Author: Seoungbyung Park
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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Book Description

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: Marco Avellaneda
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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Book Description
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: Jan Becker
Publisher:
ISBN: 9783656201991
Category :
Languages : en
Pages : 62

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Book Description
Bachelor Thesis from the year 2010 in the subject Business economics - Investment and Finance, grade: -, University of Frankfurt (Main), language: English, abstract: In the following bachelor's thesis I am going to present a short survey of the hedge fund industry, its regulation and the existent hedge fund strategies. Especially statistical arbitrage 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 so often used in daily option trading, derivate pricing and risk management. Because 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 provide significant returns to the investment. As market efficiency hypothesis states the impossibility of arbitrage opportunities over the long run, on the other hand market anomalies significantly outstand. Connecting both elements creates a profitable trading system. The combination of both approaches delivers a sensible hedge fund concept. The out-ofsample 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: 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: 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: Erik Larsson
Publisher:
ISBN:
Category :
Languages : en
Pages : 62

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Book Description
The momentum effect is a systematic inefficiency in the market that can be exploited by a trading strategy. This conclusion is supported by theoretical and empirical evidence. But the academic research that tries to quantify the performance of this kind of strategy often relies on a methodology that is too simplistic. The question arises what performance a trader realistically could achieve in relation to the results presented in academic journals. To answer this, we have written a computer program to run simulations with the added realism of transaction costs and more advanced trading rules based on a wider array of data than classic methodology allows. This has been done on Swedish stocks between 1995 and 2001. We then compare the simulation based on our own advanced model with a simulation that emulates a simplistic methodology.It is found that the negative impact on return of including transaction costs is outweighed by the lower risk attributed to our more advanced trading rules, as indicated by e.g. Sharpe and standard measures of risk. We can thus conclude that the momentum effect might be even more attractive as a basis for a trading strategy than have been suggested in prior academic research.As an academic paper, we think that the methodology (our simulation platform) used to obtain the conclusion in our thesis is more important than the conclusion itself. It is evident that a good evaluation of any trading strategy requires more realistic simulations than is commonplace in academia today.

Author: Yacine Aït-Sahalia
Publisher: Princeton University Press
ISBN: 0691161437
Category : Business & Economics
Languages : en
Pages : 683

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Book Description
A comprehensive introduction to the statistical and econometric methods for analyzing high-frequency financial data High-frequency trading is an algorithm-based computerized trading practice that allows firms to trade stocks in milliseconds. Over the last fifteen years, the use of statistical and econometric methods for analyzing high-frequency financial data has grown exponentially. This growth has been driven by the increasing availability of such data, the technological advancements that make high-frequency trading strategies possible, and the need of practitioners to analyze these data. This comprehensive book introduces readers to these emerging methods and tools of analysis. Yacine Aït-Sahalia and Jean Jacod cover the mathematical foundations of stochastic processes, describe the primary characteristics of high-frequency financial data, and present the asymptotic concepts that their analysis relies on. Aït-Sahalia and Jacod also deal with estimation of the volatility portion of the model, including methods that are robust to market microstructure noise, and address estimation and testing questions involving the jump part of the model. As they demonstrate, the practical importance and relevance of jumps in financial data are universally recognized, but only recently have econometric methods become available to rigorously analyze jump processes. Aït-Sahalia and Jacod approach high-frequency econometrics with a distinct focus on the financial side of matters while maintaining technical rigor, which makes this book invaluable to researchers and practitioners alike.

Author: Emmanuel O. Kumah
Publisher: International Monetary Fund
ISBN: 1451873891
Category : Business & Economics
Languages : en
Pages : 75

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Book Description
This paper analyzes the seven valuation methods for unlisted direct investment equity included in the recently adopted IMF Balance of Payments and International Investment Position Manual, Sixth Edition (BPM6). Based on publicly available Danish data, we test the three methods that are generally applicable and find that the choice of valuation method and estimation technique can have a highly significant impact on the international investment position, pointing to the need for further harmonization. The results show that the price-to-book value method generates more robust market value estimates than the price-to-earnings method. This finding suggests that the valuation basis for the forthcoming Coordinated Direct Investment Survey - own funds at book value -will provide useful information for compiling the international investment position.

Author: Andrew Ang
Publisher: Now Publishers Inc
ISBN: 1601984685
Category : Business & Economics
Languages : en
Pages : 99

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Book Description
The Efficient Market Hypothesis (EMH) asserts that, at all times, the price of a security reflects all available information about its fundamental value. The implication of the EMH for investors is that, to the extent that speculative trading is costly, speculation must be a loser's game. Hence, under the EMH, a passive strategy is bound eventually to beat a strategy that uses active management, where active management is characterized as trading that seeks to exploit mispriced assets relative to a risk-adjusted benchmark. The EMH has been refined over the past several decades to reflect the realism of the marketplace, including costly information, transactions costs, financing, agency costs, and other real-world frictions. The most recent expressions of the EMH thus allow a role for arbitrageurs in the market who may profit from their comparative advantages. These advantages may include specialized knowledge, lower trading costs, low management fees or agency costs, and a financing structure that allows the arbitrageur to undertake trades with long verification periods. The actions of these arbitrageurs cause liquid securities markets to be generally fairly efficient with respect to information, despite some notable anomalies.