The Handbook of Pairs Trading PDF Download
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Author: Douglas S. Ehrman
Publisher: John Wiley & Sons
ISBN: 0471774049
Category : Business & Economics
Languages : en
Pages : 271
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Book Description
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.
Author: Douglas S. Ehrman
Publisher: John Wiley & Sons
ISBN: 0471774049
Category : Business & Economics
Languages : en
Pages : 271
Get Book Here
Book Description
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.
Author: Simão Moraes Sarmento
Publisher: Springer Nature
ISBN: 3030472515
Category : Technology & Engineering
Languages : en
Pages : 108
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Book Description
This book investigates the application of promising machine learning techniques to address two problems: (i) how to find profitable pairs while constraining the search space and (ii) how to avoid long decline periods due to prolonged divergent pairs. It also proposes the integration of an unsupervised learning algorithm, OPTICS, to handle problem (i), and demonstrates that the suggested technique can outperform the common pairs search methods, achieving an average portfolio Sharpe ratio of 3.79, in comparison to 3.58 and 2.59 obtained using standard approaches. For problem (ii), the authors introduce a forecasting-based trading model capable of reducing the periods of portfolio decline by 75%. However, this comes at the expense of decreasing overall profitability. The authors also test the proposed strategy using an ARMA model, an LSTM and an LSTM encoder-decoder.
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: 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: Malcolm Pryor
Publisher:
ISBN: 9781897597934
Category : Electronic trading of securities
Languages : en
Pages : 0
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Book Description
Issues covered here include trade planning, record keeping, performance reviews, more on risk management, psychology and continual development. Spread betting is great fun, and almost anyone can enjoy the odd bet now and again. But if you want to make money from spread betting, then it must be taken seriously and a disciplined and tactical approach is required. This book is the essential guide to get to the top of the mountain.
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: Álvaro Cartea
Publisher: Cambridge University Press
ISBN: 1316453650
Category : Mathematics
Languages : en
Pages : 360
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Book Description
The design of trading algorithms requires sophisticated mathematical models backed up by reliable data. In this textbook, the authors develop models for algorithmic trading in contexts such as executing large orders, market making, targeting VWAP and other schedules, trading pairs or collection of assets, and executing in dark pools. These models are grounded on how the exchanges work, whether the algorithm is trading with better informed traders (adverse selection), and the type of information available to market participants at both ultra-high and low frequency. Algorithmic and High-Frequency Trading is the first book that combines sophisticated mathematical modelling, empirical facts and financial economics, taking the reader from basic ideas to cutting-edge research and practice. If you need to understand how modern electronic markets operate, what information provides a trading edge, and how other market participants may affect the profitability of the algorithms, then this is the book for you.
Author: Don Charles
Publisher: Cambridge Scholars Publishing
ISBN: 1527521621
Category : Business & Economics
Languages : en
Pages : 133
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Book Description
Many individuals enter financial markets with the objective of earning a profit from capitalizing on price fluctuations. However, many of these new traders lose their money in attempting to do so. The reason for this is often because these new traders lack any fundamental understanding of financial markets, they cannot interpret any data, and they have no strategy for trading. Trading in markets is really about deploying strategies and managing risks. Indeed, successful traders are those who have strategies which they have proved to be consistent in granting them more financial gains than financial losses. The purpose of this book is to help a potentially uninformed retail trader or inquisitive reader understand more about financial markets, and assist them in gaining the technical skills required to profit from trading. It represents a beginner’s guide to trading, with a core focus on stocks and currencies.
