Robust Equity Portfolio Management, + Website

Regular price €107.99
Title
A01=Frank J. Fabozzi
A01=Jang Ho Kim
A01=Woo Chang Kim
advanced portfolio management
and Properties using MATLAB
Author_Frank J. Fabozzi
Author_Jang Ho Kim
Author_Woo Chang Kim
Category=KFFM
eq_bestseller
eq_business-finance-law
eq_isMigrated=1
eq_nobargain
eq_non-fiction
equity portfolio optimization
equity portfolio optimization fundamentals
Frank J. Fabozzi
Implementations
investment analytics
investment MATLAB code
Jang Ho Kim
MATLAB code
MATLAB portfolio management
new portfolio optimization techniques
portfolio analytics
portfolio analytics implementation
portfolio management best practices
portfolio optimization
portfolio optimization code
portfolio optimization models
portfolio optimization research
portfolio simulation models
Robust Equity Portfolio Management + Website: Formulations
Woo Chang Kim

Product details

  • ISBN 9781118797266
  • Weight: 431g
  • Dimensions: 160 x 231mm
  • Publication Date: 26 Jan 2016
  • Publisher: John Wiley & Sons Inc
  • Publication City/Country: US
  • Product Form: Hardback
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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.

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.