decision to trade new markets which opens new growth opportunities and new trading strategies for the firm going forward.Prescient Ridge Management&rsquo;s President, Alan Swimmer, states: &ldquo;Connamara Systems proved the right fit for PRM. Their Made-to-Measure customizable approach allows us to focus on the Fund&rsquo;s new trading ideas by improving efficiency and increasing scalability. Our...<img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/GSm4D114rh4" height="1" width="1"/>]]></content:encoded>
      <feedburner:origLink>http://www.moneyscience.com/pg/newsfeeds/ConnamaraSystems/item/433327/prescient-ridge-management-signs-connamara-systems-for-new-trading-infrastructure-and-support-services</feedburner:origLink></item>
      <item>
         <title>Intel and OnX Announce Social Media Hub for the Finteligent Trading Technology Community</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/HUv9m1F2NVw/intel-and-onx-announce-social-media-hub-for-the-finteligent-trading-technology-community</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/newsfeeds/Admin/item/431003/intel-and-onx-announce-social-media-hub-for-the-finteligent-trading-technology-community</guid>
         <pubDate>Wed, 24 Oct 2012 11:32:19 +0000</pubDate>
         <content:encoded><![CDATA[TORONTO, Ontario and New York, NY, October 23, 2012 &ndash; read more...<img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/HUv9m1F2NVw" height="1" width="1"/>]]></content:encoded>
      <feedburner:origLink>http://www.moneyscience.com/pg/newsfeeds/Admin/item/431003/intel-and-onx-announce-social-media-hub-for-the-finteligent-trading-technology-community</feedburner:origLink></item>
      <item>
         <title>Vendor News: Buy-side forced to adopt more sophisticated risk management as interconnectivity between buy-side stakeholders grows, says Algorithmics, an IBM Company</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/Rp5YpVC8wd0/buyside-forced-to-adopt-more-sophisticated-risk-management-as-interconnectivity-between-buyside-stakeholders-grows-says-algorithmics-an-ibm-company</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/newsfeeds/Algorithmics/item/414259/buyside-forced-to-adopt-more-sophisticated-risk-management-as-interconnectivity-between-buyside-stakeholders-grows-says-algorithmics-an-ibm-company</guid>
         <pubDate>Wed, 19 Sep 2012 14:33:08 +0000</pubDate>
         <content:encoded><![CDATA[White paper analyses impact, requirements and opportunities of buy-side interconnectivityread more...<img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/Rp5YpVC8wd0" height="1" width="1"/>]]></content:encoded>
      <feedburner:origLink>http://www.moneyscience.com/pg/newsfeeds/Algorithmics/item/414259/buyside-forced-to-adopt-more-sophisticated-risk-management-as-interconnectivity-between-buyside-stakeholders-grows-says-algorithmics-an-ibm-company</feedburner:origLink></item>
      <item>
         <title>Link Library: Black Rhino - A Financial Network Multi Agent Simulator</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/8d1UxjsH7EE/black-rhino-a-financial-network-multi-agent-simulator</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/bookmarks/Admin/read/414198/black-rhino-a-financial-network-multi-agent-simulator</guid>
         <pubDate>Wed, 19 Sep 2012 13:10:56 +0000</pubDate>
      <description>Black Rhino - A Financial Network Multi Agent Simulator black_rhino is an open source easy-to-use-and-adapt financial network multi agent simulation (MAS) that serves two purposes. First, it can be used as a practical tool to simulate and analyse a model banking system. This is particularly handy for central banks and policy makers, as black_rhino fills a gap in the policy-toolbox. Second, and perhaps more importantly, it is a python module that can be easily adapted, changed, and modified for research purposes. It is intended to reduce the amount of work necessary to write a financial MAS and hence allows researchers to focus on the economic questions instead of worrying about code design patterns and basic functionality. The software is open source and published under the GNU GPL v3. You can find the latest version at sourceforge. 2 August 2012&lt;img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/8d1UxjsH7EE" height="1" width="1"/&gt;</description><feedburner:origLink>http://www.moneyscience.com/pg/bookmarks/Admin/read/414198/black-rhino-a-financial-network-multi-agent-simulator</feedburner:origLink></item>
      <item>
         <title>DataSift Launches Social Feeds for the Financial Services Industry</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/M9YJsLheWmU/datasift-launches-social-feeds-for-the-financial-services-industry</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/newsfeeds/Admin/item/411085/datasift-launches-social-feeds-for-the-financial-services-industry</guid>
         <pubDate>Wed, 12 Sep 2012 15:59:16 +0000</pubDate>
         <content:encoded><![CDATA[read more...<img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/M9YJsLheWmU" height="1" width="1"/>]]></content:encoded>
      <feedburner:origLink>http://www.moneyscience.com/pg/newsfeeds/Admin/item/411085/datasift-launches-social-feeds-for-the-financial-services-industry</feedburner:origLink></item>
      <item>
         <title>Wired Magazine asks how Wall Street Got Addicted to High-Frequency Trading</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/SjPhMCjcNQI/wired-magazine-asks-how-wall-street-got-addicted-to-highfrequency-trading</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/newsfeeds/Admin/item/396636/wired-magazine-asks-how-wall-street-got-addicted-to-highfrequency-trading</guid>
         <pubDate>Tue, 07 Aug 2012 06:21:01 +0000</pubDate>
         <content:encoded><![CDATA[The high-frequency trading debate has been polarising opinion for years now, and with little impact on the march of the technologies which are enabling it. Here at MoneyScience, we try not to take a view on the ethics or cultural impact of HFT - we like the evolution of technology as a rule, but dislike speculation when it comes at the expense of markets which would otherwise provide a socially meaningful role. Progress is generally good, we feel - but to paraphrase Spiderman, 'with great power comes great responsibility' - and financial markets as a rule haven't done a great job in recent history of demonstrating they can handle it. We may have the technology to trade ultra-fast, but whether we have the scientific or economic infrastructure to understand and control it is the core of the debate.read more...<img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/SjPhMCjcNQI" height="1" width="1"/>]]></content:encoded>
      <feedburner:origLink>http://www.moneyscience.com/pg/newsfeeds/Admin/item/396636/wired-magazine-asks-how-wall-street-got-addicted-to-highfrequency-trading</feedburner:origLink></item>
      <item>
         <title>Link Library: Tobias Preis's GPGPU Research Page</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/VTuu0891YDo/tobias-preiss-gpgpu-research-page</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/bookmarks/Admin/read/395250/tobias-preiss-gpgpu-research-page</guid>
         <pubDate>Fri, 03 Aug 2012 15:51:11 +0000</pubDate>
      <description>Dr Tobia Preis has compiled a fantastic list of selected publications in GPGPU Computing:


 A recent trend in computer science and related fields is General-Purpose  computation on Graphics Processing Units (GPGPU), which can yield  impressive performance, i.e. the required processing times can be  reduced to a great extent.

The Compute Unified Device Architecture (CUDA) is a programming approach for performing scientific calculations on a Graphics Processing Unit (GPU) as a data-parallel computing device. The programming interface allows to implement algorithms using extensions to standard C language. With continuously increased number of cores in combination with a high memory bandwidth, a recent GPU offers incredible resources for general purpose computing.&lt;img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/VTuu0891YDo" height="1" width="1"/&gt;</description><feedburner:origLink>http://www.moneyscience.com/pg/bookmarks/Admin/read/395250/tobias-preiss-gpgpu-research-page</feedburner:origLink></item>
      <item>
         <title>Algorithmic Trading Glitch Costs Knight Capital $440 Million</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/XIyNCn_fweA/algorithmic-trading-glitch-costs-knight-capital-440-million</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/newsfeeds/Admin/item/394765/algorithmic-trading-glitch-costs-knight-capital-440-million</guid>
         <pubDate>Thu, 02 Aug 2012 19:02:54 +0000</pubDate>
         <content:encoded><![CDATA[Via Slashdot:read more...<img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/XIyNCn_fweA" height="1" width="1"/>]]></content:encoded>
      <feedburner:origLink>http://www.moneyscience.com/pg/newsfeeds/Admin/item/394765/algorithmic-trading-glitch-costs-knight-capital-440-million</feedburner:origLink></item>
      <item>
         <title>FIA European Principal Traders Association Market Integrity Framework: Best Practices to Preserve Market Integrity</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/mHIOtK2k2rw/fia-european-principal-traders-association-market-integrity-framework-best-practices-to-preserve-market-integrity</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/newsfeeds/moneyscience/item/393032/fia-european-principal-traders-association-market-integrity-framework-best-practices-to-preserve-market-integrity</guid>
         <pubDate>Fri, 27 Jul 2012 11:32:14 +0000</pubDate>
         <content:encoded><![CDATA[As part of ongoing efforts to safeguard market integrity, FIA European Principal Traders Association today published a set of best practices to help principal trading firms prevent market manipulation and reduce risks. read more...<img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/mHIOtK2k2rw" height="1" width="1"/>]]></content:encoded>
      <feedburner:origLink>http://www.moneyscience.com/pg/newsfeeds/moneyscience/item/393032/fia-european-principal-traders-association-market-integrity-framework-best-practices-to-preserve-market-integrity</feedburner:origLink></item>
      <item>
         <title>Artificial Intelligence, unstructured data and banking scams</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/N65GFxE6p6U/artificial-intelligence-unstructured-data-and-banking-scams</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/newsfeeds/Admin/item/391697/artificial-intelligence-unstructured-data-and-banking-scams</guid>
         <pubDate>Mon, 23 Jul 2012 12:29:56 +0000</pubDate>
         <content:encoded><![CDATA[New Scientist covers the technology firms who are using Artificial Intelligence to identify behaviours which could indicate improper behaviour:read more...<img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/N65GFxE6p6U" height="1" width="1"/>]]></content:encoded>
      <feedburner:origLink>http://www.moneyscience.com/pg/newsfeeds/Admin/item/391697/artificial-intelligence-unstructured-data-and-banking-scams</feedburner:origLink></item>
      <item>
         <title>Link Library: Notes for Economists on Writing Code</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/od09iuCyNXM/notes-for-economists-on-writing-code</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/bookmarks/Admin/read/383498/notes-for-economists-on-writing-code</guid>
         <pubDate>Tue, 03 Jul 2012 12:25:09 +0000</pubDate>
      <description>Matthew Gentzkow
Jesse M. Shapiro

