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Fuzzy Portfolio Optimization: Advances in Hybrid Multi-criteria Methodologies (Studies in Fuzziness and Soft Computing, 316, Band 316) - Hardcover

Buch 89 von 183: Studies in Fuzziness and Soft Computing

Gupta

 
9783642546518: Fuzzy Portfolio Optimization: Advances in Hybrid Multi-criteria Methodologies (Studies in Fuzziness and Soft Computing, 316, Band 316)

Inhaltsangabe

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.

 

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Über die Autorin bzw. den Autor

Pankaj Gupta is a senior research office at the Institute of Integrated Himalayan Studies (IIHS), University Grants Commission (UGC) Centre of Excellence, Himachal Pradesh University, Shimla, India. He is a doctorate in biosciences from Himachal Pradesh University and the managing editor of Himalayan Studies Journal & IIHS News Bulletin. He is also a member of the editorial team of Himshikhar, the Himachal Pradesh University newsletter, brought out quarterly by Himachal Pradesh University, Shimla. He is member of the Mountain Forum Himalayas, a nongovernment organization active in Himachal Pradesh and Uttrakhand states in India, and has been an expert for project evaluations funded by the Council for Advancement of People's Action and Rural Technology (CAPART), India. He has acted as a consultant for the Himachal Pradesh Power Corporation Limited for social impact assessment studies and baseline studies since 2008. His areas of interest are village studies, natural resource management, health oriented problems of women and children particularly nutritional, anthropometric and dietary studies, traditional health care systems and magico-religious methods of healing, ethno-Cultural, ethno-ecological and audiovisual documentation of culture and nature. Vijay Kumar Sharma is a project officer at the Institute of Integrated Himalayan Studies, University Grants Commission (UGC) Centre of Excellence, Himachal Pradesh University, Shimla. He has published papers in reputed journals, besides editing and authoring two books each. He has been involved in various research projects of the institute funded by the UGC and other funding agencies. His areas of specialization are rural sociology, folk medicine and indigenous knowledge. Sushma Sharma is a professor in the Department of Biosciences, Himachal Pradesh University, Shimla. She was previously the Director of the Women's Study Centre of Himachal Pradesh University. She has completed a number of projects funded by the UGC and other funding agencies. Dr. Sharma has worked on nutritional and physiological studies of Himalayan people. Her research papers have been published in journals of national and international repute. Her area of specialization is muscle physiology.

Von der hinteren Coverseite

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.

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