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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: Ganapathy Vidyamurthy
Publisher: John Wiley & Sons
ISBN: 111804570X
Category : Business & Economics
Languages : en
Pages : 295
Get Book Here
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: Mark Whistler
Publisher: John Wiley & Sons
ISBN: 0471679704
Category : Business & Economics
Languages : en
Pages : 297
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Book Description
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.
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: 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: Ernie Chan
Publisher: John Wiley & Sons
ISBN: 1118460146
Category : Business & Economics
Languages : en
Pages : 230
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Book Description
Praise for Algorithmic TRADING “Algorithmic Trading is an insightful book on quantitative trading written by a seasoned practitioner. What sets this book apart from many others in the space is the emphasis on real examples as opposed to just theory. Concepts are not only described, they are brought to life with actual trading strategies, which give the reader insight into how and why each strategy was developed, how it was implemented, and even how it was coded. This book is a valuable resource for anyone looking to create their own systematic trading strategies and those involved in manager selection, where the knowledge contained in this book will lead to a more informed and nuanced conversation with managers.” —DAREN SMITH, CFA, CAIA, FSA, Managing Director, Manager Selection & Portfolio Construction, University of Toronto Asset Management “Using an excellent selection of mean reversion and momentum strategies, Ernie explains the rationale behind each one, shows how to test it, how to improve it, and discusses implementation issues. His book is a careful, detailed exposition of the scientific method applied to strategy development. For serious retail traders, I know of no other book that provides this range of examples and level of detail. His discussions of how regime changes affect strategies, and of risk management, are invaluable bonuses.” —ROGER HUNTER, Mathematician and Algorithmic Trader
Author: James Lauren Bickford
Publisher: John Wiley & Sons
ISBN: 0470139285
Category : Business & Economics
Languages : en
Pages : 258
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Book Description
A revolutionary approach to analyzing the foreign exchange markets All markets move in patterns. Being able to visualize and analyze those patterns can offer powerful advantages for traders in every market. Traditionally, though, technical analysis has been the preferred technique for Forex traders. In this pioneering book, Michael Archer and James Bickford expand upon the use of technical indicators by studying and charting the most commonly traded currency pairs. Featuring numerous historical charts generated by proprietary software and charting system, Charting the Major Forex Pairs provides Forex traders with a graphical interpretation of the markets, enabling them to instantly see patterns, and to enter into and exit positions with confidence.
Author: Stefan Hollos
Publisher: Abrazol Publishing
ISBN: 9781887187152
Category : Business & Economics
Languages : en
Pages : 90
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Book Description
Have you ever wondered whether Bayesian analysis can be applied toward the stock market? We did, and set out to investigate. This book shows you how to find relationships between stocks or exchange traded funds (ETFs) using Bayesian analysis. A relationship that most traders are probably familiar with is linear correlation. This is sometimes used as the basis for pairs trading. But linear correlation is just one way that stocks or ETFs can be related. The analysis we present in this book can be used to exploit almost any kind of relationship that may exist between stocks or ETFs. The book will show how to calculate the probability of a stock or ETF ending the day up or down based on what other stocks or ETFs are doing. A probability is more useful than a simple up or down signal. It quantifies the certainty of a prediction and allows a trader to take a position consistent with a given level of risk. Any active trader should find the techniques presented in this book useful. We are only going to examine the relationships in one small group of ETFs as an example of what is possible but the same techniques will work for any set of stocks, ETFs, or even bonds. The tool we use to calculate the probability of a positive or negative return on a stock or ETF is called a Bayesian classifier. It is called a classifier because it calculates probabilities for only two discrete outcomes: positive or negative. The method we use to calculate these probabilities is called Bayes' Theorem.
Author: Ann C. Logue
Publisher: John Wiley & Sons
ISBN: 1118051815
Category : Business & Economics
Languages : en
Pages : 364
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Book Description
Day trading is undoubtedly the most exciting way to make money from home. It's also the riskiest. Before you begin, you need three things: patience, nerves of steel, and a well-thumbed copy of Day Trading For Dummies—the low-risk way to find out whether day trading is for you. This plain-English guide shows you how day trading works, identifies its all-too-numerous pitfalls, and get you started with an action plan. From classic and renegade strategies to the nitty-gritty of daily trading practices, it gives you the knowledge and confidence you'll need to keep a cool head, manage risk, and make decisions instantly as you buy and sell your positions. Learn how to: Set up your accounts and your office Connect with research and trading services Plan and research trades carefully and thoroughly Comply with regulations issues and tax requirements Leverage limited capital Cope with the stress quick-action trading Sell short to profit from price drops Evaluate your day-trading performance Use technical and fundamental analysis Find entry and exit points Use short-term trading to establish a long-term portfolio You'll also find Top-Ten Lists of good reasons to go into day trading, or run from it in terror, as well as lists of the most common (and expensive) mistakes day traders make. Read Day Trading For Dummies and get the tips, guidance, and solid foundation you need to succeed in this thrilling, lucrative and rewarding career.
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.