Chicago Booth

June 25, 2012

Introduction

Every step of every research project we do is written in code, from raw data to final paper. Doing research is therefore writing software. Over time, people who write software for a living have learned a lot about how to write it well. We follow their lead. We aim to write code that would pass muster if we worked at Google or Microsoft. Economists sometimes write code that is like stream-of-consciousness: a more or less random series of steps that happen to produce the right result. A good way to generate this kind of code is to use Stata interactively for an hour and then copy and paste the list of commands into a text editor. This code will do what it is supposed to do. But it will be very difficult for someone other than the person who produced it&amp;ndash;or even for that same person after a day or two&amp;ndash;to read and understand it. It will be virtually impossible to modify or extend it. And if anything...&lt;img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/od09iuCyNXM" height="1" width="1"/&gt;</description><feedburner:origLink>http://www.moneyscience.com/pg/bookmarks/Admin/read/383498/notes-for-economists-on-writing-code</feedburner:origLink></item>
      <item>
         <title>Mark Cuban: High-Frequency Traders Are the Ultimate Hackers</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/JXlJ63aLW1s/mark-cuban-highfrequency-traders-are-the-ultimate-hackers</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/newsfeeds/Admin/item/380964/mark-cuban-highfrequency-traders-are-the-ultimate-hackers</guid>
         <pubDate>Wed, 27 Jun 2012 06:03:18 +0000</pubDate>
         <content:encoded><![CDATA[This WSJ interview with Mark Cuban has received quite a lot of attention, as well as a Discussion at Slashdot.read more...<img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/JXlJ63aLW1s" height="1" width="1"/>]]></content:encoded>
      <feedburner:origLink>http://www.moneyscience.com/pg/newsfeeds/Admin/item/380964/mark-cuban-highfrequency-traders-are-the-ultimate-hackers</feedburner:origLink></item>
      <item>
         <title>HFT Review Special Section: FPGA &amp;amp;amp; Hardware Accelerated Trading</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/KWFTVsXpZAM/hft-review-special-section-fpga-amp-hardware-accelerated-trading</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/newsfeeds/moneyscience/item/380429/hft-review-special-section-fpga-amp-hardware-accelerated-trading</guid>
         <pubDate>Tue, 26 Jun 2012 11:50:35 +0000</pubDate>
         <content:encoded><![CDATA[read more...<img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/KWFTVsXpZAM" height="1" width="1"/>]]></content:encoded>
      <feedburner:origLink>http://www.moneyscience.com/pg/newsfeeds/moneyscience/item/380429/hft-review-special-section-fpga-amp-hardware-accelerated-trading</feedburner:origLink></item>
      <item>
         <title>The Microsecond Market</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/9b8kEpwGUG8/the-microsecond-market</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/newsfeeds/Admin/item/363990/the-microsecond-market</guid>
         <pubDate>Mon, 04 Jun 2012 19:20:53 +0000</pubDate>
         <content:encoded><![CDATA[Sophisticated technology now drives global financial trading to extremes of time and spaceread more...<img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/9b8kEpwGUG8" height="1" width="1"/>]]></content:encoded>
      <feedburner:origLink>http://www.moneyscience.com/pg/newsfeeds/Admin/item/363990/the-microsecond-market</feedburner:origLink></item>
      <item>
         <title>How to Land a Technology Job on Wall Street: Inside an Elite Wall Street IT Education</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/aLKiowGoefY/how-to-land-a-technology-job-on-wall-street-inside-an-elite-wall-street-it-education</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/newsfeeds/moneyscience/item/362313/how-to-land-a-technology-job-on-wall-street-inside-an-elite-wall-street-it-education</guid>
         <pubDate>Fri, 01 Jun 2012 14:48:55 +0000</pubDate>
         <content:encoded><![CDATA[Capital markets firms are recruiting  graduates from  the top schools in computer science and other majors to  train the next  generation of IT talent.read more...<img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/aLKiowGoefY" height="1" width="1"/>]]></content:encoded>
      <feedburner:origLink>http://www.moneyscience.com/pg/newsfeeds/moneyscience/item/362313/how-to-land-a-technology-job-on-wall-street-inside-an-elite-wall-street-it-education</feedburner:origLink></item>
      <item>
         <title>Link Library: The Lodestone Foundation</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/SznZ96a0IVU/the-lodestone-foundation</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/bookmarks/Admin/read/355343/the-lodestone-foundation</guid>
         <pubDate>Thu, 24 May 2012 12:44:00 +0000</pubDate>
      <description>Lodestone Foundation Homepage
Lodestone Projects Page




Open Source for Capital Markets and Beyond

What is our Goal? 

Quickly and convincingly build the go-to non-profit open source foundation for financial markets. Significantly, we will seed this foundation with world-beating code contributions from known open-source heavyweights and founding partners, and fund a small world-class dev team that also produces and/or extends reference software in key areas of interest to financial markets, that is convincingly better than industry alternatives and helps us avoid re-building the same things, at a lower quality level, again and again. The goal of the team is to produce results in a reasonable period, that attracts both wide industry adoption, and contributions from the best open source community and the financial industry. Part of our charter will be to assist partners in putting in place great examples of open-source governance and participation, and to help our industry more...&lt;img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/SznZ96a0IVU" height="1" width="1"/&gt;</description><feedburner:origLink>http://www.moneyscience.com/pg/bookmarks/Admin/read/355343/the-lodestone-foundation</feedburner:origLink></item>
      <item>
         <title>Stanford bioengineers create rewritable digital data storage in DNA</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/fJC9MuUJJEE/stanford-bioengineers-create-rewritable-digital-data-storage-in-dna</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/newsfeeds/Admin/item/353103/stanford-bioengineers-create-rewritable-digital-data-storage-in-dna</guid>
         <pubDate>Tue, 22 May 2012 20:44:34 +0000</pubDate>
         <content:encoded><![CDATA[You don't hear a lot about biological computing but this is super cool:read more...<img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/fJC9MuUJJEE" height="1" width="1"/>]]></content:encoded>
      <feedburner:origLink>http://www.moneyscience.com/pg/newsfeeds/Admin/item/353103/stanford-bioengineers-create-rewritable-digital-data-storage-in-dna</feedburner:origLink></item>
      <item>
         <title>Special Report: The algorithmic arms race</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/WYHFmrnH-ag/special-report-the-algorithmic-arms-race</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/newsfeeds/Admin/item/351014/special-report-the-algorithmic-arms-race</guid>
         <pubDate>Mon, 21 May 2012 10:17:53 +0000</pubDate>
         <content:encoded><![CDATA[I actually saw David Harding give a talk at the Royal Institution 14-10 Club last year and he threw up a powerpoint slide displaying one of the Winton Capital's strategies. It lwas somewhat more complex than this:read more...<img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/WYHFmrnH-ag" height="1" width="1"/>]]></content:encoded>
      <feedburner:origLink>http://www.moneyscience.com/pg/newsfeeds/Admin/item/351014/special-report-the-algorithmic-arms-race</feedburner:origLink></item>
      <item>
         <title>Podcast - The State of the Art in Low Latency - The Daly Post</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/yF6rHd-xfUI/podcast-the-state-of-the-art-in-low-latency-the-daly-post</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/newsfeeds/moneyscience/item/334034/podcast-the-state-of-the-art-in-low-latency-the-daly-post</guid>
         <pubDate>Wed, 02 May 2012 13:34:08 +0000</pubDate>
         <content:encoded><![CDATA[Rob Daly is a financial tech journalist who produces the rather excellent Daly Post Podcast. In this most recent edition he asks:read more...<img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/yF6rHd-xfUI" height="1" width="1"/>]]></content:encoded>
      <feedburner:origLink>http://www.moneyscience.com/pg/newsfeeds/moneyscience/item/334034/podcast-the-state-of-the-art-in-low-latency-the-daly-post</feedburner:origLink></item>
      <item>
         <title>Link Library: Frequently Asked Questions about QuantLib</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/ODDUBNlGaBw/frequently-asked-questions-about-quantlib</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/bookmarks/Admin/read/327037/frequently-asked-questions-about-quantlib</guid>
         <pubDate>Tue, 24 Apr 2012 12:05:38 +0000</pubDate>
      <description>1. General questions


1.1. Is it OK to email a QuantLib developer to ask questions, or seek    help, or report a bug?
1.2. How should I report a bug?
1.3. Thanks for this project. How can I give back to it?
1.4. Amazon Wish List? Aren't you ashamed of yourselves?


2. Contributing to the project


2.1. I'm interested in getting involved with the project. What should    I do?
2.2. How do I contribute code to the project?


