Agarwal Portfolio Selection Using Multi-Objective Optimisation

1. Auflage 2017
ISBN: 978-3-319-54416-8
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 240 Seiten, eBook

Reihe: Progress in Mathematics

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 investor’s 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.

Zielgruppe

Research

Autoren/Hrsg.

Agarwal, Saurabh

Inhaltsverzeichnis

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.

Über Autor(innen)

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), Professor’s Forum of India, as well as the Indian Econometric Association. Professor Agarwal has published articles on portfolio management in a number of journals.