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Author : Andrew Pole Publisher : John Wiley & Sons Page : 230 pages File Size : 44,7 Mb Release : 2011-07-07 Category : Business & Economics ISBN : 9781118160732
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.
Quantitative Portfolio Management by Michael Isichenko Pdf
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.
Intermarket Trading Strategies by Markos Katsanos Pdf
This book shows traders how to use Intermarket Analysis to forecast future equity, index and commodity price movements. It introduces custom indicators and Intermarket based systems using basic mathematical and statistical principles to help traders develop and design Intermarket trading systems appropriate for long term, intermediate, short term and day trading. The metastock code for all systems is included and the testing method is described thoroughly. All systems are back tested using at least 200 bars of historical data and compared using various profitability and drawdown metrics.
Author : Richard C. Grinold,Ronald N. Kahn Publisher : McGraw Hill Professional Page : 596 pages File Size : 48,7 Mb Release : 1999-11-16 Category : Business & Economics ISBN : 9780071376952
Active Portfolio Management: A Quantitative Approach for Producing Superior Returns and Selecting Superior Returns and Controlling Risk by Richard C. Grinold,Ronald N. Kahn Pdf
"This new edition of Active Portfolio Management continues the standard of excellence established in the first edition, with new and clear insights to help investment professionals." -William E. Jacques, Partner and Chief Investment Officer, Martingale Asset Management. "Active Portfolio Management offers investors an opportunity to better understand the balance between manager skill and portfolio risk. Both fundamental and quantitative investment managers will benefit from studying this updated edition by Grinold and Kahn." -Scott Stewart, Portfolio Manager, Fidelity Select Equity ® Discipline Co-Manager, Fidelity Freedom ® Funds. "This Second edition will not remain on the shelf, but will be continually referenced by both novice and expert. There is a substantial expansion in both depth and breadth on the original. It clearly and concisely explains all aspects of the foundations and the latest thinking in active portfolio management." -Eric N. Remole, Managing Director, Head of Global Structured Equity, Credit Suisse Asset Management. Mathematically rigorous and meticulously organized, Active Portfolio Management broke new ground when it first became available to investment managers in 1994. By outlining an innovative process to uncover raw signals of asset returns, develop them into refined forecasts, then use those forecasts to construct portfolios of exceptional return and minimal risk, i.e., portfolios that consistently beat the market, this hallmark book helped thousands of investment managers. Active Portfolio Management, Second Edition, now sets the bar even higher. Like its predecessor, this volume details how to apply economics, econometrics, and operations research to solving practical investment problems, and uncovering superior profit opportunities. It outlines an active management framework that begins with a benchmark portfolio, then defines exceptional returns as they relate to that benchmark. Beyond the comprehensive treatment of the active management process covered previously, this new edition expands to cover asset allocation, long/short investing, information horizons, and other topics relevant today. It revisits a number of discussions from the first edition, shedding new light on some of today's most pressing issues, including risk, dispersion, market impact, and performance analysis, while providing empirical evidence where appropriate. The result is an updated, comprehensive set of strategic concepts and rules of thumb for guiding the process of-and increasing the profits from-active investment management.
Making Money with statistical Arbitrage by Jan Becker Pdf
Bachelor Thesis from the year 2010 in the subject Business economics - Investment and Finance, 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.
In My Life as a Quant, Emanuel Derman relives his exciting journey as one of the first high-energy particle physicists to migrate to Wall Street. Page by page, Derman details his adventures in this field—analyzing the incompatible personas of traders and quants, and discussing the dissimilar nature of knowledge in physics and finance. Throughout this tale, he also reflects on the appropriate way to apply the refined methods of physics to the hurly-burly world of markets.
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.
An accessible guide to the pairs trading technique A leading arbitrage expert gives traders real tools for using pairs trading, including customizable Excel worksheets available on the companion website. Mark Whistler (Denver, CO) is the key developer of pairstrader.com as well as a licensed securities trader and broker and leading arbitrage expert.
Making Money with Statistical Arbitrage: Generating Alpha in Sideway Markets with this Option Strategy by Jan Becker Pdf
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 : M. Anthony Wong Publisher : John Wiley & Sons Page : 288 pages File Size : 51,9 Mb Release : 1993-08-30 Category : Business & Economics ISBN : 0471555525
An exposition to the world of relative-value trading in the fixed-income markets written by a leading-edge thinker and scientific analyst of global financial markets. Using concrete examples, he details profit opportunities--treasury bills, bonds, notes, interest-rate futures and options--explaining how to obtain virtually risk-free rewards if the proper knowledge and skills are applied. Discusses the critical success factors of relative-value trading and highlights the important role of technology, capital requirements and considerations in order to set up a fixed-income arbitrage system.
An accessible guide to the pairs trading technique A leading arbitrage expert gives traders real tools for using pairs trading, including customizable Excel worksheets available on the companion website. Mark Whistler (Denver, CO) is the key developer of pairstrader.com as well as a licensed securities trader and broker and leading arbitrage expert.
The Handbook of Pairs Trading by Douglas S. Ehrman Pdf
Learn both the theory and practice of pairs trading, why it is consistently profitable, and how you can apply the strategies in your own trading with this valuable guide. Author Douglas Ehrman covers pairs trading involving stocks, options on stocks, and futures contracts, and explains how this type of trading allows you to profit from the changing price relationship of securities. In addition to a comprehensive discussion of the theories involved, he also includes practical examples that will to help you put what you've learned into practice. Douglas S. Ehrman is a hedge fund manager and a leading authority on pairs trading. He is one of the founders and the Chief Executive Officer of AlphAmerica Asset Management LLC in Chicago. He also served as the chief executive officer of AlphAmerica Financial, Inc., the company that operated PairsTrading.com prior to its merger with PairTrader.com.
Secrets of the Trading Pros by H. Jack Bouroudjian Pdf
Praise for Secrets of the Trading Pros "In Secrets of the Trading Pros, Jack Bouroudjian shares the unique insight of a market veteran who has experienced all aspects of the marketplace-from exchange and industry leader to brokerage executive and market trader. The reader feels that Jack is sitting next to you telling his and the market's story, offering the view of an accomplished market participant who is passionate about his work. Jack's work is relevant reading, whether one is an investment professional or merely curious about how economic forces are displayed in the markets of today." —Thomas A. Kloet, Senior Executive Vice President and Chief Operating Officer, Fimat USA, LLC "Jack Bouroudjian is an accomplished expert in the art of trading equity futures. While no one alive knows all the secrets about trading, Jack has put together a formidable set of highly significant elements that are clearly important for success in trading." —Leo Melamed, Chairman Emeritus, Chicago Mercantile Exchange