An ensemble approach for portfolio selection in a multi-criteria decision making framework

被引:1
作者
Biswas S. [1 ]
Bandyopadhyay G. [2 ]
Guha B. [3 ]
Bhattacharjee M. [2 ]
机构
[1] Calcutta Business School, Diamond Harbour Road, Bishnupur, West Bengal
[2] Department of Management Studies, National Institute of Technology, Durgapur, West Bengal
[3] Amity University, Kolkata, West Bengal
来源
Decision Making: Applications in Management and Engineering | 2019年 / 2卷 / 02期
关键词
Data Envelopment Analysis (DEA); Entropy; Multi-Attribute Border Approximation Area Comparisons (MABAC); Multi-Criteria Decision Making; Mutual Fund; Portfolio Selection;
D O I
10.31181/dmame2003079b
中图分类号
学科分类号
摘要
Investment in Mutual Funds (MF) has generated increasing interest among the investors over last few decades as it provides an opportunity for flexible and transparent choice of funds to diversify risk while having return potential. MF are essentially a portfolio wherein investors' funds are invested in the securities traded in the capital market while sharing a common objective. However, selection and management of different asset classes pertaining to a particular MF are done by an active fund manager under regulatory supervision. Hence, for an individual investor, it is important to assess the performances of the MF before investment. Performances of MF depend on several criteria based on risk-return measures. Hence, selection of MF is subject to satisfying multiple criteria. In this paper, we have adopted an ensemble approach based on a two-stage framework. Our sample consists of the open ended equity large cap funds (direct plan) in India. In the first stage, the efficiencies of the funds are analyzed using DEA for primary selection of the funds. In order to rank the funds based on risk and return parameters for investment portfolio formulation, we have used MABAC approach in the second stage wherein criteria weights have been calculated using the Entropy method. © 2019 Regional Association for Security and crisis management. All rights reserved.
引用
收藏
页码:138 / 158
页数:20
相关论文
共 71 条
  • [1] Ali A. I., Seiford L. M., Translation invariance in data envelopment analysis, Operations research letters, 9, 6, pp. 403-405, (1990)
  • [2] Alptekin N., Performance evaluation of Turkish type a mutual funds and pension stock funds by using TOPSIS method, International Journal of Economics and Finance Studies, 1, 2, pp. 11-22, (2009)
  • [3] Anand S., Murugaiah V., Analysis of components of investment performance: An empirical study of mutual funds in India, 10th Indian Institute of Capital Markets Conference, (2006)
  • [4] Anderson R., Brockman C., Giannikos C., McLeod R., A non-parametric examination of real estate mutual fund efficiency, International Journal of Business and Economics, 3, pp. 225-238, (2004)
  • [5] Anitha R., Devasenathipathi T., Radhapriya C., Comparative analysis of market returns and fund flows with reference to mutual funds, International Journal of Research in Commerce, IT & Management, 1, 4, (2011)
  • [6] Arora K., Riskadjusted performance evaluation of Indian mutual fund schemes, Paradigm, 19, 1, (2015)
  • [7] Babalos V., Mamatzakis E. C., Matousek R., The performance of US equity mutual funds, Journal of Banking & Finance, 52, pp. 217-229, (2015)
  • [8] Babalos V., Philippas N., Doumpos M., Zopounidis C., Mutual Funds Performance Appraisal Using a Multi Criteria Decision Making Approach, (2011)
  • [9] Babalos V., Philippas N., Doumpos M., Zopounidis C., Mutual funds performance appraisal using a Multi-Criteria Decision Making approach, (2011)
  • [10] Banker R. D., Charnes A., Cooper W. W., Clarke R., Constrained game formulations and interpretations for data envelopment analysis, European Journal of Operational Research, 40, 3, pp. 299-308, (1989)