Cover image for Algorithmic Trading : Winning Strategies and Their Rationale.
Algorithmic Trading : Winning Strategies and Their Rationale.
Title:
Algorithmic Trading : Winning Strategies and Their Rationale.
Author:
Chan, Ernie.
ISBN:
9781118659557
Personal Author:
Edition:
1st ed.
Physical Description:
1 online resource (224 pages)
Series:
Wiley Trading ; v.625

Wiley Trading
Contents:
ALGORITHMIC TRADING -- CONTENTS -- PREFACE -- CHAPTER 1 Backtesting and Automated Execution -- The Importance of Backtesting -- Common Pitfalls of Backtesting -- Look-ahead Bias -- Data-Snooping Bias and the Beauty of Linearity -- Stock Splits and Dividend Adjustments -- Survivorship Bias in Stock Database -- Primary versus Consolidated Stock Prices -- Venue Dependence of Currency Quotes -- Short-Sale Constraints -- Futures Continuous Contracts -- Futures Close versus Settlement Prices -- Statistical Significance of Backtesting: Hypothesis Testing -- When Not to Backtest a Strategy -- Will a Backtest Be Predictive of Future Returns? -- Choosing a Backtesting and Automated Execution Platform -- How Good Is Your Programming Skill? -- Can Backtesting and Execution Use the Same Program? -- What Type of Asset Classes or Strategies Does the Platform Support? -- Does the Platform Have Complex Event Processing? -- CHAPTER 2 The Basics of Mean Reversion -- Mean Reversion and Stationarity -- Augmented Dickey-Fuller Test -- Hurst Exponent and Variance Ratio Test -- Half-Life of Mean Reversion -- A Linear Mean-Reverting Trading Strategy -- Cointegration -- Cointegrated Augmented Dickey-Fuller Test -- Johansen Test -- Linear Mean-Reverting Trading on a Portfolio -- Pros and Cons of Mean-Reverting Strategies -- CHAPTER 3 Implementing Mean Reversion Strategies -- Trading Pairs Using Price Spreads, Log Price Spreads, or Ratios -- Bollinger Bands -- Does Scaling-in Work? -- Kalman Filter as Dynamic Linear Regression -- Kalman Filter as Market-Making Model -- The Danger of Data Errors -- CHAPTER 4 Mean Reversion of Stocks and ETFs -- The Difficulties of Trading Stock Pairs -- Trading ETF Pairs (and Triplets) -- Intraday Mean Reversion: Buy-on-Gap Model -- Arbitrage between an ETF and Its Component Stocks -- Cross-Sectional Mean Reversion: A Linear Long-Short Model.

CHAPTER 5 Mean Reversion of Currencies and Futures -- Trading Currency Cross-Rates -- Rollover Interests in Currency Trading -- Trading Futures Calendar Spread -- Roll Returns, Backwardation, and Contango -- Do Calendar Spreads Mean-Revert? -- Futures Intermarket Spreads -- Volatility Futures versus Equity Index Futures -- CHAPTER 6 Interday Momentum Strategies -- Tests for Time Series Momentum -- Time Series Strategies -- Extracting Roll Returns through Future versus ETF Arbitrage -- Volatility Futures versus Equity Index Futures: Redux -- Cross-Sectional Strategies -- News Sentiment as a Fundamental Factor -- Mutual Funds Asset Fire Sale and Forced Purchases -- Pros and Cons of Momentum Strategies -- CHAPTER 7 Intraday Momentum Strategies -- Opening Gap Strategy -- News-Driven Momentum Strategy -- Post-Earnings Announcement Drift -- Drift Due to Other Events -- Leveraged ETF Strategy -- High-Frequency Strategies -- CHAPTER 8 Risk Management -- Optimal Leverage -- Kelly Formula -- Optimization of Expected Growth Rate Using Simulated Returns -- Optimization of Historical Growth Rate -- Maximum Drawdown -- Constant Proportion Portfolio Insurance -- Stop Loss -- Risk Indicators -- CONCLUSION -- BIBLIOGRAPHY -- ABOUT THE AUTHOR -- ABOUT THE WEBSITE -- INDEX.
Abstract:
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.
Local Note:
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
Added Author:
Electronic Access:
Click to View
Holds: Copies: