Robust portfolio optimization and management /
Praise for Robust Portfolio Optimization and Management""In the half century since Harry Markowitz introduced his elegant theory for selecting portfolios, investors and scholars have extended and refined its application to a wide range of real-world problems, culminating in the contents of...
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| Format: | eBook |
| Language: | English |
| Language Notes: | English. |
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Hoboken, N.J. :
John Wiley,
©2007.
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| Series: | Frank J. Fabozzi series.
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- Robust Portfolio Optimization and Management; Contents; Preface; TEACHING USING THIS BOOK; ACKNOWLEDGMENTS; Chapter 1: Introduction; QUANTITATIVE TECHNIQUES IN THE INVESTMENT MANAGEMENT INDUSTRY; CENTRAL THEMES OF THIS BOOK; OVERVIEW OF THIS BOOK; Chapter 2: 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
- Chapter 3: Advances in the Theory of Portfolio Risk MeasuresDISPERSION 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; Chapter 4: Portfolio Selection in Practice; PORTFOLIO CONSTRAINTS COMMONLY USED IN PRACTICE; INCORPORATING TRANSACTION COSTS IN ASSET-ALLOCATION MODELS; MULTIACCOUNT OPTIMIZATION; SUMMARY; Chapter 5: Classical Asset Pricing; DEFINITIONS
- THEORETICAL AND ECONOMETRIC MODELSRANDOM WALK MODELS; GENERAL EQUILIBRIUM THEORIES; CAPITAL ASSET PRICING MODEL (CAPM); ARBITRAGE PRICING THEORY (APT); SUMMARY; Chapter 6: 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; Chapter 7: Robust Estimation; THE INTUITION BEHIND ROBUST STATISTICS; ROBUST STATISTICS
- ROBUST ESTIMATORS OF REGRESSIONSCONFIDENCE INTERVALS; SUMMARY; Chapter 8: Robust Frameworks for Estimation: Shrinkage, Bayesian Approaches, and the Black-Litterman Model; PRACTICAL PROBLEMS ENCOUNTERED IN MEAN-VARIANCE OPTIMIZATION; SHRINKAGE ESTIMATION; BAYESIAN APPROACHES; SUMMARY; Chapter 9: Mathematical and Numerical Optimization; MATHEMATICAL PROGRAMMING; NECESSARY CONDITIONS FOR OPTIMALITY FOR CONTINUOUS OPTIMIZATION PROBLEMS; OPTIMIZATION DUALITY THEORY; HOW DO OPTIMIZATION ALGORITHMS WORK?; SUMMARY; Chapter 10: Optimization Under Uncertainty; STOCHASTIC PROGRAMMING
- DYNAMIC PROGRAMMINGROBUST OPTIMIZATION; SUMMARY; Chapter 11: Implementing and Solving Optimization Problems in Practice; OPTIMIZATION SOFTWARE; PRACTICAL CONSIDERATIONS WHEN USING OPTIMIZATION SOFTWARE; IMPLEMENTATION EXAMPLES; SPECIALIZED SOFTWARE FOR OPTIMIZATION UNDER UNCERTAINTY; SUMMARY; Chapter 12: 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