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Robust Equity Portfolio Management, + Website
Formulations, Implementations, and Properties using MATLAB
Woo Chang Kim (Author), Jang Ho Kim (Author), Frank J. Fabozzi (Author)
9781118797266, Wiley
Hardback, published 26 January 2016
256 pages
23.1 x 16 x 1.3 cm, 0.431 kg
A comprehensive portfolio optimization guide, with provided MATLAB code Robust Equity Portfolio Management + Website offers the most comprehensive coverage available in this burgeoning field. Beginning with the fundamentals before moving into advanced techniques, this book provides useful coverage for both beginners and advanced readers. MATLAB code is provided to allow readers of all levels to begin implementing robust models immediately, with detailed explanations and applications in the equity market included to help you grasp the real-world use of each technique. The discussion includes the most up-to-date thinking and cutting-edge methods, including a much-needed alternative to the traditional Markowitz mean-variance model. Unparalleled in depth and breadth, this book is an invaluable reference for all risk managers, portfolio managers, and analysts. Portfolio construction models originating from the standard Markowitz mean-variance model have a high input sensitivity that threatens optimization, spawning a flurry of research into new analytic techniques. This book covers the latest developments along with the basics, to give you a truly comprehensive understanding backed by a robust, practical skill set. The Markowitz mean-variance model remains the standard framework for portfolio optimization, but the interest in—and need for—an alternative is rapidly increasing. Resolving the sensitivity issue and dramatically reducing portfolio risk is a major focus of today's portfolio manager. Robust Equity Portfolio Management + Website provides a viable alternative framework, and the hard skills to implement any optimization method.
Preface xi Chapter 1 Introduction 1 Chapter 2 Mean-Variance Portfolio Selection 6 Chapter 3 Shortcomings of Mean-Variance Analysis 22 Chapter 4 Robust Approaches for Portfolio Selection 39 Chapter 5 Robust Optimization 66 Chapter 6 Robust Portfolio Construction 95 Chapter 7 Controlling Third and Fourth Moments of Portfolio Returns via Robust Mean-Variance Approach 122 Chapter 8 Higher Factor Exposures of Robust Equity Portfolios 137 Chapter 9 Composition of Robust Portfolios 164 Chapter 10 Robust Portfolio Performance 185 Chapter 11 Robust Optimization Software 216 About the Authors 231 About the Companion Website 233 Index 235
Subject Areas: Finance & accounting [KF]
