Robust Equity Portfolio Management: Formulations, Implementations, and Properties Using MATLAB

ISBN-13: 9781118797266 / Angielski / Twarda / 2015 / 256 str.

Woo Chang Kim; Jang Ho Kim; Frank J. Fabozzi CFA

Opis

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.

• Get up to speed on the latest developments in portfolio optimization
• Implement robust models using provided MATLAB code
• Learn advanced optimization methods with equity portfolio applications
• Understand the formulations, performances, and properties of robust portfolios

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.

Spis treści

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

O autorze

WOO CHANG KIM is associate professor in the Industrial and Systems Engineering Department at the Korea Advanced Institute of Science and Technology (KAIST). He serves on the editorial boards for several journals, including Journal of Portfolio Management, Optimization and Engineering, and Quantitative Finance Letters.

JANG HO KIM is assistant professor of Industrial and Management Systems Engineering at Kyung Hee University.

FRANK J. FABOZZI is editor of the Journal of Portfolio Management, professor of finance at EDHEC Business School, and a senior scientific adviser at the EDHEC–Risk Institute.

Blurb

A COMPREHENSIVE REVIEW OF ROBUST PORTFOLIO OPTIMIZATION

Robust Equity Portfolio Management offers one–of–a–kind coverage that makes the highly complex and mathematically difficult practice of robust portfolio optimization accessible and easy to implement. With the academic thoroughness and hands–on applicability books in the Fabozzi Series are known for, this complete guide takes you on a dynamic course to master robust portfolio optimization and use it to significantly reduce portfolio risk and resolve the sensitivity issue of the traditional Markowitz mean–variance model. Develop your skills on the accompanying website where you can safely apply what you learned and experiment with constructing robust portfolios for equity portfolio management. This groundbreaking book:

• Introduces the mean–variance model, discusses its shortcomings, and explains common approaches for increasing the robustness of portfolios
• Contains an overview of optimization and details the steps involved in formulating a robust portfolio optimization problem
• Focuses on analyzing robust portfolios constructed from robust portfolio optimization by identifying attributes and summarizing performances

Robust Equity Portfolio Management prepares you to solve all possible uncertainties, which is a good strategy in any market.