A multi-objective approach based on Markowitz and DEA cross-efficiency models for the intuitionistic fuzzy portfolio selection problem

Q1 Decision Sciences
M. Rasoulzadeh, S. A. Edalatpanah, M. Fallah, S. Najafi
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引用次数: 22

Abstract

: Nowadays, investors' main concerns are choosing the best portfolio so that the highest possible investment return can be achieved by accepting the least risk. In this regard, the classical Markowitz model is one of the most widely used models which helps investors get closer to their goals. Data envelopment analysis (DEA) is also a practical technique that can analyze the efficiency of firms. Few models can address companies' internal performance simultaneously in addition to considering the goals of Markowitz models. Also, we study the return and price fluctuations of assets in the market with the intuitionistic fuzzy numbers for the first time. Therefore, in this paper, we combine all these tools with returns of intuitionistic fuzzy numbers, proposing a new combined Markowitz and the cross DEA models. Furthermore, to get the best portfolio of assets, this model obtains the efficiency of all companies and, simultaneously,
基于Markowitz和DEA交叉效率模型的直觉模糊投资组合选择问题的多目标方法
:如今,投资者主要关心的是选择最佳的投资组合,以便通过接受最小的风险来获得尽可能高的投资回报。在这方面,经典的Markowitz模型是最广泛使用的模型之一,它有助于投资者更接近他们的目标。数据包络分析(DEA)也是一种可以分析企业效率的实用技术。除了考虑Markowitz模型的目标之外,很少有模型能够同时处理公司的内部绩效。此外,我们还首次用直觉模糊数研究了市场上资产的收益和价格波动。因此,在本文中,我们将所有这些工具与直觉模糊数的返回相结合,提出了一种新的组合Markowitz和交叉DEA模型。此外,为了获得最佳的资产组合,该模型获得了所有公司的效率,同时,
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来源期刊
Decision Making Applications in Management and Engineering
Decision Making Applications in Management and Engineering Decision Sciences-General Decision Sciences
CiteScore
14.40
自引率
0.00%
发文量
35
审稿时长
14 weeks
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