3. Building QuantLib


3.1. I'm having trouble building Boost.
3.2. I'm having trouble building QuantLib with MinGW.
3.3. When building QuantLib, I get a compile error about a missing    boost/something header.
3.4. When building the test-suite, I encounter a linking error about    libboost_unit_test_framework-xxx.
3.5. But I have no such library on my machine!
3.6. Ok, now I have the library; and the library path is set correctly.    But I still cannot link!
3.7. I'm having trouble building QuantLib with the Sun Studio 11 compiler.
3.8. I'm having trouble building...&lt;img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/ODDUBNlGaBw" height="1" width="1"/&gt;</description><feedburner:origLink>http://www.moneyscience.com/pg/bookmarks/Admin/read/327037/frequently-asked-questions-about-quantlib</feedburner:origLink></item>
      <item>
         <title>Bitcoin, the financial traders' anarchic new toy</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/1OepMMbN0sg/bitcoin-the-financial-traders-anarchic-new-toy</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/newsfeeds/Admin/item/306144/bitcoin-the-financial-traders-anarchic-new-toy</guid>
         <pubDate>Mon, 02 Apr 2012 14:05:30 +0000</pubDate>
         <content:encoded><![CDATA[Naomi O'Leary writes at Reuters: read more...<img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/1OepMMbN0sg" height="1" width="1"/>]]></content:encoded>
      <feedburner:origLink>http://www.moneyscience.com/pg/newsfeeds/Admin/item/306144/bitcoin-the-financial-traders-anarchic-new-toy</feedburner:origLink></item>
      <item>
         <title>Presentations &amp;amp; Audio from the 2012 London Low-Latency Summit</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/pV5i5Lv3YOc/presentations-audio-from-the-2012-london-lowlatency-summit</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/newsfeeds/Admin/item/303939/presentations-audio-from-the-2012-london-lowlatency-summit</guid>
         <pubDate>Fri, 30 Mar 2012 09:00:17 +0000</pubDate>
         <content:encoded><![CDATA[Presentations:read more...<img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/pV5i5Lv3YOc" height="1" width="1"/>]]></content:encoded>
      <feedburner:origLink>http://www.moneyscience.com/pg/newsfeeds/Admin/item/303939/presentations-audio-from-the-2012-london-lowlatency-summit</feedburner:origLink></item>
      <item>
         <title>Video - Paul Kedrosky on Apple, BATS and HFT</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/m2gwMFbSuFc/video-paul-kedrosky-on-apple-bats-and-hft</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/newsfeeds/Admin/item/299770/video-paul-kedrosky-on-apple-bats-and-hft</guid>
         <pubDate>Mon, 26 Mar 2012 11:58:22 +0000</pubDate>
         <content:encoded><![CDATA[Via The Big Picture:read more...<img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/m2gwMFbSuFc" height="1" width="1"/>]]></content:encoded>
      <feedburner:origLink>http://www.moneyscience.com/pg/newsfeeds/Admin/item/299770/video-paul-kedrosky-on-apple-bats-and-hft</feedburner:origLink></item>
      <item>
         <title>Vendor News: Tradar and Nedelma introduce Mobile Portfolio Reporting App for iPad</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/8LRx_C8NYTc/tradar-and-nedelma-introduce-mobile-portfolio-reporting-app-for-ipad</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/newsfeeds/Tradar/item/281155/tradar-and-nedelma-introduce-mobile-portfolio-reporting-app-for-ipad</guid>
         <pubDate>Fri, 02 Mar 2012 06:35:04 +0000</pubDate>
         <content:encoded><![CDATA[Tradar and Nedelma introduce Mobile Portfolio Reporting Applicationread more...<img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/8LRx_C8NYTc" height="1" width="1"/>]]></content:encoded>
      <feedburner:origLink>http://www.moneyscience.com/pg/newsfeeds/Tradar/item/281155/tradar-and-nedelma-introduce-mobile-portfolio-reporting-app-for-ipad</feedburner:origLink></item>
      <item>
         <title>Vendor News: Lombard Risk Dodd-Frank Act Engine as Solution for Title VII, Regulation of OTC Swaps Markets</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/7Vw3pRmBbIw/lombard-risk-doddfrank-act-engine-as-solution-for-title-vii-regulation-of-otc-swaps-markets</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/newsfeeds/LombardRiskManagement/item/273608/lombard-risk-doddfrank-act-engine-as-solution-for-title-vii-regulation-of-otc-swaps-markets</guid>
         <pubDate>Wed, 22 Feb 2012 13:42:18 +0000</pubDate>
         <content:encoded><![CDATA[Lombard Risk Management plc (LSE:LRM) ("Lombard Risk"), a leading global provider of integrated collateral management and liquidity, regulatory and MIS reporting solutions for the financial services industry, addresses Title VII of Dodd-Frank Act with its Dodd-Frank Act Engine solution.read more...<img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/7Vw3pRmBbIw" height="1" width="1"/>]]></content:encoded>
      <feedburner:origLink>http://www.moneyscience.com/pg/newsfeeds/LombardRiskManagement/item/273608/lombard-risk-doddfrank-act-engine-as-solution-for-title-vii-regulation-of-otc-swaps-markets</feedburner:origLink></item>
      <item>
         <title>Vendor News: The Institutionalisation of Hedge Funds - The Investor Due Diligence Bar Rises Ever Higher</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/CukOn8c6KXQ/the-institutionalisation-of-hedge-funds-the-investor-due-diligence-bar-rises-ever-higher</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/newsfeeds/KBAssociates/item/271620/the-institutionalisation-of-hedge-funds-the-investor-due-diligence-bar-rises-ever-higher</guid>
         <pubDate>Mon, 20 Feb 2012 15:34:03 +0000</pubDate>
         <content:encoded><![CDATA[KB Associates Profile at MoneyScience Home Page read more...<img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/CukOn8c6KXQ" height="1" width="1"/>]]></content:encoded>
      <feedburner:origLink>http://www.moneyscience.com/pg/newsfeeds/KBAssociates/item/271620/the-institutionalisation-of-hedge-funds-the-investor-due-diligence-bar-rises-ever-higher</feedburner:origLink></item>
      <item>
         <title>Vendor News: Tradeweb Launches Multi-Dealer Trading Platform For FX Options</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/7Ky83QRL7h4/tradeweb-launches-multidealer-trading-platform-for-fx-options</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/newsfeeds/Tradeweb/item/270964/tradeweb-launches-multidealer-trading-platform-for-fx-options</guid>
         <pubDate>Sun, 19 Feb 2012 07:31:35 +0000</pubDate>
         <content:encoded><![CDATA[LONDON February 16, 2012: Tradeweb Markets LLC announced the  introduction of an electronic, multi-dealer-to-customer trading platform  for FX options.&nbsp; This is the fourth derivatives marketplace to have  been launched by Tradeweb since 2005. The new platform enables options  trading on major currencies and allows buy-side investors to request  quotes from several dealers simultaneously. Participants also benefit  from integrated trade processing and post-trade reporting.read more...<img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/7Ky83QRL7h4" height="1" width="1"/>]]></content:encoded>
      <feedburner:origLink>http://www.moneyscience.com/pg/newsfeeds/Tradeweb/item/270964/tradeweb-launches-multidealer-trading-platform-for-fx-options</feedburner:origLink></item>
      <item>
         <title>Vendor News: NYSE Euronext Announces Acquisition of Strategic Shareholder Interest in Fixnetix</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/9jQnEElwN_A/nyse-euronext-announces-acquisition-of-strategic-shareholder-interest-in-fixnetix</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/newsfeeds/Fixnetix/item/268963/nyse-euronext-announces-acquisition-of-strategic-shareholder-interest-in-fixnetix</guid>
         <pubDate>Thu, 16 Feb 2012 11:20:22 +0000</pubDate>
         <content:encoded><![CDATA[NYSE Euronext Announces Acquisition of Strategic Shareholder Interest in Fixnetixread more...<img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/9jQnEElwN_A" height="1" width="1"/>]]></content:encoded>
      <feedburner:origLink>http://www.moneyscience.com/pg/newsfeeds/Fixnetix/item/268963/nyse-euronext-announces-acquisition-of-strategic-shareholder-interest-in-fixnetix</feedburner:origLink></item>
      <item>
         <title>Link Library: GPU-computing in econophysics and statistical physics (pdf)</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/JJDGtc8E0Bc/gpucomputing-in-econophysics-and-statistical-physics-pdf</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/bookmarks/Admin/read/265372/gpucomputing-in-econophysics-and-statistical-physics-pdf</guid>
         <pubDate>Sun, 12 Feb 2012 10:19:43 +0000</pubDate>
      <description>Tobias Preis

&amp;nbsp;

Abstract

A recent trend in computer science and related fields is general purpose computing on graphics processing units (GPUs), which can yield impressive performance. With multiple cores connected by high memory bandwidth, today&amp;rsquo;s GPUs offer resources for non-graphics parallel processing. This article provides a brief introduction into the field of GPU computing and includes examples. In particular computationally expensive analyses employed in financial market context are coded on a graphics card architecture which leads to a significant reduction of computing time. In order to demonstrate the wide range of possible applications, a standard model in statistical physics &amp;ndash; the Ising model &amp;ndash; is ported to a graphics card architecture as well, resulting in large speedup values.&lt;img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/JJDGtc8E0Bc" height="1" width="1"/&gt;</description><feedburner:origLink>http://www.moneyscience.com/pg/bookmarks/Admin/read/265372/gpucomputing-in-econophysics-and-statistical-physics-pdf</feedburner:origLink></item>
      <item>
         <title>Vendor News: SAP Achieves 2011 Sustainability Goals With Increases in Carbon Efficiency, Women in Management and Employee Engagement</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/Ar7PlLIA2j0/sap-achieves-2011-sustainability-goals-with-increases-in-carbon-efficiency-women-in-management-and-employee-engagement</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/newsfeeds/SAPSoftware/item/260108/sap-achieves-2011-sustainability-goals-with-increases-in-carbon-efficiency-women-in-management-and-employee-engagement</guid>
         <pubDate>Sat, 04 Feb 2012 23:48:56 +0000</pubDate>
         <content:encoded><![CDATA[Executing on its commitment to help the world run better and improve people&rsquo;s lives, SAP AG (NYSE: SAP) today announced its preliminary sustainability performance  results for 2011. As a leading provider of sustainability solutions, SAP  also strives to implement sustainable business practices across its own  global operations.read more...<img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/Ar7PlLIA2j0" height="1" width="1"/>]]></content:encoded>
      <feedburner:origLink>http://www.moneyscience.com/pg/newsfeeds/SAPSoftware/item/260108/sap-achieves-2011-sustainability-goals-with-increases-in-carbon-efficiency-women-in-management-and-employee-engagement</feedburner:origLink></item>
      <item>
         <title>Vendor News: Rogue Wave Delivers TotalView for IBM Blue Gene/Q to LLNL</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/tkO_N-MosKw/rogue-wave-delivers-totalview-for-ibm-blue-geneq-to-llnl</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/newsfeeds/RogueWave/item/260106/rogue-wave-delivers-totalview-for-ibm-blue-geneq-to-llnl</guid>
         <pubDate>Sat, 04 Feb 2012 23:33:02 +0000</pubDate>
         <content:encoded><![CDATA[Boulder, CO, February 1, 2012 &ndash; Rogue Wave Software and Lawrence Livermore National Laboratory (LLNL) today announced that Rogue Wave has delivered a pre-release version of TotalView, optimized for the IBM Blue Gene/Q-based Sequoia supercomputer. This is a significant milestone in the multi-year collaboration between LLNL, Rogue Wave, and IBM.read more...<img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/tkO_N-MosKw" height="1" width="1"/>]]></content:encoded>
      <feedburner:origLink>http://www.moneyscience.com/pg/newsfeeds/RogueWave/item/260106/rogue-wave-delivers-totalview-for-ibm-blue-geneq-to-llnl</feedburner:origLink></item>
      <item>
         <title>Vendor News: StatPro Revolution Named "Best Buy-Side Newcomer" at 2011 Buy Side Technology Awards</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/tKODNBXSJvk/statpro-revolution-named-best-buyside-newcomer-at-2011-buy-side-technology-awards</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/newsfeeds/Statpro/item/260082/statpro-revolution-named-best-buyside-newcomer-at-2011-buy-side-technology-awards</guid>
         <pubDate>Sat, 04 Feb 2012 22:55:48 +0000</pubDate>
         <content:encoded><![CDATA[London, UK (7 November, 2011) plc (AIM: SOG), a global leader in portfolio analytics and valuation data solutions since 1994, was awarded the Best Buy-Side Newcomer StatPro Revolution at the 2011 Buy Side Technology Awards. The annual awards honor the achievements of firms that service asset and hedge fund managers and are adjudicated by an expert panel from the buy side industry, including consultancies, analyst firms and the editorial team at Buy Side Technology.read more...<img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/tKODNBXSJvk" height="1" width="1"/>]]></content:encoded>
      <feedburner:origLink>http://www.moneyscience.com/pg/newsfeeds/Statpro/item/260082/statpro-revolution-named-best-buyside-newcomer-at-2011-buy-side-technology-awards</feedburner:origLink></item>
      <item>
         <title>Vendor News: Orchestrade Partners with Numerix to Expand Cross-Asset Pricing, Valuation and Risk Coverage</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/wnV80_Y4c_M/orchestrade-partners-with-numerix-to-expand-crossasset-pricing-valuation-and-risk-coverage</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/newsfeeds/Numerix/item/260051/orchestrade-partners-with-numerix-to-expand-crossasset-pricing-valuation-and-risk-coverage</guid>
         <pubDate>Sat, 04 Feb 2012 21:31:53 +0000</pubDate>
         <content:encoded><![CDATA[New York &ndash; January 31, 2012 &ndash; Numerix (www.numerix.com), the leading provider of cross-asset analytics for derivatives valuations and risk management, along with Orchestrade Financial Systems (www.orchestrade.com), providers of middle office operations and risk management solutions to alternative investment management firms, today announced their partnership to offer integrated access to Powered by Numerix&trade; pricing and risk analytics within the Orchestrade trading and risk platform.read more...<img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/wnV80_Y4c_M" height="1" width="1"/>]]></content:encoded>
      <feedburner:origLink>http://www.moneyscience.com/pg/newsfeeds/Numerix/item/260051/orchestrade-partners-with-numerix-to-expand-crossasset-pricing-valuation-and-risk-coverage</feedburner:origLink></item>
      <item>
         <title>Vendor News: Intrinsic Research Systems partners with Kalotay Analytics</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/FOvO-WM3pVA/intrinsic-research-systems-partners-with-kalotay-analytics</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/newsfeeds/AndrewKalotayAssociates/item/253765/intrinsic-research-systems-partners-with-kalotay-analytics</guid>
         <pubDate>Fri, 27 Jan 2012 06:50:43 +0000</pubDate>
         <content:encoded><![CDATA[Intrinsic Research Systems to Release A New Fixed Income Data Module. Firm Partners with Andrew Kalotay Associates for Bond Analytics.Charlotte, NC (PRWEB) October 26, 2011 -- Intrinsic Research Systems, Inc., a Mergent company, today announced the addition of fixed income research and analytic capabilities to the Intrinsic Research security analysis platform.Intrinsic&rsquo;s BondViewer module, powered by analytics from Andrew Kalotay Associates, is designed for front, middle and back office use, providing transparency on over 230,000 U.S corporate and 2.6 million municipal bonds. Mergent&rsquo;s industry leading terms and conditions, pricing, ratings history and bond analytics represent some of the robust data available for each bond.Intrinsic&rsquo;s BondViewer module is available as a standalone fixed income research desktop solution or as an integrated add-on to Intrinsic&rsquo;s extensive equity research and valuation analysis platform. BondViewer provides unlimited access to...<img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/FOvO-WM3pVA" height="1" width="1"/>]]></content:encoded>
      <feedburner:origLink>http://www.moneyscience.com/pg/newsfeeds/AndrewKalotayAssociates/item/253765/intrinsic-research-systems-partners-with-kalotay-analytics</feedburner:origLink></item>
      <item>
         <title>Vendor News: Quantifi Wins Risk Magazine&amp;acirc;s Coveted Risk Management Technology Product of the Year Award</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/xqo5teIxHzg/quantifi-wins-risk-magazines-coveted-risk-management-technology-product-of-the-year-award</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/newsfeeds/Quantifi/item/253724/quantifi-wins-risk-magazines-coveted-risk-management-technology-product-of-the-year-award</guid>
         <pubDate>Fri, 27 Jan 2012 05:58:39 +0000</pubDate>
         <content:encoded><![CDATA[London and New York - Quantifi, a leading provider of analytics, trading and risk management solutions to the global OTC markets, today announced that Quantifi has achieved one of the industry&rsquo;s highest accolades having won &lsquo;Risk Management Technology Product of the Year&rsquo; in Risk Magazine&rsquo;s 2012 Risk Awards.read more...<img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/xqo5teIxHzg" height="1" width="1"/>]]></content:encoded>
      <feedburner:origLink>http://www.moneyscience.com/pg/newsfeeds/Quantifi/item/253724/quantifi-wins-risk-magazines-coveted-risk-management-technology-product-of-the-year-award</feedburner:origLink></item>
      <item>
         <title>Vendor News: AlignAlytics announces strategic alliance with TransAccel Group Neary named to solutions leadership role with premier services firm</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/yleHd-exq3o/alignalytics-announces-strategic-alliance-with-transaccel-group-neary-named-to-solutions-leadership-role-with-premier-services-firm</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/newsfeeds/AlignAlytics/item/252284/alignalytics-announces-strategic-alliance-with-transaccel-group-neary-named-to-solutions-leadership-role-with-premier-services-firm</guid>
         <pubDate>Wed, 25 Jan 2012 16:02:45 +0000</pubDate>
         <content:encoded><![CDATA[&nbsp;read more...<img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/yleHd-exq3o" height="1" width="1"/>]]></content:encoded>
      <feedburner:origLink>http://www.moneyscience.com/pg/newsfeeds/AlignAlytics/item/252284/alignalytics-announces-strategic-alliance-with-transaccel-group-neary-named-to-solutions-leadership-role-with-premier-services-firm</feedburner:origLink></item>
      <item>
         <title>Link Library: Presentation - Parallel Computing and Applications in Finance (pdf)</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/u5q7mBDk2hw/presentation-parallel-computing-and-applications-in-finance-pdf</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/bookmarks/Admin/read/236003/presentation-parallel-computing-and-applications-in-finance-pdf</guid>
         <pubDate>Thu, 05 Jan 2012 16:08:54 +0000</pubDate>
      <description>Slides from a presentation by Cyril Godart (BNP Paribas).&lt;img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/u5q7mBDk2hw" height="1" width="1"/&gt;</description><feedburner:origLink>http://www.moneyscience.com/pg/bookmarks/Admin/read/236003/presentation-parallel-computing-and-applications-in-finance-pdf</feedburner:origLink></item>
      <item>
         <title>Link Library: General-Purpose Computing on Graphics Processing Units (GPGPU) article at Wikipedia</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/7QhP-WLiFGI/generalpurpose-computing-on-graphics-processing-units-gpgpu-article-at-wikipedia</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/bookmarks/Admin/read/235983/generalpurpose-computing-on-graphics-processing-units-gpgpu-article-at-wikipedia</guid>
         <pubDate>Thu, 05 Jan 2012 16:04:19 +0000</pubDate>
      <description>General-purpose computing on graphics processing units (GPGPU, also referred to as GPGP and less often GP&amp;sup2;U) is the technique of using a GPU, which typically handles computation only for computer graphics, to perform computation in applications traditionally handled by the CPU. It is made possible by the addition of programmable stages and higher precision arithmetic to the rendering pipelines, which allows programmers to use stream processing on non-graphics data[1][2][3].  Additionally, the use of multiple graphics cards in a single computer,  or large numbers of graphics chips, further parallelizes the already  parallel nature of graphics processing.

Full Article Here.&lt;img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/7QhP-WLiFGI" height="1" width="1"/&gt;</description><feedburner:origLink>http://www.moneyscience.com/pg/bookmarks/Admin/read/235983/generalpurpose-computing-on-graphics-processing-units-gpgpu-article-at-wikipedia</feedburner:origLink></item>
      <item>
         <title>Link Library: Presentation - Computational finance on GPUs (pdf)</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/h2mvMed1nyE/presentation-computational-finance-on-gpus-pdf</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/bookmarks/Admin/read/235973/presentation-computational-finance-on-gpus-pdf</guid>
         <pubDate>Thu, 05 Jan 2012 15:59:40 +0000</pubDate>
      <description>A presentation by Mike Giles from the Oxford Man Institute for Quantitative Finance, covers:

computational finance
scientific computing on GPUs
random number generation
finite difference applications
current developments&lt;img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/h2mvMed1nyE" height="1" width="1"/&gt;</description><feedburner:origLink>http://www.moneyscience.com/pg/bookmarks/Admin/read/235973/presentation-computational-finance-on-gpus-pdf</feedburner:origLink></item>
      <item>
         <title>Link Library: Martin Keller-Ressel's R-Code for Finance</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/SAHFQihyBp0/martin-kellerressels-rcode-for-finance</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/bookmarks/Admin/read/212979/martin-kellerressels-rcode-for-finance</guid>
         <pubDate>Tue, 13 Dec 2011 17:45:57 +0000</pubDate>
      <description>No longer actively maintained but still useful:
Download Option Data and Plot Smiles

yahoo_opt.R

This R program can be used to download option price data from Yahoo to a data frame and to plot the corresponding implied-volatility smiles. Requires package 'fCalendar'. After downloading and sourcing the file try the following lines of code:


opt &amp;lt;- yahoo.getAllOptions("IBM") ## download data

summary(opt)                      ## data overview

plot.smile(opt)                   ## plot 2d volatility smiles

plot3d.smile(opt)                 ## plot 3d volatility smiles


Visualize Levy Processes

levy_proc.R

This R program contains functions to plot trajectories of several Levy processes. The processes implemented are alpha-stable processes, Variance-Gamma and Normal-Inverse-Gaussian processes. Requires packages 'SuppDists' and 'fBasics'. After downloading and sourcing the file try the following lines of code:


plot.multi(stable.proc,alpha=1.7,beta=1)         ## Stable...&lt;img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/SAHFQihyBp0" height="1" width="1"/&gt;</description><feedburner:origLink>http://www.moneyscience.com/pg/bookmarks/Admin/read/212979/martin-kellerressels-rcode-for-finance</feedburner:origLink></item>
      <item>
         <title>Link Library: Lush: Lisp Universal SHell</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/CBffySZY1B0/lush-lisp-universal-shell</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/bookmarks/Admin/read/202617/lush-lisp-universal-shell</guid>
         <pubDate>Tue, 06 Dec 2011 14:51:10 +0000</pubDate>
      <description>Lush is an object-oriented programming language designed for researchers, experimenters, and engineers interested in large-scale numerical and graphic applications.  Lush is designed to be used in situations where one would want to combine the flexibility of a high-level, weakly-typed interpreted language, with the efficiency of a strongly-typed, natively-compiled language, and with the easy integration of code written in C, C++, or other languages.&lt;img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/CBffySZY1B0" height="1" width="1"/&gt;</description><feedburner:origLink>http://www.moneyscience.com/pg/bookmarks/Admin/read/202617/lush-lisp-universal-shell</feedburner:origLink></item>
      <item>
         <title>Link Library: List of R functions and packages for Computational Econometrics</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/HCnAfcn092s/list-of-r-functions-and-packages-for-computational-econometrics</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/bookmarks/Admin/read/185470/list-of-r-functions-and-packages-for-computational-econometrics</guid>
         <pubDate>Mon, 21 Nov 2011 16:36:10 +0000</pubDate>
      <description>This extensive resource is maintained by Achim Zeileis.


Base R ships with a lot of functionality useful for computational     econometrics, in particular in the stats package. This     functionality is complemented by many packages on CRAN, a brief overview     is given below. There is also a considerable overlap between the tools     for econometrics in this view and for finance in the Finance view.     Furthermore, the          Finance SIG  is a suitable mailing list for obtaining help     and discussing questions about both computational finance and econometrics.     Finally, there is also some overlap with the SocialSciences that     also covers a broad variety of tools for social sciences, e.g., including political science.&lt;img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/HCnAfcn092s" height="1" width="1"/&gt;</description><feedburner:origLink>http://www.moneyscience.com/pg/bookmarks/Admin/read/185470/list-of-r-functions-and-packages-for-computational-econometrics</feedburner:origLink></item>
      <item>
         <title>Link Library: Mathtools.net - Link Exchange for the Technical Computing Community</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/6nxIX99rXlQ/mathtoolsnet-link-exchange-for-the-technical-computing-community</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/bookmarks/Admin/read/131628/mathtoolsnet-link-exchange-for-the-technical-computing-community</guid>
         <pubDate>Sat, 08 Oct 2011 06:51:19 +0000</pubDate>
      <description>Lots of interesting links here:









 

 Collection 
 Databases 
 Documentation 
 Education 
 Equipment 
 Financial Data and Services 
 Journals 
 Markets 
 Organizations 
 Personal Finance 
 Research 
 Risk Management 
 Software and Tools 
 Tutorials
 Web resources








&amp;nbsp;&amp;nbsp;
Related Categories 

 C,C++/Finance and Economics 
 Excel/Finance and Economics 
 Fortran/Finance and Economics 
 Java/Finance and Economics&lt;img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/6nxIX99rXlQ" height="1" width="1"/&gt;</description><feedburner:origLink>http://www.moneyscience.com/pg/bookmarks/Admin/read/131628/mathtoolsnet-link-exchange-for-the-technical-computing-community</feedburner:origLink></item>
      <item>
         <title>Link Library: Black-Scholes option pricing with CUDA - Nvidia (pdf)</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/sapXw6E-beU/blackscholes-option-pricing-with-cuda-nvidia-pdf</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/bookmarks/Admin/read/119936/blackscholes-option-pricing-with-cuda-nvidia-pdf</guid>
         <pubDate>Fri, 30 Sep 2011 08:21:22 +0000</pubDate>
      <description>Victor Podlozhnyuk

&amp;nbsp;

Abstract

The pricing of options is a very important problem encountered in financial engineering since the creation of organized option trading in 1973. This sample shows an implementation of the Black-Scholes model in CUDA for European options.&lt;img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/sapXw6E-beU" height="1" width="1"/&gt;</description><feedburner:origLink>http://www.moneyscience.com/pg/bookmarks/Admin/read/119936/blackscholes-option-pricing-with-cuda-nvidia-pdf</feedburner:origLink></item>
      <item>
         <title>Link Library: Monte Carlo Option Pricing with CUDA - NVIDIA</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/j18QncdqIAA/monte-carlo-option-pricing-with-cuda-nvidia</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/bookmarks/Admin/read/119849/monte-carlo-option-pricing-with-cuda-nvidia</guid>
         <pubDate>Fri, 30 Sep 2011 05:52:19 +0000</pubDate>
      <description>Victor Podlozhnyuk and Mark Harris

&amp;nbsp;

Abstract

The pricing of options has been a very important problem encountered in financial engineering since the advent of organized option trading in 1973. As more computation has been applied to finance-related problems, finding efficient implementations of option pricing models on modern architectures has become more important. This white paper describes an implementation of the Monte Carlo approach to option pricing in CUDA. For complete implementation details, please see the &amp;ldquo;MonteCarlo&amp;rdquo; example in the NVIDIA CUDA SDK.&lt;img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/j18QncdqIAA" height="1" width="1"/&gt;</description><feedburner:origLink>http://www.moneyscience.com/pg/bookmarks/Admin/read/119849/monte-carlo-option-pricing-with-cuda-nvidia</feedburner:origLink></item>
      <item>
         <title>Link Library: Introductory Econometrics - Excel add-ins</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/MGvqXmcNZ_Q/introductory-econometrics-excel-addins</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/bookmarks/Admin/read/96761/introductory-econometrics-excel-addins</guid>
         <pubDate>Mon, 12 Sep 2011 09:03:43 +0000</pubDate>
      <description>Humberto Barreto
 Allen Distinguished University Professor at DePauw University

Frank M. Howland,
 Professor of Economics at Wabash College

This web site supports our book, Introductory Econometrics: Using Monte      Carlo Simulation with Microsoft Excel, published by Cambridge University      Press. Our fundamental strategy is to use clear language and take advantage      of recent developments in computers to create concrete, visual explanations      of difficult, abstract ideas.

