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Robust Equity Portfolio Management by Woo Chang Kim: New

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Item specifics

Condition
Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
Publication Date
2015-12-04
Pages
256
ISBN
9781118797266
Book Title
Robust Equity Portfolio Management, + Website : Formulations, Implementations, and Properties Using MATLAB
Book Series
Frank J. Fabozzi Ser.
Item Length
9.1 in
Publisher
Wiley & Sons, Incorporated, John
Publication Year
2015
Format
Hardcover
Language
English
Item Height
0.5 in
Author
Jang Ho Kim, Frank J. Fabozzi, Woo Chang Kim
Genre
Business & Economics
Topic
Marketing / General, Investments & Securities / Portfolio Management, Investments & Securities / General
Item Width
6.3 in
Item Weight
15.2 Oz
Number of Pages
256 Pages

About this product

Product Information

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.

Product Identifiers

Publisher
Wiley & Sons, Incorporated, John
ISBN-10
1118797264
ISBN-13
9781118797266
eBay Product ID (ePID)
204000942

Product Key Features

Book Title
Robust Equity Portfolio Management, + Website : Formulations, Implementations, and Properties Using MATLAB
Author
Jang Ho Kim, Frank J. Fabozzi, Woo Chang Kim
Format
Hardcover
Language
English
Topic
Marketing / General, Investments & Securities / Portfolio Management, Investments & Securities / General
Publication Year
2015
Book Series
Frank J. Fabozzi Ser.
Genre
Business & Economics
Number of Pages
256 Pages

Dimensions

Item Length
9.1 in
Item Height
0.5 in
Item Width
6.3 in
Item Weight
15.2 Oz

Additional Product Features

Intended Audience
Trade
Lc Classification Number
Hg4529.5.K556 2015
Table of Content
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
Copyright Date
2016
Lccn
2015-030347
Dewey Decimal
332.60285/53
Dewey Edition
23

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