Details

Robust Equity Portfolio Management


Robust Equity Portfolio Management

Formulations, Implementations, and Properties using MATLAB
Frank J. Fabozzi Series 1. Aufl.

von: Woo Chang Kim, Jang Ho Kim, Frank J. Fabozzi

80,99 €

Verlag: Wiley
Format: PDF
Veröffentl.: 30.11.2015
ISBN/EAN: 9781118797303
Sprache: englisch
Anzahl Seiten: 256

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Beschreibungen

<b>A comprehensive portfolio optimization guide, with provided MATLAB code</b> <p><i>Robust Equity Portfolio Management</i> <i>+ Website</i> 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. <p>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. <ul> <li>Get up to speed on the latest developments in portfolio optimization</li> <li>Implement robust models using provided MATLAB code</li> <li>Learn advanced optimization methods with equity portfolio applications</li> <li>Understand the formulations, performances, and properties of robust portfolios</li> </ul> <p>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. <i>Robust Equity Portfolio Management</i> <i>+ Website</i> provides a viable alternative framework, and the hard skills to implement any optimization method.
<p>Preface xi</p> <p>Chapter 1</p> <p>Introduction 1</p> <p>Chapter 2</p> <p>Mean-Variance Portfolio Selection 6</p> <p>Chapter 3</p> <p>Shortcomings of Mean-Variance Analysis 22</p> <p>Chapter 4</p> <p>Robust Approaches for Portfolio Selection 39</p> <p>Chapter 5</p> <p>Robust Optimization 66</p> <p>Chapter 6</p> <p>Robust Portfolio Construction 95</p> <p>Chapter 7</p> <p>Controlling Third and Fourth Moments of Portfolio Returns via Robust Mean-Variance Approach 122</p> <p>Chapter 8</p> <p>Higher Factor Exposures of Robust Equity Portfolios 137</p> <p>Chapter 9</p> <p>Composition of Robust Portfolios 164</p> <p>Chapter 10</p> <p>Robust Portfolio Performance 185</p> <p>Chapter 11</p> <p>Robust Optimization Software 216</p> <p>About the Authors 231</p> <p>About the Companion Website 233</p> <p>Index 235</p>
<p><b>WOO CHANG KIM</b> 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 <i>Journal of Portfolio Management, Optimization and Engineering,</i> and <i>Quantitative Finance Letters.</i></p> <p><b> JANG HO KIM</b> is assistant professor of Industrial and Management Systems Engineering at Kyung Hee University. <p><b> FRANK J. FABOZZI</b> is editor of the <i>Journal of Portfolio Management</i>, professor of finance at EDHEC Business School, and a senior scientific adviser at the EDHEC-Risk Institute.
<p>Since Harry Markowitz published his mean-variance model in 1952, numerous extensions have followed attempting to overcome its limitations. <i>Robust Equity Portfolio Management</i> provides singular coverage on one of these extensions—the construction of robust portfolios for equity portfolio management within the mean-variance framework. </p> <p> Whether you have no background in portfolio management and optimization or want to add quantitative robust equity portfolio management to your skill set, this versatile guide offers step-by-step instruction on the theory and mechanics you need to use robust models for optimal portfolio construction. After an insightful primer on portfolio theory and optimization supported by programming examples, coverage advances to robust formulations, implementation of robust portfolio optimization, attributes of robust portfolios, and robust portfolio performance. Financial professionals and newcomers alike will benefit from: <ul><li>Peerless depth and focus of material on the quantitative side of equity portfolio management, with emphasis on portfolio optimization and risk analysis</li> <li>Engaging reviews of theoretical developments alongside numerous programming examples to demonstrate their use in practice</li> <li>A wealth of historical data, expert insight, and technical expertise used to examine the formulations, implementations, and properties of robust equity portfolios</li> <li>A companion website offering hands-on practice implementing portfolio problems in MATLAB, as well as a complete list of MATLAB codes used in the book</li> <li>A practical look at software packages for solving robust optimization problems with both easily defined uncertainty sets and functions for automatically reformulating problems into a tractable form</li></ul> <p> Set yourself apart with the specialized training to explore advanced methods for improving portfolio robustness with <i>Robust Equity Portfolio Management.</i>

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