Statistical Arbitrage Algorithmic Trading Insights and Techniques [Hardcover]

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.Preface.

Foreword.

Acknowledgments.

Chapter 1. Monte Carlo or Bust.

Beginning.

Whither? And Allusions.

Chapter 2. Statistical Arbitrage.

Introduction.

Noise Models.

Reverse Bets.

Multiple Bets.

Rule Calibration.

Spread Margins for Trade Rules.

Popcorn Process.

Identifying Pairs.

Refining Pair Selection.

Event Analysis.

Correlation Search in the Twenty-First Century.

Portfolio Configuration and Risk Control.

Exposure to Market Factors.

Market Impact.

Risk Control Using Event Correlations.

Dynamics and Calibration.

Evolutionary Operation: Single Parameter Illustration.

Chapter 3. Structural Models.

Introduction.

Formal Forecast Functionl£B