Multiple Criteria Decision Making in Finance, Insurance and Investment

This book is devoted to recent developments and applications of multiple criteria decision aid tools in the field of finance, insurance and investment. It illustrates recent methods and procedures designed to solve problems related to finance, insurance and portfolio selection formulated through a mathematical programming framework and for which a large number of conflicting and incommensurable objectives (criteria, attributes) is simultaneously optimized. The book introduces researchers and practitioners to recent theoretical and methodological developments in multi-attributes portfolio selection, multiple criteria analysis in finance, insurance and investment. It is based on selected and invited papers presented and discussed at the 2013 International Conference on Multidimensional Finance, Insurance and Investment (ICMFII'13), held at the College of Business Administration at the University of Bahrain from 25th to 27th November 2013 with the co-sponsorship of the International Society on Multiple Criteria Decision Making and the Institute for Operations Research and the Management Sciences - MCDM section.

Presents simple techniques that can be used by researchers and practitioners from the field of finance, investment and insurance Includes models and real case studies to help young researchers and practitioners to understand the benefit of using these techniques Contains short, precise and concise information about the application of up-to-date MCDM techniques in the field of finance, investment and insurance

Auteur

Minwir Al-Shammari is a Professor of Management and the Dean of the University of Bahrain's College of Business Administration. He holds a PhD in Business Administration from University of Glasgow, UK in 1990 and MS in Industrial Management from Central Missouri State University, USA in 1986. He has been involved for 25 years in teaching, research, training, and consultancy in Decision Aid, Project Management, Strategic Planning and Knowledge Management. He has published more than 30 research papers in International Journals such as, the European Journal of Operational Research, the International Journal of Operations & Production Management, the Expert systems with Applications and the International Journal of Knowledge Management.

Hatem Masri is an Associate Professor at the College of Business Administration, in the University of Bahrain, Kingdom of Bahrain. He received his PhD in Management in 2004 and Master in Operations Research in 1999 from the University of Tunis, Tunisia. His research interests include multiple objective stochastic programming, supply chain management, financial engineering, and vehicle routing problems. His research has been published in several international journals (EJOR, ANOR, FSS, IJAR, ...) and funded by the University of Tunis, the University of Nizwa and the University of Bahrain. He is a member of the International Society on Multiple Criteria Decision Making, IEEE and the Tunisian Decision Aid Society.

Contenu
Multiple Criteria in Islamic Portfolio Selection.- Multiple Criteria Decision Making and Goal Programming for Optimal Venture Capital Investments and Portfolio Management.- On Dynamic Multiple Criteria Decision Making Models: A Goal Programming Approach.- Cross-frontier DEA methodology to evaluate the relative performance of stock and mutual insurers: Comprehensive analysis.- Canadian Socially Responsible Investment Mutual Funds Performance Evaluation Using Data Envelopment Analysis.- Scalarization Methods in Multicriteria Optimization, Robustness, Risk Theory and Finance.- The Multiobjective Nature of Bonus-Malus Sys-tems in Insurance Companies.- A new Fitness Guided Crossover Operator and its application for solving the Constrained Portfolio Selection Problem.- BOCR Analysis: a Framework for Forming Portfolio of Developing Projects.- VIKOR method with an application to borrowing terms selection.- Mutual Funds' Socially Responsible Portfolio Selection with Fuzzy Data.- Auditing and Game theory: A survey.