High-Frequency Trading [Hardback]A Practical Guide to Algorithmic Strategies and Trading Systemsby Irene Aldridge
Usually ships within 2 to 4 working days Description of High-Frequency TradingA hands-on guide to the fast and ever-changing world of high-frequency, algorithmic trading Financial markets are undergoing rapid innovation due to the continuing proliferation of computer power and algorithms. These developments have created a new investment discipline called high-frequency trading. This book covers all aspects of high-frequency trading, from the business case and formulation of ideas through the development of trading systems to application of capital and subsequent performance evaluation. It also includes numerous quantitative trading strategies, with market microstructure, event arbitrage, and deviations arbitrage discussed in great detail.- Contains the tools and techniques needed for building a high-frequency trading system - Details the post-trade analysis process, including key performance benchmarks and trade quality evaluation - Written by well-known industry professional Irene Aldridge Interest in high-frequency trading has exploded over the past year. This book has what you need to gain a better understanding of how it works and what it takes to apply this approach to your trading endeavors. People who bought this book also boughtTitle Information
Write a review of this book Customer Reviews from AmazonAbout Irene AldridgeIrene Aldridge is an expert on the subject of high-frequency trading. She is currently a Managing Partner and Quantitative Portfolio Manager at ABLE Alpha Trading, LTD, a proprietary trading vehicle specializing in high-frequency systematic trading strategies. Prior to ABLE Alpha, Aldridge worked for various institutions on Wall Street and in Toronto, including Goldman Sachs and CIBC. She also taught finance at the University of Toronto. She holds an MBA from INSEAD, an MS in financial engineering from Columbia University, and a BE in electric engineering from the Cooper Union in New York. Aldridge is a frequent speaker at top industry events and a contributor to academic and practitioner publications, including the Journal of Trading, E-Forex, HedgeWorld, FXWeek, FINalternatives, and Dealing with Technology. She also appears frequently on business television, including appearances on CNBC, Fox Business, and The Daily Show with Jon Stewart. Aldridge has been quoted by Bloomberg LP and other major business news outlets.Contents of High-Frequency TradingForewordAcknowledgments 1. Introduction 2. Evolution Of High Frequency Trading Financial Markets And Technological Innovation Evolution Of Trading Methodology 3. Overview Of The Business Of High-Frequency Trading Comparison With Traditional Approaches To Trading Market Participants Operating Model Economics Capitalizing A Hft Business Conclusion 4. Financial Markets Suitable For High Frequency Trading Financial Markets And Their Suitability For High Frequency Trading Conclusion 5. Evaluating Performance Of High-Frequency Strategies Basic Return Characteristics Comparative Ratios Performance Attribution Other Considerations In Strategy Evaluation Conclusion 6. Orders, Traders And Their Applicability To High-Frequency Trading Order Types Order Distributions Conclusion 7. Market Inefficiency And Profit Opportunities At Different Frequencies Predictability Of Price Moves At High Frequencies Conclusion 8. Searching For High-Frequency Trading Opportunities Statistical Properties Of Returns Linear Econometric Models Volatility Modeling Nonlinear Models Conclusion 9. Working With Tick Data Properties Of Tick Data Quantity And Quality Of Tick Data Bid-Ask Spreads Bid-Ask Bounce Modeling Arrivals Of Tick Data Applying Traditional Econometric Techniques To Tick Data Conclusion 10. Trading On Market Microstructure Inventory Models Overview Of Inventory Trading Strategies Orders, Traders And Liquidity Profitable Market Making Directional Liquidity Provision Conclusion 11. Trading On Market Microstructure Information Models Measures Of Asymmetric Information Information-Based Trading Models Conclusion 12. Event Arbitrage Developing Event Arbitrage Trading Strategies What Constitutes An Event? Forecasting Methodologies Tradeable News Application Of Event Arbitrage Conclusion 13. Statistical Arbitrage In High Frequency Settings Mathematical Foundations Practical Applications Of Statistical Arbitrage Conclusion 14. Creating And Managing Portfolios Of High-Frequency Strategies Analytical Foundations Of Portfolio Optimization Effective Portfolio Management Practices Conclusion 15. Back-Testing Trading Models Evaluating Point Forecasts Evaluating Directional Forecasts Conclusion 16. Implementing High-Frequency Trading Systems Model Development Lifecycle System Implementation Testing Trading Systems Conclusion 17. Risk Management Determining Risk Management Goals Measuring Risk Managing Risk Conclusion 18. Executing And Monitoring High-Frequency Trading Executing High-Frequency Trading Systems Monitoring High-Frequency Execution Conclusion 19. Post-Trade Profitability Analysis Post-Trade Cost Analysis Post-Trade Performance Analysis References About The Author Index |
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