Factor Based Statistical Arbitrage in the U.S. Equity Market with a Model Breakdown Detection Process PDF Download
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Author: Seoungbyung Park
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Author: Seoungbyung Park
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Author: Marco Avellaneda
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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We study model-driven statistical arbitrage strategies in U.S. equities. Trading signals are generated in two ways: using Principal Component Analysis and using sector ETFs. In both cases, we consider the residuals, or idiosyncratic components of stock returns, and model them as a mean-reverting process, which leads naturally to "contrarian'' trading signals. The main contribution of the paper is the back-testing and comparison of market-neutral PCA- and ETF- based strategies over the broad universe of U.S. equities. Back-testing shows that, after accounting for transaction costs, PCA-based strategies have an average annual Sharpe ratio of 1.44 over the period 1997 to 2007, with a much stronger performances prior to 2003: during 2003-2007, the average Sharpe ratio of PCA-based strategies was only 0.9. On the other hand, strategies based on ETFs achieved a Sharpe ratio of 1.1 from 1997 to 2007, but experience a similar degradation of performance after 2002. We introduce a method to take into account daily trading volume information in the signals (using "trading time'' as opposed to calendar time), and observe significant improvements in performance in the case of ETF-based signals. ETF strategies which use volume information achieve a Sharpe ratio of 1.51 from 2003 to 2007. The paper also relates the performance of mean-reversion statistical arbitrage strategies with the stock market cycle. In particular, we study in some detail the performance of the strategies during the liquidity crisis of the summer of 2007. We obtain results which are consistent with Khandani and Lo (2007) and validate their "unwinding'' theory for the quant fund drawndown of August 2007.
Author: Andrew Pole
Publisher: John Wiley & Sons
ISBN: 1118160738
Category : Business & Economics
Languages : en
Pages : 230
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Book Description
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.
Author: Ganapathy Vidyamurthy
Publisher: John Wiley & Sons
ISBN: 111804570X
Category : Business & Economics
Languages : en
Pages : 295
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Book Description
The first in-depth analysis of pairs trading Pairs trading is a market-neutral strategy in its most simple form. The strategy involves being long (or bullish) one asset and short (or bearish) another. If properly performed, the investor will gain if the market rises or falls. Pairs Trading reveals the secrets of this rigorous quantitative analysis program to provide individuals and investment houses with the tools they need to successfully implement and profit from this proven trading methodology. Pairs Trading contains specific and tested formulas for identifying and investing in pairs, and answers important questions such as what ratio should be used to construct the pairs properly. Ganapathy Vidyamurthy (Stamford, CT) is currently a quantitative software analyst and developer at a major New York City hedge fund.
Author: Tim Leung (Professor of industrial engineering)
Publisher: World Scientific
ISBN: 9814725927
Category : Business & Economics
Languages : en
Pages : 221
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Book Description
"Optimal Mean Reversion Trading: Mathematical Analysis and Practical Applications provides a systematic study to the practical problem of optimal trading in the presence of mean-reverting price dynamics. It is self-contained and organized in its presentation, and provides rigorous mathematical analysis as well as computational methods for trading ETFs, options, futures on commodities or volatility indices, and credit risk derivatives. This book offers a unique financial engineering approach that combines novel analytical methodologies and applications to a wide array of real-world examples. It extracts the mathematical problems from various trading approaches and scenarios, but also addresses the practical aspects of trading problems, such as model estimation, risk premium, risk constraints, and transaction costs. The explanations in the book are detailed enough to capture the interest of the curious student or researcher, and complete enough to give the necessary background material for further exploration into the subject and related literature. This book will be a useful tool for anyone interested in financial engineering, particularly algorithmic trading and commodity trading, and would like to understand the mathematically optimal strategies in different market environments."--
Author: Michael Isichenko
Publisher: John Wiley & Sons
ISBN: 1119821215
Category : Business & Economics
Languages : en
Pages : 306
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Book Description
Discover foundational and advanced techniques in quantitative equity trading from a veteran insider In Quantitative Portfolio Management: The Art and Science of Statistical Arbitrage, distinguished physicist-turned-quant Dr. Michael Isichenko delivers a systematic review of the quantitative trading of equities, or statistical arbitrage. The book teaches you how to source financial data, learn patterns of asset returns from historical data, generate and combine multiple forecasts, manage risk, build a stock portfolio optimized for risk and trading costs, and execute trades. In this important book, you’ll discover: Machine learning methods of forecasting stock returns in efficient financial markets How to combine multiple forecasts into a single model by using secondary machine learning, dimensionality reduction, and other methods Ways of avoiding the pitfalls of overfitting and the curse of dimensionality, including topics of active research such as “benign overfitting” in machine learning The theoretical and practical aspects of portfolio construction, including multi-factor risk models, multi-period trading costs, and optimal leverage Perfect for investment professionals, like quantitative traders and portfolio managers, Quantitative Portfolio Management will also earn a place in the libraries of data scientists and students in a variety of statistical and quantitative disciplines. It is an indispensable guide for anyone who hopes to improve their understanding of how to apply data science, machine learning, and optimization to the stock market.
Author: Jan Becker
Publisher: Anchor Academic Publishing (aap_verlag)
ISBN: 3954895137
Category : Political Science
Languages : en
Pages : 51
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Book Description
In the following study, I am going to present a short survey of the hedge fund industry, its regulation and the existent hedge fund strategies. Statistical arbitrage in particular is explained in further detail, and major performance measurement ratios are presented. In the second part, I am going to introduce a semi-variance model for statistical arbitrage. The model is compared to the standard Garch model, which is often used in daily option trading, derivate pricing and risk management. As investment returns are not equally distributed over time, sources for statistical arbitrage occur. The semi-variance model takes skewness into account and provides higher returns at lower volatility than the Garch model. The concept is aimed to be a synopsis of mean reversion and chart pattern detection. The computer model is generated with respect to Brownian motion and technical analysis and provides significant returns to the investment. While the market efficiency hypothesis states the impossibility of long-term arbitrage opportunities, market anomalies outstand significantly. Connecting both elements creates a profitable trading system. The combination of both approaches delivers a sensible hedge fund concept. The out-of-sample backtest verifies out-performance and implies the need for further research in the area of higher moment CAPM and additional market timing strategies as sources of statistical arbitrage.
Author: David A. Bowen
Publisher:
ISBN:
Category : Stock exchanges
Languages : en
Pages : 281
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Book Description
If equity returns contain predictable components, then there could be opportunities for investors to capitalize using a number of strategies based on past price history. This study tests UK equity returns from 1965-2007 for signs of serial correlation and predictability. Returns are tested for signs of predictability using the Lo and MacKinlay (1988) variance ratio test and the Chow and Denning (1993) multiple variance ratio tests. Overall, the results show strong serial correlation in the returns, as well as signs of predictability based on statistically significant variance ratio test statistics. With UK equity data displaying signs of predictability, a strategy based on past price movements is simulated. Pairs trading in the UK equity market is examined at the daily pricing frequency as well as the intra-day price frequency. For the daily sample, the performance of pairs trading in the UK equity market is examined using a sample of FTSE All-Share constituent stocks from 1979 to 2008. The strategy produces an average annual return of 8.88%, and outperforms the market both in returns and risk levels over the full sample period. The returns produce low exposure to known equity risk factors. For the intra-day sample, the characteristics of high frequency pairs trading are examined using a sample of FTSE100 constituent stocks for the period January to December 2007. Results indicate the excess returns of the strategy are extremely sensitive both to transaction costs and speed of execution. When a moderate level of transaction costs (10 basis points) is specified, the excess returns of the strategy are reduced by more than 50%. Likewise, when a wait one period restriction is implemented on execution, the returns of the strategy are eliminated. A majority of the returns are reported in the first hour of the trading period.
Author: Jean-Philippe Bouchaud
Publisher: Cambridge University Press
ISBN: 1108639062
Category : Science
Languages : en
Pages : 464
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Book Description
The widespread availability of high-quality, high-frequency data has revolutionised the study of financial markets. By describing not only asset prices, but also market participants' actions and interactions, this wealth of information offers a new window into the inner workings of the financial ecosystem. In this original text, the authors discuss empirical facts of financial markets and introduce a wide range of models, from the micro-scale mechanics of individual order arrivals to the emergent, macro-scale issues of market stability. Throughout this journey, data is king. All discussions are firmly rooted in the empirical behaviour of real stocks, and all models are calibrated and evaluated using recent data from Nasdaq. By confronting theory with empirical facts, this book for practitioners, researchers and advanced students provides a fresh, new, and often surprising perspective on topics as diverse as optimal trading, price impact, the fragile nature of liquidity, and even the reasons why people trade at all.
Author: Jozef Rudy
Publisher:
ISBN:
Category :
Languages : en
Pages :
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