This web site makes available the introductory sections and Excel workbooks      from each chapter so you can see what we cover and how we present the material.

In addition, we've decided to make the Excel add-ins that we've written freely      available. We've used these add-ins to greatly improve our teaching and we      hope others can benefit from the sophisticated algorithms we've developed.      Of course, we ask that you properly credit and cite our work if you use these      materials. We'd love...&lt;img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/MGvqXmcNZ_Q" height="1" width="1"/&gt;</description><feedburner:origLink>http://www.moneyscience.com/pg/bookmarks/Admin/read/96761/introductory-econometrics-excel-addins</feedburner:origLink></item>
      <item>
         <title>Link Library: Crash into Python</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/Blq6N_gHjuw/crash-into-python</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/bookmarks/Admin/read/66066/crash-into-python</guid>
         <pubDate>Mon, 15 Aug 2011 09:16:42 +0000</pubDate>
      <description>Crash into Python is a set of documents/slides that are meant to be used as a teaching aid for bringing programmers from other languages up to speed with Python. It assumes that you have enough familiarity with programming to know what function and class mean, and will recognize that print probably doesn't put ink on paper. More importantly, it assumes that you either have an instructor who is well-versed in Python, or are resourceful enough to find answers for yourself. A number of these slides are designed to trigger questions and discussion, so if it seems like you're missing something, that's a good sign you could be digging deeper.&lt;img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/Blq6N_gHjuw" height="1" width="1"/&gt;</description><feedburner:origLink>http://www.moneyscience.com/pg/bookmarks/Admin/read/66066/crash-into-python</feedburner:origLink></item>
      <item>
         <title>Link Library: MIT OpenCourseWare - Integer Programming and Combinatorial Optimization, Fall 2009</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/TrH7U_lwOZI/mit-opencourseware-integer-programming-and-combinatorial-optimization-fall-2009</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/bookmarks/Admin/read/48825/mit-opencourseware-integer-programming-and-combinatorial-optimization-fall-2009</guid>
         <pubDate>Fri, 29 Jul 2011 11:18:45 +0000</pubDate>
      <description>The course is a comprehensive introduction to the theory, algorithms and  applications of integer optimization and is organized in four parts:  formulations and relaxations, algebra and geometry of integer  optimization, algorithms for integer optimization, and extensions of  integer optimization.&lt;img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/TrH7U_lwOZI" height="1" width="1"/&gt;</description><feedburner:origLink>http://www.moneyscience.com/pg/bookmarks/Admin/read/48825/mit-opencourseware-integer-programming-and-combinatorial-optimization-fall-2009</feedburner:origLink></item>
      <item>
         <title>Link Library: MIT OpenCourseWare - Nonlinear Programming, Spring 2004</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/GJQNS16xn6s/mit-opencourseware-nonlinear-programming-spring-2004</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/bookmarks/Admin/read/48820/mit-opencourseware-nonlinear-programming-spring-2004</guid>
         <pubDate>Fri, 29 Jul 2011 11:15:44 +0000</pubDate>
      <description>This course introduces students to the fundamentals of nonlinear  optimization theory and methods. Topics include unconstrained and  constrained optimization, linear and quadratic programming, Lagrange and  conic duality theory, interior-point algorithms and theory, Lagrangian  relaxation, generalized programming, and semi-definite programming.  Algorithmic methods used in the class include steepest descent, Newton's  method, conditional gradient and subgradient optimization,  interior-point methods and penalty and barrier methods.&lt;img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/GJQNS16xn6s" height="1" width="1"/&gt;</description><feedburner:origLink>http://www.moneyscience.com/pg/bookmarks/Admin/read/48820/mit-opencourseware-nonlinear-programming-spring-2004</feedburner:origLink></item>
      <item>
         <title>Link Library: Clever Algorithms - Nature Inspired Recipies</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/tehbnup967M/clever-algorithms-nature-inspired-recipies</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/bookmarks/Admin/read/15044/clever-algorithms-nature-inspired-recipies</guid>
         <pubDate>Mon, 27 Jun 2011 00:20:58 +0000</pubDate>
      <description>The book "Clever Algorithms: Nature-Inspired Programming Recipes"  by Jason Brownlee PhD describes 45 algorithms from the field of  Artificial Intelligence. 			All algorithm descriptions are complete and consistent to ensure that  they are accessible, usable and understandable by a wide audience.

5 Reasons To Read:

45 algorithms described.
Designed specifically for Programmers, Research Scientists and Interested Amateurs.
Complete code examples in the Ruby programming language.
Standardized algorithm descriptions.
Algorithms drawn from the popular fields of Computational Intelligence, Metaheuristics, and Biologically Inspired Computation.&lt;img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/tehbnup967M" height="1" width="1"/&gt;</description><feedburner:origLink>http://www.moneyscience.com/pg/bookmarks/Admin/read/15044/clever-algorithms-nature-inspired-recipies</feedburner:origLink></item>
      <item>
         <title>Link Library: The Financial Services Grid Initiative</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/4jpQoIT4hn0/the-financial-services-grid-initiative</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/bookmarks/Admin/read/5615/the-financial-services-grid-initiative</guid>
         <pubDate>Mon, 20 Jun 2011 11:15:37 +0000</pubDate>
      <description>The Financial Services Grid Initiative was created                    to provide a utility platform for financial services                    companies based upon the use of Grid                    technologies as a utility resource, allowing for the                    implementation of a mixed computing environment                    on a common infrastructure.&lt;img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/4jpQoIT4hn0" height="1" width="1"/&gt;</description><feedburner:origLink>http://www.moneyscience.com/pg/bookmarks/Admin/read/5615/the-financial-services-grid-initiative</feedburner:origLink></item>
      <item>
         <title>Link Library: Java Quant - Quantitative Financial Algorithms</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/sIbJ1gmYPKg/java-quant-quantitative-financial-algorithms</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/bookmarks/Admin/read/5568/java-quant-quantitative-financial-algorithms</guid>
         <pubDate>Sat, 18 Jun 2011 20:52:14 +0000</pubDate>
      <description>Here you will find information about the evaluation of financial options     and the theory, definitions and models behind.

&amp;nbsp;&amp;nbsp;&amp;nbsp; This webpage provides Java Applets to calculate the     price of complex financial options, using the Monte Carlo technique, Binary     Trees, among others.&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;

&amp;nbsp;&amp;nbsp;&amp;nbsp; The source code written in Java and C++, together with     information about the structure of classes is available. The programs have been written following the Object     Oriented Paradigms.

&amp;nbsp;&amp;nbsp;&amp;nbsp; Check this table, with     option pricing applets.&lt;img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/sIbJ1gmYPKg" height="1" width="1"/&gt;</description><feedburner:origLink>http://www.moneyscience.com/pg/bookmarks/Admin/read/5568/java-quant-quantitative-financial-algorithms</feedburner:origLink></item>
      <item>
         <title>Link Library: JQuantLib</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/v965n9dDnUM/jquantlib</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/bookmarks/Admin/read/5567/jquantlib</guid>
         <pubDate>Sat, 18 Jun 2011 20:50:53 +0000</pubDate>
      <description>JQuantLib is a free, open-source, comprehensive framework for  quantitative finance, written in 100% Java. It provides "quants" and  Java application developers several mathematical and statistical tools  needed for the valuation of shares, options, futures, swaps, and other  financial instruments, also providing tools related to risk management  and money management.&lt;img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/v965n9dDnUM" height="1" width="1"/&gt;</description><feedburner:origLink>http://www.moneyscience.com/pg/bookmarks/Admin/read/5567/jquantlib</feedburner:origLink></item>
      <item>
         <title>Link Library: Stack Overflow</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/7rKi8Nj2h1U/stack-overflow</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/bookmarks/Admin/read/5566/stack-overflow</guid>
         <pubDate>Sat, 18 Jun 2011 20:28:59 +0000</pubDate>
      <description>Stack Overflow is a programming Q &amp;amp; A site that&amp;rsquo;s free. Free to ask questions, free to answer questions, free to     read, free to index, built with plain old HTML, no fake rot13 text on the home page, no scammy google-cloaking tactics,     no salespeople, no JavaScript windows dropping down in front of the answer asking for $12.95 to go away. You can register     if you want to collect karma and win valuable flair that will appear next to your name, but otherwise, it&amp;rsquo;s just free. And     fast. Very, very fast.

We don&amp;rsquo;t run Stack Overflow. You do. Stack Overflow is collaboratively built and maintained by your fellow programmers.     Once the system learns to trust you, you&amp;rsquo;ll be able to edit anything, much like Wikipedia.     With your help, we can build good answers to every imaginable programming question together. No matter what programming     language you use, or what operating system you call home &amp;ndash; better programming is our goal.&lt;img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/7rKi8Nj2h1U" height="1" width="1"/&gt;</description><feedburner:origLink>http://www.moneyscience.com/pg/bookmarks/Admin/read/5566/stack-overflow</feedburner:origLink></item>
      <item>
         <title>Link Library: The Quantian Scientific Computing Environment</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/j0X3oGFYqJU/the-quantian-scientific-computing-environment</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/bookmarks/Admin/read/5562/the-quantian-scientific-computing-environment</guid>
         <pubDate>Sat, 18 Jun 2011 20:04:08 +0000</pubDate>
      <description>A Knoppix / Debian variant tailored to numerical and quantitative analysis.

Quantian is a remastering of Knoppix, the self-configuring and directly bootable cdrom/dvd that turns any pc or laptop (provided it can boot from cdrom/dvd) into a full-featured Linux workstation. Quantian also incorporates  clusterKnoppix and adds support for openMosix, including remote booting of light clients in an openMosix terminal server context. Earlier releases are still available; see below for URLs for downloads as well as ordering information.&lt;img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/j0X3oGFYqJU" height="1" width="1"/&gt;</description><feedburner:origLink>http://www.moneyscience.com/pg/bookmarks/Admin/read/5562/the-quantian-scientific-computing-environment</feedburner:origLink></item>
      <item>
         <title>Link Library: Marketcetera - Open Source High Frequency Trading</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/E-IuWmUdqDk/marketcetera-open-source-high-frequency-trading</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/bookmarks/Admin/read/5561/marketcetera-open-source-high-frequency-trading</guid>
         <pubDate>Sat, 18 Jun 2011 20:01:15 +0000</pubDate>
      <description>Marketcetera democratizes access to high frequency trading. Our open  source, automated trading platform provides you with the control and  flexibility to implement your new strategies in moments, even while you  reduce your infrastructure costs. Download. Run. Trade.&lt;img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/E-IuWmUdqDk" height="1" width="1"/&gt;</description><feedburner:origLink>http://www.moneyscience.com/pg/bookmarks/Admin/read/5561/marketcetera-open-source-high-frequency-trading</feedburner:origLink></item>
      <item>
         <title>Link Library: QFF - The Quantitative Finance Framework</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/OeFt30Ngxn4/qff-the-quantitative-finance-framework</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/bookmarks/Admin/read/5560/qff-the-quantitative-finance-framework</guid>
         <pubDate>Sat, 18 Jun 2011 19:57:47 +0000</pubDate>
      <description>The Quantitative Finance Framework (QFF) is intended to support the  development of software libraries in mathematical finance. The main  fields of applications are the pricing of derivatives and the management  of financial risks.

QFF is an open source project supported by the Bielefeld University.  Its source code is avaliable at sourceforge, one of the largest open  source repositories of the world wide web.&lt;img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/OeFt30Ngxn4" height="1" width="1"/&gt;</description><feedburner:origLink>http://www.moneyscience.com/pg/bookmarks/Admin/read/5560/qff-the-quantitative-finance-framework</feedburner:origLink></item>
      <item>
         <title>Link Library: GNU Octave</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/lS-azgU4sHA/gnu-octave</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/bookmarks/Admin/read/5559/gnu-octave</guid>
         <pubDate>Sat, 18 Jun 2011 19:54:10 +0000</pubDate>
      <description>GNU Octave is a high-level interpreted language, primarily intended for numerical computations.  It provides capabilities for the numerical solution of linear and nonlinear problems, and for performing other numerical experiments.  It also provides extensive graphics capabilities for data visualization and manipulation.  Octave is normally used through its interactive command line interface, but it can also be used to write non-interactive programs.  The Octave language is quite similar to Matlab so that most programs are easily portable.&lt;img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/lS-azgU4sHA" height="1" width="1"/&gt;</description><feedburner:origLink>http://www.moneyscience.com/pg/bookmarks/Admin/read/5559/gnu-octave</feedburner:origLink></item>
      <item>
         <title>Link Library: Kooderive - code for pricing financial derivatives products using CUDA</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/JnDweBsZry0/kooderive-code-for-pricing-financial-derivatives-products-using-cuda</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/bookmarks/Admin/read/5557/kooderive-code-for-pricing-financial-derivatives-products-using-cuda</guid>
         <pubDate>Sat, 18 Jun 2011 19:47:37 +0000</pubDate>
      <description>The objective of this project is to create a library of code for pricing  financial derivatives products using CUDA to achieve GPU programming,&lt;img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/JnDweBsZry0" height="1" width="1"/&gt;</description><feedburner:origLink>http://www.moneyscience.com/pg/bookmarks/Admin/read/5557/kooderive-code-for-pricing-financial-derivatives-products-using-cuda</feedburner:origLink></item>
      <item>
         <title>Link Library: ISDA CDS Standard Model</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/dOPD06JiwzA/isda-cds-standard-model</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/bookmarks/Admin/read/5556/isda-cds-standard-model</guid>
         <pubDate>Sat, 18 Jun 2011 19:43:16 +0000</pubDate>
      <description>The ISDA CDS Standard Model is a source code for CDS calculations and can be downloaded freely through this website.

The source code is copyright of ISDA and available under an Open Source license.
&amp;nbsp;
Background

As the CDS market evolves to trade single name contracts with a fixed coupon and upfront payment, it is critical for CDS investors to match the upfront payment amounts and to be able to translate upfront quotations to spread quotations and vice versa in a standardized manner.

One of the primary goals in making the code available is to enhance transparency and to optimize use of standard technology for CDS pricing. Implementing the ISDA CDS Standard Model and using the agreed standard input parameters will allow CDS market participants to tie out calculations and thus improve consistency and reduce operational differences downstream.&lt;img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/dOPD06JiwzA" height="1" width="1"/&gt;</description><feedburner:origLink>http://www.moneyscience.com/pg/bookmarks/Admin/read/5556/isda-cds-standard-model</feedburner:origLink></item>
      <item>
         <title>Link Library: Santa Fe Institute "Artificial Stock Market" simulation model</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/W6zEoCy5BoU/santa-fe-institute-artificial-stock-market-simulation-model</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/bookmarks/Admin/read/5554/santa-fe-institute-artificial-stock-market-simulation-model</guid>
         <pubDate>Sat, 18 Jun 2011 19:28:48 +0000</pubDate>
      <description>Several articles have been published using the Artificial Stock Market model.   The model simulates prices &amp;amp; trade levels in a market made up of "artificial adaptive agents."  This is a prototype example of a "complex system" and is thought to illustrate the benefits of simulation modeling.&lt;img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/W6zEoCy5BoU" height="1" width="1"/&gt;</description><feedburner:origLink>http://www.moneyscience.com/pg/bookmarks/Admin/read/5554/santa-fe-institute-artificial-stock-market-simulation-model</feedburner:origLink></item>
      <item>
         <title>Link Library: Agent Based Market Model Simulator</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/80F9UOKyNeI/agent-based-market-model-simulator</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/bookmarks/Admin/read/5553/agent-based-market-model-simulator</guid>
         <pubDate>Sat, 18 Jun 2011 19:26:29 +0000</pubDate>
      <description>The project simulates a generic agent based market model. The aim is to  explore intimately, by simulation, the process of price formation and  the market microstructure.&lt;img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/80F9UOKyNeI" height="1" width="1"/&gt;</description><feedburner:origLink>http://www.moneyscience.com/pg/bookmarks/Admin/read/5553/agent-based-market-model-simulator</feedburner:origLink></item>
      <item>
         <title>Link Library: Wavelet Software</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/2DNHppmcdl8/wavelet-software</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/bookmarks/Admin/read/5552/wavelet-software</guid>
         <pubDate>Sat, 18 Jun 2011 19:05:51 +0000</pubDate>
      <description>An extensive collection of wavelet related software and programming resources.&lt;img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/2DNHppmcdl8" height="1" width="1"/&gt;</description><feedburner:origLink>http://www.moneyscience.com/pg/bookmarks/Admin/read/5552/wavelet-software</feedburner:origLink></item>
      <item>
         <title>Link Library: The Gaussian Processes Web Site</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/Fmr3Ov27Se4/the-gaussian-processes-web-site</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/bookmarks/Admin/read/5551/the-gaussian-processes-web-site</guid>
         <pubDate>Sat, 18 Jun 2011 19:03:34 +0000</pubDate>
      <description>This web site aims to provide an overview of resources concerned with probabilistic modeling, inference and learning based on Gaussian processes.  Although Gaussian processes have a long history in the field of statistics, they seem to have been employed extensively only in niche areas. With the advent of kernel machines in the machine learning community, models based on Gaussian processes have become commonplace for problems of regression (kriging) and classification as well as a host of more specialized applications.&lt;img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/Fmr3Ov27Se4" height="1" width="1"/&gt;</description><feedburner:origLink>http://www.moneyscience.com/pg/bookmarks/Admin/read/5551/the-gaussian-processes-web-site</feedburner:origLink></item>
      <item>
         <title>Link Library: Stochastic Programming Community Home Page</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/-laUI8f2MS4/stochastic-programming-community-home-page</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/bookmarks/Admin/read/5550/stochastic-programming-community-home-page</guid>
         <pubDate>Sat, 18 Jun 2011 19:02:55 +0000</pubDate>
      <description>The Stochastic Programming (SP) Community is a world-wide group of researchers who are developing models, methods, and theory for decisions under uncertainty. The activities of this community facilitate the advancement of knowledge through its triennial conferences, specialized workshops, and rapid (electronic) dissemination of research via the Stochastic Programming E-Print Series (SPEPS).&lt;img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/-laUI8f2MS4" height="1" width="1"/&gt;</description><feedburner:origLink>http://www.moneyscience.com/pg/bookmarks/Admin/read/5550/stochastic-programming-community-home-page</feedburner:origLink></item>
      <item>
         <title>Link Library: Statistical Data Mining Tutorials</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/ZQHIdKqkSag/statistical-data-mining-tutorials</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/bookmarks/Admin/read/5549/statistical-data-mining-tutorials</guid>
         <pubDate>Sat, 18 Jun 2011 19:01:17 +0000</pubDate>
      <description>This list of links point to a set of tutorials on many aspects of  statistical data mining, including the foundations of probability, the  foundations of statistical data analysis, and most of the classic  machine learning and data mining algorithms.

These include classification algorithms such as decision trees, neural nets, Bayesian classifiers, Support Vector Machines and cased-based (aka non-parametric) learning.  They include regression algorithms such as multivariate polynomial regression, MARS, Locally Weighted Regression, GMDH and neural nets.  And they include other data mining operations such as clustering (mixture models, k-means and hierarchical), Bayesian networks and Reinforcement Learning.&lt;img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/ZQHIdKqkSag" height="1" width="1"/&gt;</description><feedburner:origLink>http://www.moneyscience.com/pg/bookmarks/Admin/read/5549/statistical-data-mining-tutorials</feedburner:origLink></item>
      <item>
         <title>Link Library: Signs that you're a bad programmer - Software Engineering Tips</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/djv7P9ny2NI/signs-that-youre-a-bad-programmer-software-engineering-tips</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/bookmarks/Admin/read/5548/signs-that-youre-a-bad-programmer-software-engineering-tips</guid>
         <pubDate>Sat, 18 Jun 2011 18:57:16 +0000</pubDate>
      <description>Most of these faults were discovered the hard way by the author himself, either because he committed them himself or saw them in the work of others. 

This paper is not meant for grading programmers, it was intended to be read by programmers who trust their ability to judge when something is a sign of bad practice, and when it's a consequence of special circumstances.

This paper was written to force its author to think, and published because he thinks you lot would probably get a kick out of it, too.&lt;img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/djv7P9ny2NI" height="1" width="1"/&gt;</description><feedburner:origLink>http://www.moneyscience.com/pg/bookmarks/Admin/read/5548/signs-that-youre-a-bad-programmer-software-engineering-tips</feedburner:origLink></item>
      <item>
         <title>Link Library: C and C++ Programming tutorials and Source code - MYCPLUS</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/ZvlZKJWrikk/c-and-c-programming-tutorials-and-source-code-mycplus</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/bookmarks/Admin/read/5547/c-and-c-programming-tutorials-and-source-code-mycplus</guid>
         <pubDate>Sat, 18 Jun 2011 18:54:44 +0000</pubDate>
      <description>MYCPLUS &amp;ldquo;C and C++ Programming Resources&amp;rdquo; was developed after facing  difficulties in learning programming languages back in college and  university. The first ever computer programming I learnt was classical C  programming language. The main focus of the website is also on C and  C++ programming.