Author: John L. Person
Publisher: John Wiley & Sons
ISBN: 047012704X
Category : Business & Economics
Languages : en
Pages : 306
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Book Description
Praise for FOREX CONQUERED "In this amazing book, John covers it all. From trading systemsto money management to emotions, he explains easily how to pullmoney consistently from the most complicated financial market inthe world. John packs more new, innovative information into thisbook than I have ever seen in a trading book before." —Rob Booker, independent currency trader "John Person is one of the few rare talents that are uniquelyqualified to help traders understand the process of successfultrading. With today's markets becoming increasingly challenging,John has cut right into the essentials and brought forward themuch-needed tools of forex trading. This clear and well-organizedpublication is a major step forward in helping traders gain anedge. I would highly recommend Forex Conquered as a valuablehandbook for both aspiring and experienced traders alike." —Sandy Jadeja, Chief Market Analyst and EditorLondon StockExchange, London, England "Forex Conquered is a bold title, but this book deliversthe tools needed for successful forex trading. There is no fluffhere, just the wisdom of a trading veteran that I have alwaysrespected-and followed." —Michael Kahn, Editor, Quick Takes Pro market letterand Columnist, Barron's Online "This is a wonderful, in-depth view into the explanation oftechnical analysis and prudent money management guidelines in theforex market." —Blake Morrow, President, 4XMadeEasy "Forex Conquered is a meaningful contribution to the growingnumber of books on forex trading. John Person provides aprofessional view of forex trading that readers will be able to useas a guide for strategies and tactics that work. The scope of thebook covers more than forex and includes salient aspects of futuresand option trading. It should be read and then re-read!" —Abe Cofnas, President, Learn4x.com Note: CD-ROM/DVD and other supplementary materials arenot included as part of eBook file.
Author: Stefan Jansen
Publisher: Packt Publishing Ltd
ISBN: 1839216786
Category : Business & Economics
Languages : en
Pages : 822
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Book Description
Leverage machine learning to design and back-test automated trading strategies for real-world markets using pandas, TA-Lib, scikit-learn, LightGBM, SpaCy, Gensim, TensorFlow 2, Zipline, backtrader, Alphalens, and pyfolio. Purchase of the print or Kindle book includes a free eBook in the PDF format. Key FeaturesDesign, train, and evaluate machine learning algorithms that underpin automated trading strategiesCreate a research and strategy development process to apply predictive modeling to trading decisionsLeverage NLP and deep learning to extract tradeable signals from market and alternative dataBook Description The explosive growth of digital data has boosted the demand for expertise in trading strategies that use machine learning (ML). This revised and expanded second edition enables you to build and evaluate sophisticated supervised, unsupervised, and reinforcement learning models. This book introduces end-to-end machine learning for the trading workflow, from the idea and feature engineering to model optimization, strategy design, and backtesting. It illustrates this by using examples ranging from linear models and tree-based ensembles to deep-learning techniques from cutting edge research. This edition shows how to work with market, fundamental, and alternative data, such as tick data, minute and daily bars, SEC filings, earnings call transcripts, financial news, or satellite images to generate tradeable signals. It illustrates how to engineer financial features or alpha factors that enable an ML model to predict returns from price data for US and international stocks and ETFs. It also shows how to assess the signal content of new features using Alphalens and SHAP values and includes a new appendix with over one hundred alpha factor examples. By the end, you will be proficient in translating ML model predictions into a trading strategy that operates at daily or intraday horizons, and in evaluating its performance. What you will learnLeverage market, fundamental, and alternative text and image dataResearch and evaluate alpha factors using statistics, Alphalens, and SHAP valuesImplement machine learning techniques to solve investment and trading problemsBacktest and evaluate trading strategies based on machine learning using Zipline and BacktraderOptimize portfolio risk and performance analysis using pandas, NumPy, and pyfolioCreate a pairs trading strategy based on cointegration for US equities and ETFsTrain a gradient boosting model to predict intraday returns using AlgoSeek's high-quality trades and quotes dataWho this book is for If you are a data analyst, data scientist, Python developer, investment analyst, or portfolio manager interested in getting hands-on machine learning knowledge for trading, this book is for you. This book is for you if you want to learn how to extract value from a diverse set of data sources using machine learning to design your own systematic trading strategies. Some understanding of Python and machine learning techniques is required.
