D. E. Shaw & Co. - Wikipedia, the free encyclopedia
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D. E. Shaw & Co. is a New York-based hedge fund, private equity and technology development firm whose activities center on various aspects of the intersection between technology and finance. Based in...
en.wikipedia.org/wiki/D._E._Shaw_&_Co.
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statistical arbitrage - definition of statistical arbitrage - An attempt to profit from pricing inefficiencies that are identified through the use of mathematical models. Statistical arbitrage attempts to profit... ... statistical arbitrage is ...
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www.investorwords.com/5803/statistical_arbitrage.html
www.investorwords.com/5803/statistical_arbitrage.html
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Then we concentrate more on the statistical arbitrage strategy, assumptions, which underlie the strategy and give some examples of statistical arbitrage trading models. The fourth part is the empirical part of the thesis.
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www-stat.wharton.upenn.edu/~steele/Courses/434/434Conte...
www-stat.wharton.upenn.edu/~steele/Courses/434/434Context/Co-integration/BehavioralStatArb.pdf
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Problem is, of course, that when quants pile into the high-frequency, statistical arbitrage, quasi-market making space, it becomes very crowded very quickly. This style of trading is far less scalable than more systematic, longer-term strategies, and returns get crushed much faster as new capital enters.
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www.informationarbitrage.com/2008/10/some-observations-...
www.informationarbitrage.com/2008/10/some-observations-on-quantitative-trading.html
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Who We Are ... What We Do ... Overview; Founder; Staff; News and Press;
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BJORK Arbitrage Theory in Continuous Time (Table of Contents); See also a new Second Edition (2004) BJORK: Arbitrage Theory in Continuous ... POLE: Statistical Arbitrage: Algorithmic Trading Insights and Techniques ... WHISTLER: Trading Pairs + CD: Capturing Profits and Hedging Risk with Statistical Arbitrage Strategies...
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Statistical Arbitrage Stock Trading using; Time Delay Neural Networks; Chris Pennock; Final Project, Machine Learning, Fall 2004; Instructor: Yann Le Cun; Introduction: Can a TDNN be used to profit from the stock market?
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www.cs.nyu.edu/~ccp252/media/Statistical_Arbitrage_TDNN...
www.cs.nyu.edu/~ccp252/media/Statistical_Arbitrage_TDNN.pdf
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In this paper we describe a set of statistical arbitrage models which exploit relative value relationships amongst the constituents of the FTSE 100. Rather than estimating cointegration vectors of high dimensionality, a stepwise regression approach is used to identify the most appropriate subspace for the stochastic ...
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www.scribd.com/doc/265652/Statistical-Arbitrage-Models-...
www.scribd.com/doc/265652/Statistical-Arbitrage-Models-of-FTSE-100
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