Preface | |
About the Authors | |
Introduction | |
Quantitative Techniques in the Investment Management Industry | |
Central Themes of This Book | |
Overview of This Book | |
Portfolio Allocation: Classical Theory and Extensions | |
Mean-Variance Analysis and Modern Portfolio Theory | |
The Benefits of Diversification | |
Mean-Variance Analysis: Overview | |
Classical Framework for Mean-Variance Optimization | |
The Capital Market Line | |
Selection of the Optimal Portfolio When There Is a Risk-Free Asset | |
More on Utility Functions: A General Framework for Portfolio Choice | |
Summary | |
Advances in the Theory of Portfolio Risk Measures | |
Dispersion and Downside Measures | |
Portfolio Selection with Higher Moments through Expansions of Utility | |
Polynomial Goal Programming for Portfolio Optimization with Higher Moments | |
Some Remarks on the Estimation of Higher Moments | |
The Approach of Malevergne and Sornette | |
Summary | |
Portfolio Selection in Practice | |
Portfolio Constraints Commonly Used in Practice | |
Incorporating Transaction Costs in Asset-Allocation Models | |
Multiaccount Optimization | |
Summary | |
Robust Parameter Estimation | |
Classical Asset Pricing | |
Definitions | |
Theoretical and Econometric Models | |
Random Walk Models | |
General Equilibrium Theories | |
Capital Asset Pricing Model (CAPM) | |
Arbitrage Pricing Theory (APT) | |
Summary | |
Forecasting Expected Return and Risk | |
Dividend Discount and Residual Income Valuation Models | |
The Sample Mean and Covariance Estimators | |
Random Matrices | |
Arbitrage Pricing Theory and Factor Models | |
Factor Models in Practice | |
Other Approaches to Volatility Estimation | |
Application to Investment Strategies and Proprietary Trading | |
Summary | |
Robust Estimation | |
The Intuition behind Robust Statistics | |
Robust Statistics | |
Robust Estimators of Regressions | |
Confidence Intervals | |
Summary | |
Robust Frameworks for Estimation: Shrinkage, Bayesian Approaches, and the Black-Litterman Model | |
Practical Problems Encountered in Mean-Variance Optimization | |
Shrinkage Estimation | |
Bayesian Approaches | |
Summary | |
Optimization Techniques | |
Mathematical and Numerical Optimization | |
Mathematical Programming | |
Necessary Conditions for Optimality for Continuous Optimization Problems | |
Optimization Duality Theory | |
How Do Optimization Algorithms Work? | |
Summary | |
Optimization under Uncertainty | |
Stochastic Programming | |
Dynamic Programming | |
Robust Optimization | |
Summary | |
Implementing and Solving Optimization Problems in Practice | |
Optimization Software | |
Practical Considerations When Using Optimization Software | |
Implementation Examples | |
Specialized Software for Optimization Under Uncertainty | |
Summary | |
Robust Portfolio Optimization | |
Robust Modeling of Uncertain Parameters in Classical Mean-Variance Portfolio Optimization | |
Portfolio Resampling Techniques | |
Robust Portfolio Allocation | |
Some Practical Remarks on Robust Portfolio Allocation Models | |
Summary | |
The Practice of Robust Portfolio Management: Recent Trends and New Directions | |
Some Issues in Robust Asset Allocation | |
Portfolio Rebalancing | |
Understanding and Modeling Transaction Costs | |
Table of Contents provided by Publisher. All Rights Reserved. |
The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any access cards, study guides, lab manuals, CDs, etc.
The Used, Rental and eBook copies of this book are not guaranteed to include any supplemental materials. Typically, only the book itself is included. This is true even if the title states it includes any access cards, study guides, lab manuals, CDs, etc.