9/23/2011
Statistical Arbitrage: Algorithmic Trading Insights and Techniques (Wiley Finance) Review
Average Reviews:
(More customer reviews)Like some other people, I got attracted by the title and ordered it even before it was released. Indeed, unlike the earlier publications such as Pairs Trading: Quantitative Methods and Analysis (Wiley Finance) and Applied Quantitative Methods for Trading and Investment (The Wiley Finance Series) , this book is probably the very first one dedicated entirely to Statistical Arbitrage.
Regrettably, its quantitative content is well below that of abovementioned books. As the author himself put it, "... nearly all temptation to compose a technical treatise has been resisted." As a result, all the technical stuff I learned from it can be summarized as follows: 1) the traded spread is very often non-stationary, but can be treated as locally stationary and 2) after 2004, the spread began exhibiting much sharper reversions to the mean ("catastrophe process") which complicated the trading.
None of these ideas, however, are presented in more or less strict quantitative form. I hoped that the bibliography would provide clues as to the particular models employed, but to no avail: the list of sources is quite short (22 items) with the majority of quantitative sources being obsolete (over ten years old).
All in all, this book is very much like a popular article and is not worth its price from a quant's perspective.
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While statistical arbitrage has faced some tough times?as markets experienced dramatic changes in dynamics beginning in 2000?new developments in algorithmic trading have allowed it to rise from the ashes of that fire. Based on the results of author Andrew Pole?s own research and experience running a statistical arbitrage hedge fund for eight years?in partnership with a group whose own history stretches back to the dawn of what was first called pairs trading?this unique guide provides detailed insights into the nuances of a proven investment strategy. Filled with in-depth insights and expert advice, Statistical Arbitrage contains comprehensive analysis that will appeal to both investors looking for an overview of this discipline, as well as quants looking for critical insights into modeling, risk management, and implementation of the strategy.
Labels:
hedge funds,
high frequency finance,
not worth reading,
quant career,
quant finance,
stock market,
trading system,
volatility
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