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Portfolio Selection Using Multi-Objective Optimisation [Hardcover]

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  • Category: Books (Business & Economics)
  • Author:  Agarwal, Saurabh
  • Author:  Agarwal, Saurabh
  • ISBN-10:  3319544152
  • ISBN-10:  3319544152
  • ISBN-13:  9783319544151
  • ISBN-13:  9783319544151
  • Publisher:  Palgrave Macmillan
  • Publisher:  Palgrave Macmillan
  • Binding:  Hardcover
  • Binding:  Hardcover
  • Pub Date:  01-Apr-2017
  • Pub Date:  01-Apr-2017
  • SKU:  3319544152-11-SPRI
  • SKU:  3319544152-11-SPRI
  • Item ID: 100859668
  • List Price: $129.99
  • Seller: ShopSpell
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This book explores the risk-return paradox in portfolio selection by incorporating multi-objective criteria. Empirical research is presented on the development of alternate portfolio models and their relative performance in the risk/return framework to provide solutions to multi-objective optimization. Next to outlining techniques for undertaking individual investors profiling and portfolio programming, it also offers a new and practical approach for multi-objective portfolio optimization. This book will be of interest to Foreign Institutional Investors (FIIs), Mutual Funds, investors, and researchers and students in the field.

Chapter 1: Introduction.- Chapter 2: Theoretical Underpinnings and Policy Issues.- Chapter 3 - Review of Existing Literature.- Chapter 4: Research Methodology. Chapter 5: Empirical Observations: Questionnaire for Retail Investor and Expert Opinion. - Chapter 6: - Empirical Results: Questionnaire Survey and Goal Programming Portfolio Selection.- Chapter 7: Conclusions and Suggestions for Future Research.
Saurabh Agarwal is a Professor of Accounting and Finance at the Indian Institute of Finance, India. He holds a PhD from the University of Delhi, India and is a member of the Associated Chambers of Commerce & Industry of India (ASSOCHAM), Professors Forum of India, as well as the Indian Econometric Association. Professor Agarwal has published articles on portfolio management in a number of journals.
This book explores the risk-return paradox in portfolio selection by incorporating multi-objective criteria. Empirical research is presented on the development of alternate portfolio models and their relative performance in the risk/return framework to provide solutions to multi-objective optimization. Next to outlining techniques for undertaking individual investors profiling and portfolio programming, it also offers a new and practical approach for multi-objectlÛ
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