This website has been developed to help out the students who are  looking for resources on learning computer programming specially C and  C++ programming languages. The website provides necessary resources like  programming tutorials and source code and discussion forum where you  can post your problems.&lt;img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/ZvlZKJWrikk" height="1" width="1"/&gt;</description><feedburner:origLink>http://www.moneyscience.com/pg/bookmarks/Admin/read/5547/c-and-c-programming-tutorials-and-source-code-mycplus</feedburner:origLink></item>
      <item>
         <title>Link Library: Financial Document Pricing Using C++ - the webpage of the book</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/_gRJESelnCg/financial-document-pricing-using-c-the-webpage-of-the-book</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/bookmarks/Admin/read/5545/financial-document-pricing-using-c-the-webpage-of-the-book</guid>
         <pubDate>Sat, 18 Jun 2011 18:49:20 +0000</pubDate>
      <description>This is the unofficial website of this book, maintained by Dr. Egor  Kraev with the blessing of Dr. Daniel Duffy. The purpose of the site is  to compile in one place all issues, comments, and corrections for this  book. Please email egor@egor.ch if I've missed any web sources  containing substantive discussions of the book; if there was code in the  book that did not work as it should, and is not yet mentioned here,  please tell me (especially if you managed to fix it).

The authoritative source on anything connected with the book remains the C++ in Financial Engineering forum on Dr. Duffy's website.

&amp;nbsp;&lt;img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/_gRJESelnCg" height="1" width="1"/&gt;</description><feedburner:origLink>http://www.moneyscience.com/pg/bookmarks/Admin/read/5545/financial-document-pricing-using-c-the-webpage-of-the-book</feedburner:origLink></item>
      <item>
         <title>Link Library: ALGLIB - Cross-platform numerical analysis and data processing library</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/ITa03-CnmRU/alglib-crossplatform-numerical-analysis-and-data-processing-library</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/bookmarks/Admin/read/5542/alglib-crossplatform-numerical-analysis-and-data-processing-library</guid>
         <pubDate>Sat, 18 Jun 2011 18:36:22 +0000</pubDate>
      <description>ALGLIB is a cross-platform numerical analysis and data processing library. It supports several programming languages (C++, C#, Pascal, VBA) and several operating systems (Windows, Linux, Solaris). ALGLIB features include:

Linear algebra (direct algorithms, EVD/SVD)
Solvers (linear and nonlinear)
Interpolation
Optimization
Fast Fourier transforms
Numerical integration
Linear and nonlinear least-squares fitting
Ordinary differential equations
Special functions
Statistics (descriptive statistics, hypothesis testing)
Data analysis (classification/regression, including neural networks)
Multiple precision versions of linear algebra, interpolation  optimization and others algorithms (using MPFR for floating point  computations)&lt;img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/ITa03-CnmRU" height="1" width="1"/&gt;</description><feedburner:origLink>http://www.moneyscience.com/pg/bookmarks/Admin/read/5542/alglib-crossplatform-numerical-analysis-and-data-processing-library</feedburner:origLink></item>
      <item>
         <title>Link Library: QuantLib: a free/open-source library for quantitative finance</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/DA6zgUIL_o8/quantlib-a-freeopensource-library-for-quantitative-finance</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/bookmarks/Admin/read/5540/quantlib-a-freeopensource-library-for-quantitative-finance</guid>
         <pubDate>Sat, 18 Jun 2011 18:30:44 +0000</pubDate>
      <description>The QuantLib project is aimed at providing a comprehensive software framework for quantitative finance. QuantLib is a free/open-source library for modeling, trading, and risk management in real-life.

QuantLib is written in C++ with a clean object model, and is then exported to different languages such as C#, Objective Caml, Java, Perl, Python, GNU R, Ruby, and Scheme. The QuantLibAddin/QuantLibXL project uses ObjectHandler to export an object-oriented QuantLib interface to a variety of end-user platforms including Microsoft Excel and OpenOffice.org Calc.  Bindings to other languages and porting to Gnumeric, Matlab/Octave, S-PLUS/R, Mathematica, COM/CORBA/SOAP architectures, FpML, are under consideration. See the extensions page for details.

Appreciated by quantitative analysts and developers, it is intended for academics and practitioners alike, eventually promoting a stronger interaction between them. QuantLib offers tools that are useful both for practical implementation and for...&lt;img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/DA6zgUIL_o8" height="1" width="1"/&gt;</description><feedburner:origLink>http://www.moneyscience.com/pg/bookmarks/Admin/read/5540/quantlib-a-freeopensource-library-for-quantitative-finance</feedburner:origLink></item>
      <item>
         <title>Link Library: RQuantLib interface from GNU R to QuantLib</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/Y7ZPROy_DxM/rquantlib-interface-from-gnu-r-to-quantlib</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/bookmarks/Admin/read/5539/rquantlib-interface-from-gnu-r-to-quantlib</guid>
         <pubDate>Sat, 18 Jun 2011 18:22:27 +0000</pubDate>
      <description>RQuantLib started with support for (vanilla and exotic) equity   options. Standard European and American exercises are supported as well as   Binary and Barrier options. Asian options are supported with both geometric   and arithmetic compounding.&lt;img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/Y7ZPROy_DxM" height="1" width="1"/&gt;</description><feedburner:origLink>http://www.moneyscience.com/pg/bookmarks/Admin/read/5539/rquantlib-interface-from-gnu-r-to-quantlib</feedburner:origLink></item>
      <item>
         <title>Link Library: quantmod: Quantitative Financial Modelling Framework</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/QyNxw2Yj5jQ/quantmod-quantitative-financial-modelling-framework</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/bookmarks/Admin/read/5537/quantmod-quantitative-financial-modelling-framework</guid>
         <pubDate>Sat, 18 Jun 2011 18:14:51 +0000</pubDate>
      <description>The quantmod package for R is designed to assist the quantitative trader in the development, testing, and deployment of statistically based trading models.
What quantmod IS

A rapid prototyping environment, where quant traders can quickly and cleanly explore and build trading models.
What quantmod is NOT

A replacement for anything statistical. It has no 'new' modelling routines or analysis tool to speak of. It does now offer charting not currently available elsewhere in R, but most everything else is more of a wrapper to what you already know and love about the language and packages you currently use.

quantmod makes modelling easier by removing the repetitive workflow issues surrounding data management, modelling interfaces, and performance analysis.&lt;img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/QyNxw2Yj5jQ" height="1" width="1"/&gt;</description><feedburner:origLink>http://www.moneyscience.com/pg/bookmarks/Admin/read/5537/quantmod-quantitative-financial-modelling-framework</feedburner:origLink></item>
      <item>
         <title>Link Library: Python and R for quantitative finance</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/YntvhW3OSGg/python-and-r-for-quantitative-finance</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/bookmarks/Admin/read/5536/python-and-r-for-quantitative-finance</guid>
         <pubDate>Sat, 18 Jun 2011 18:11:36 +0000</pubDate>
      <description>An introduction to using Python and R for quantitative finance applications.

&amp;nbsp;


 Python and R for quantitative finance 
 View more presentations from Luca Sbardella&lt;img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/YntvhW3OSGg" height="1" width="1"/&gt;</description><feedburner:origLink>http://www.moneyscience.com/pg/bookmarks/Admin/read/5536/python-and-r-for-quantitative-finance</feedburner:origLink></item>
      <item>
         <title>Link Library: C++ Code Collected by Quantitative Finance Code Collector</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/vy08cTz79-Q/c-code-collected-by-quantitative-finance-code-collector</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/bookmarks/Admin/read/5533/c-code-collected-by-quantitative-finance-code-collector</guid>
         <pubDate>Sat, 18 Jun 2011 18:03:59 +0000</pubDate>
      <description>&lt;img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/vy08cTz79-Q" height="1" width="1"/&gt;</description><feedburner:origLink>http://www.moneyscience.com/pg/bookmarks/Admin/read/5533/c-code-collected-by-quantitative-finance-code-collector</feedburner:origLink></item>
      <item>
         <title>Link Library: Quantitative Finance Collector</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/_6XDIKxYTrQ/quantitative-finance-collector</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/bookmarks/Admin/read/5532/quantitative-finance-collector</guid>
         <pubDate>Sat, 18 Jun 2011 18:00:03 +0000</pubDate>
      <description>Quantitative Finance Collector is a blog on Quantitative finance codes, methods in mathematical finance focusing on derivative pricing, quantitative trading and quantitative risk management.&lt;img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/_6XDIKxYTrQ" height="1" width="1"/&gt;</description><feedburner:origLink>http://www.moneyscience.com/pg/bookmarks/Admin/read/5532/quantitative-finance-collector</feedburner:origLink></item>
      <item>
         <title>Link Library: The R Project for Statistical Computing on Linkedin</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/L0DAT5lsXLE/the-r-project-for-statistical-computing-on-linkedin</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/bookmarks/Admin/read/5530/the-r-project-for-statistical-computing-on-linkedin</guid>
         <pubDate>Sat, 18 Jun 2011 16:55:48 +0000</pubDate>
      <description>R is a language and environment for statistical computing and graphics.  It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&amp;amp;T, now Lucent Technologies) by John Chambers and colleagues.  R can be considered as a different implementation of S. There are some important differences, but much code written for S runs unaltered under R.&lt;img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/L0DAT5lsXLE" height="1" width="1"/&gt;</description><feedburner:origLink>http://www.moneyscience.com/pg/bookmarks/Admin/read/5530/the-r-project-for-statistical-computing-on-linkedin</feedburner:origLink></item>
      <item>
         <title>Link Library: QuantStart</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/n6D88mHXjI8/quantstart</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/bookmarks/Admin/read/5529/quantstart</guid>
         <pubDate>Sat, 18 Jun 2011 16:43:14 +0000</pubDate>
      <description>QuantStart was setup to help people learn quantitative finance (QF). QF is a broad area and      covers multiple topics such as Financial Engineering, Algorithmic Trading and Risk Management.

The articles will provide a general discussion of QF, including book reviews, industry changes     and new computational or modelling techniques. The technical tutorials section will concentrate on     teaching the mathematics and software development principles that accompany QF. In time, more     comprehensive guides will be written about specific areas. The latest QF events and current      jobs will be posted at QuantStart also.&lt;img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/n6D88mHXjI8" height="1" width="1"/&gt;</description><feedburner:origLink>http://www.moneyscience.com/pg/bookmarks/Admin/read/5529/quantstart</feedburner:origLink></item>
      <item>
         <title>Link Library: QuantTrader</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/xgvCUO-dJSU/quanttrader</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/bookmarks/Admin/read/5528/quanttrader</guid>
         <pubDate>Sat, 18 Jun 2011 16:27:59 +0000</pubDate>
      <description>A Blog about Quantitative trading, programming and more.


This blog is primarily for recording my thoughts, trading ideas and  research. This will include: trading, quantitative analysis,  programming, financial markets, trading strategies, optimizing and many  many more. I hope you will find something useful or inspiring and that  you will at least leave small message for me.

