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Computational finance is a branch of applied computer science that deals with problems of practical interest in finance.〔Rüdiger U. Seydel, ''Tools for Computational Finance'', Springer; 3rd edition (May 11, 2006) 978-3540279235〕 Some slightly different definitions are the study of data and algorithms currently used in finance〔(【引用サイトリンク】title= Computational Finance and Research Laboratory )〕 and the mathematics of computer programs that realize financial models or systems.〔Cornelis A. Los, ''Computational Finance'' World Scientific Pub Co Inc (December 2000) 978-9810244972〕 Computational finance emphasizes practical numerical methods rather than mathematical proofs and focuses on techniques that apply directly to economic analyses.〔Mario J. Miranda and Paul L. Fackler, ''Applied Computational Economics and Finance'', The MIT Press (September 16, 2002) 978-0262134200〕 It is an interdisciplinary field between mathematical finance and numerical methods.〔Omur Ugur, ''Introduction to Computational Finance'', Imperial College Press (December 22, 2008) 978-1848161924〕 Two major areas are efficient and accurate computation of fair values of financial securities and the modeling of stochastic price series.〔Jin-Chuan Duan, Wolfgang Karl Härdle and James E. Gentle (editors), ''Handbook of Computational Finance'', Springer (October 25, 2011) 978-3642172533〕 ==History== The birth of computational finance as a discipline can be traced to Harry Markowitz in the early 1950s. Markowitz conceived of the portfolio selection problem as an exercise in mean-variance optimization. This required more computer power than was available at the time, so he worked on useful algorithms for approximate solutions.〔Harry M. Markowitz, ''Portfolio Selection: Efficient Diversification of Investments'', Wiley, second edition (September 3, 1991) 978-1557861085〕 Mathematical finance began with the same insight, but diverged by making simplifying assumptions to express relations in simple closed forms that did not require sophisticated computer science to evaluate.〔Justin Fox, ''The Myth of the Rational Market: A History of Risk, Reward, and Delusion on Wall Street'', HarperBusiness (June 9, 2009) 978-0060598990〕 In the 1960s, hedge fund managers such as Ed Thorp〔William Poundstone, ''Fortune's Formula: The Untold Story of the Scientific Betting System That Beat the Casinos and Wall Street'', Hill and Wang (September 19, 2006) 978-0809045990〕 and Michael Goodkin (working with Harry Markowitz, Paul Samuelson and Robert C. Merton)〔Michael Goodkin, ''The Wrong Answer Faster: The Inside Story of Making the Machine that Trades Trillions'', Wiley, (February 21, 2012) 978-1118133408 〕 pioneered the use of computers in arbitrage trading. In academics, sophisticated computer processing was needed by researchers such as Eugene Fama in order to analyze large amounts of financial data in support of the efficient-market hypothesis.〔 During the 1970s, the main focus of computational finance shifted to options pricing and analyzing mortgage securitizations.〔Aaron Brown, ''Red-Blooded Risk: The Secret History of Wall Street'', Wiley (October 11, 2011) 978-1118043868〕 In the late 1970s and early 1980s, a group of young quantitative practitioners who became known as “rocket scientists” arrived on Wall Street and brought along personal computers. This led to an explosion of both the amount and variety of computational finance applications.〔John F. Ehlers, ''Rocket Science for Traders'', Wiley (July 20, 2001) 978-0471405672〕 Many of the new techniques came from signal processing and speech recognition rather than traditional fields of computational economics like optimization and time series analysis.〔 By the end of the 1980s, the winding down of the Cold War brought a large group of displaced physicists and applied mathematicians, many from behind the Iron Curtain, into finance. These people become known as “financial engineers” (“quant” is a term that includes both rocket scientists and financial engineers, as well as quantitative portfolio managers).〔Aaron Brown, ''The Poker Face of Wall Street'', Wiley (March 31, 2006) 978-0470127315〕 This led to a second major extension of the range of computational methods used in finance, also a move away from personal computers to mainframes and supercomputers.〔 Around this time computational finance became recognized as a distinct academic subfield. The first degree program in computational finance was offered by Carnegie Mellon University in 1994.〔(【引用サイトリンク】title= Center for Computational Finance )〕 Over the last 20 years, the field of computational finance has expanded into virtually every area of finance, and the demand for practitioners has grown dramatically.〔 Moreover, many specialized companies have grown up to supply computational finance software and services.〔 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Computational finance」の詳細全文を読む スポンサード リンク
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