图书名称：Fuzzy Portfolio Optimization：Advances in Hybrid Multi-criteria Methodologies
作者：Pankaj Gupta, Mukesh Kumar Mehlawat, Masahiro Inuiguchi, Suresh Chandra
出版社：Springer
出版时间：2014年
语言：English
图书描述：

• Offers a comprehensive report on the state-of-the-art in fuzzy portfolio optimization
• Makes the reader familiar with advanced optimization techniques for multi-criteria portfolio optimization models in an uncertain environment
• Written by leading experts in the field
  

This monograph presents a comprehensive study of portfolio optimization, an important area of quantitative finance. Considering that the information available in financial markets is incomplete and that the markets are affected by vagueness and ambiguity, the monograph deals with fuzzy portfolio optimization models. At first, the book makes the reader familiar with basic concepts, including the classical mean–variance portfolio analysis. Then, it introduces advanced optimization techniques and applies them for the development of various multi-criteria portfolio optimization models in an uncertain environment. The models are developed considering both the financial and non-financial criteria of investment decision making, and the inputs from the investment experts. The utility of these models in practice is then demonstrated using numerical illustrations based on real-world data, which were collected from one of the premier stock exchanges in India. The book addresses both academics and professionals pursuing advanced research and/or engaged in practical issues in the rapidly evolving field of portfolio optimization.


Table of contents (10 chapters)
Front Matter Pages 1-15
1、Portfolio Optimization: An Overview Pages 1-31
2、Portfolio Optimization with Interval Coefficients Pages 33-59
3、Portfolio Optimization in Fuzzy Environment Pages 61-80
4、Possibilistic Programming Approaches to Portfolio Optimization Pages 81-125
5、Portfolio Optimization Using Credibility Theory Pages 127-160
6、Multi-criteria Fuzzy Portfolio Optimization Pages 161-186
7、Suitability Considerations in Multi-criteria Fuzzy Portfolio Optimization-I Pages 187-222
8、Suitability Considerations in Multi-criteria Fuzzy Portfolio Optimization-II Pages 223-253
9、Ethicality Considerations in Multi-criteria Fuzzy Portfolio Optimization Pages 255-281
10、Multi-criteria Portfolio Optimization Using Support Vector Machines and Genetic Algorithms Pages 283-309
Back Matter Pages 311-319






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