In short, I am a recent graduate with MSc. in Financial Mathematics  with HUGE passion for finance and trading. Currently I am developing my  strategies and testing them.&lt;img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/xgvCUO-dJSU" height="1" width="1"/&gt;</description><feedburner:origLink>http://www.moneyscience.com/pg/bookmarks/Admin/read/5528/quanttrader</feedburner:origLink></item>
      <item>
         <title>Link Library: Parallel Computing for Computational Finance Applications: A Case Study Parallelizing NAG with Zircon Software (pdf)</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/25i1UA1NALM/parallel-computing-for-computational-finance-applications-a-case-study-parallelizing-nag-with-zircon-software-pdf</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/bookmarks/Admin/read/5527/parallel-computing-for-computational-finance-applications-a-case-study-parallelizing-nag-with-zircon-software-pdf</guid>
         <pubDate>Sat, 18 Jun 2011 16:16:24 +0000</pubDate>
      <description>Abstract

Analysts, scientist, engineers, and multimedia professionals require massive processing power to analyze financial trends, create test simulations, model climate, compile code, render video, decode genomes and other complex tasks. Although these groups could use specialized super computers, the custom development time and the hardware costs are prohibitive. This paper describes how we applied the Zircon adaptive high-performance computing software platform and tools with the NAG C library to substantially improve the performance of a representative complex computational finance application via distribution and parallelization, thereby reducing the total computation time from several hours to several minutes.&lt;img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/25i1UA1NALM" height="1" width="1"/&gt;</description><feedburner:origLink>http://www.moneyscience.com/pg/bookmarks/Admin/read/5527/parallel-computing-for-computational-finance-applications-a-case-study-parallelizing-nag-with-zircon-software-pdf</feedburner:origLink></item>
      <item>
         <title>Link Library: NVIDIA Video: Adam and Jamie explain parallel processing on GPU's</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/0pxODhQ89ns/nvidia-video-adam-and-jamie-explain-parallel-processing-on-gpus</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/bookmarks/Admin/read/5518/nvidia-video-adam-and-jamie-explain-parallel-processing-on-gpus</guid>
         <pubDate>Sat, 18 Jun 2011 12:06:53 +0000</pubDate>
      <description>&lt;img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/0pxODhQ89ns" height="1" width="1"/&gt;</description><feedburner:origLink>http://www.moneyscience.com/pg/bookmarks/Admin/read/5518/nvidia-video-adam-and-jamie-explain-parallel-processing-on-gpus</feedburner:origLink></item>
      <item>
         <title>Link Library: Video - Efficient Heterogeneous Parallel Processing The Design of a Micropolygon Rendering Pipeline</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/weCMr1izEoA/video-efficient-heterogeneous-parallel-processing-the-design-of-a-micropolygon-rendering-pipeline</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/bookmarks/Admin/read/5517/video-efficient-heterogeneous-parallel-processing-the-design-of-a-micropolygon-rendering-pipeline</guid>
         <pubDate>Sat, 18 Jun 2011 12:03:07 +0000</pubDate>
      <description>Designing systems that are high-performance, power-efficient and easily  programmable by non-experts is important at all levels of computing.  Kayvon Fatahalian of Stanford University spoke at the University of  Washington about this topic. While many recent innovations in parallel  systems address this challenge in a general context, real-time graphics  systems have achieved similar goals through domain-influenced co-design  of algorithms, programming interfaces and heterogeneous, parallel  hardware.&lt;img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/weCMr1izEoA" height="1" width="1"/&gt;</description><feedburner:origLink>http://www.moneyscience.com/pg/bookmarks/Admin/read/5517/video-efficient-heterogeneous-parallel-processing-the-design-of-a-micropolygon-rendering-pipeline</feedburner:origLink></item>
      <item>
         <title>Link Library: Integrating GPU Computing into Mathematica Case Study: Longstaff-Schwartz Monte Carlo</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/7-_U-WGMaIg/integrating-gpu-computing-into-mathematica-case-study-longstaffschwartz-monte-carlo</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/bookmarks/Admin/read/5516/integrating-gpu-computing-into-mathematica-case-study-longstaffschwartz-monte-carlo</guid>
         <pubDate>Sat, 18 Jun 2011 11:58:34 +0000</pubDate>
      <description>Wolfram Research and NVIDIA partnered to host the Optimizing Financial Modeling seminar in January 2011.

Attendees  discovered why many of the world's leading financial institutions rely  on Mathematica as their computational tool of choice and learned how  using Mathematica in combination with NVIDIA's groundbreaking GPU  technology can give you the edge you need in an increasingly competitive  environment. 

In this video, NVIDIA's Senior CUDA Consultant John Ashley explains how CUDA programming is changing financial computation.&lt;img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/7-_U-WGMaIg" height="1" width="1"/&gt;</description><feedburner:origLink>http://www.moneyscience.com/pg/bookmarks/Admin/read/5516/integrating-gpu-computing-into-mathematica-case-study-longstaffschwartz-monte-carlo</feedburner:origLink></item>
      <item>
         <title>Link Library: O'Reilly Webcast: GPU Supercomputing for Finance</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/NANFM8Ntd10/oreilly-webcast-gpu-supercomputing-for-finance</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/bookmarks/Admin/read/5515/oreilly-webcast-gpu-supercomputing-for-finance</guid>
         <pubDate>Sat, 18 Jun 2011 11:09:40 +0000</pubDate>
      <description>Presented by Andrew Sheppard. GPU supercomputing in finance is about  doing things faster than ever before. Trading is already mostly  real-time, because it pays to be there first, ahead of the other guy.  And even those aspects of finance that are not yet real-time (currently  risk and compliance often lag behind trading), they are moving to  real-time as well. In fact, the whole world seems to be moving to  real-time; finance will simply get there first because the incentives  are so great.&lt;img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/NANFM8Ntd10" height="1" width="1"/&gt;</description><feedburner:origLink>http://www.moneyscience.com/pg/bookmarks/Admin/read/5515/oreilly-webcast-gpu-supercomputing-for-finance</feedburner:origLink></item>
      <item>
         <title>Link Library: Video - Two Vignettes in Computational Finance</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/yeCbnh402xg/video-two-vignettes-in-computational-finance</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/bookmarks/Admin/read/5514/video-two-vignettes-in-computational-finance</guid>
         <pubDate>Sat, 18 Jun 2011 11:04:51 +0000</pubDate>
      <description>Speaker: Michael Kearns
Host: Milan Vojnovic
Affiliation: University of Pennsylvania
Duration: 01:09:04
Date recorded: 24 March 2011


I will discuss two results in quantitative finance in which algorithmic arguments play a central role.

In  the first part, I will introduce the problem of order dispersion in  dark pools, a relatively new kind of equities exchange in which traders  seek to 'invisibly' trade large volumes at market prices. I will present  a provably efficient algorithm for near-optimal order placement in dark  pools. This algorithm is based on methods from reinforcement learning  and the Kaplan-Meier estimator from survival analysis.

In the  second part, I will compare two different models for the arriving limit  order prices in the standard continuous double auction mechanism of  electronic trading. In one model, traders are seen as having  'fundamental' views on price, while in the other they form prices only  relative to those of other traders. I will quantify a...&lt;img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/yeCbnh402xg" height="1" width="1"/&gt;</description><feedburner:origLink>http://www.moneyscience.com/pg/bookmarks/Admin/read/5514/video-two-vignettes-in-computational-finance</feedburner:origLink></item>
      <item>
         <title>Link Library: StocVol.com</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/1SK904gLSbA/stocvolcom</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/bookmarks/Admin/read/2128/stocvolcom</guid>
         <pubDate>Mon, 09 May 2011 19:28:00 +0000</pubDate>
      <description>A web resource created by Martin     Forde, a research fellow in the Dept of Mathematics   at Dublin City University. He previously worked as a visiting Assistant Professor   at the University of California at Santa Barbara, and before that as a quant   in interest rate derivatives at Commerzbank and in FX options at Dresdner and   HSBC. 

StocVol.com provides Mathematica notebooks to price put and call options under   stochastic volatility models using exact pricing methods or results on small-time,   large-time and tail asymptotics. 

The StocVol smile toolpack:

A toolpack of easy-to-use Mathematica notebooks to compute put/call option   prices and implied volatility for the following models:

 - SABR     model: small-time, large-time, and exact pricing for rho=0;
 - Modified   SABR model: large-time and exact pricing;
 - CEV model: small-time,   large-time and exact pricing;
 - Heston   model: small-time, large-time large-strike and large-time fixed-strike   regimes, and tail...&lt;img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/1SK904gLSbA" height="1" width="1"/&gt;</description><feedburner:origLink>http://www.moneyscience.com/pg/bookmarks/Admin/read/2128/stocvolcom</feedburner:origLink></item>
      <item>
         <title>Link Library: GPGPUs in computational finance: Massive parallel computing for American style options</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/iZDaBBIrnxk/gpgpus-in-computational-finance-massive-parallel-computing-for-american-style-options</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/bookmarks/Admin/read/2119/gpgpus-in-computational-finance-massive-parallel-computing-for-american-style-options</guid>
         <pubDate>Sat, 07 May 2011 11:22:16 +0000</pubDate>
      <description>Gilles Pages
PMA - Laboratoire de Probabilites et Modeles Aleatoires

Benedikt Wilbertz
PMA - Laboratoire de Probabilites et Modeles Aleatoires

Abstract

The pricing of American style and multiple exercise options is a very challenging problem in mathematical finance. One usually employs a Least-Square Monte Carlo approach (Longstaff-Schwartz method) for the evaluation of conditional expectations which arise in the Backward Dynamic Programming principle for such optimal stopping or stochastic control problems in a Markovian framework. Unfortunately, these Least-Square Monte Carlo approaches are rather slow and allow, due to the dependency structure in the Backward Dynamic Programming principle, no parallel implementation; whether on the Monte Carlo levelnor on the time layer level of this problem.

We therefore present in this paper a quantization method for the computation of the conditional expectations, that allows a straightforward parallelization on the Monte Carlo level....&lt;img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/iZDaBBIrnxk" height="1" width="1"/&gt;</description><feedburner:origLink>http://www.moneyscience.com/pg/bookmarks/Admin/read/2119/gpgpus-in-computational-finance-massive-parallel-computing-for-american-style-options</feedburner:origLink></item>
      <item>
         <title>Link Library: Accelerated fluctuation analysis by graphic cards and complex pattern formation in financial markets</title>
         <link>http://feedproxy.google.com/~r/FinancialTechnologyFocus/~3/Y2074RbYRBs/accelerated-fluctuation-analysis-by-graphic-cards-and-complex-pattern-formation-in-financial-markets</link>
         
         <guid isPermaLink="false">http://www.moneyscience.com/pg/bookmarks/Admin/read/1230/accelerated-fluctuation-analysis-by-graphic-cards-and-complex-pattern-formation-in-financial-markets</guid>
         <pubDate>Mon, 25 Apr 2011 13:26:59 +0000</pubDate>
      <description>Tobias Preis, Peter Virnau1, Wolfgang Paul and Johannes J Schneider

Abstract

The compute unified device architecture is an almost conventional programming approach for managing computations on a graphics processing unit (GPU) as a data-parallel computing device. With a maximum number of 240 cores in combination with a high memory bandwidth, a recent GPU offers resources for computational physics. We apply this technology to methods of fluctuation analysis, which includes determination of the scaling behavior of a stochastic process and the equilibrium autocorrelation function. Additionally, the recently introduced pattern formation conformity (Preis T et al 2008 Europhys. Lett. 82 68005), which quantifies pattern-based complex short-time correlations of a time series, is calculated on a GPU and analyzed in detail. Results are obtained up to 84 times faster than on a current central processing unit core. When we apply this method to high-frequency time series of the German BUND...&lt;img src="http://feeds.feedburner.com/~r/FinancialTechnologyFocus/~4/Y2074RbYRBs" height="1" width="1"/&gt;</description><feedburner:origLink>http://www.moneyscience.com/pg/bookmarks/Admin/read/1230/accelerated-fluctuation-analysis-by-graphic-cards-and-complex-pattern-formation-in-financial-markets</feedburner:origLink></item>
   </channel>
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