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A Portfolio Selection Model Based on the Interval Number
Author(s) -
Jiangshan Hu,
Sui Yun-yun,
Fang Ma
Publication year - 2021
Publication title -
mathematical problems in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.262
H-Index - 62
eISSN - 1026-7077
pISSN - 1024-123X
DOI - 10.1155/2021/2577264
Subject(s) - portfolio , interval (graph theory) , modern portfolio theory , rate of return on a portfolio , econometrics , selection (genetic algorithm) , asset (computer security) , measure (data warehouse) , portfolio optimization , mathematics , computer science , economics , finance , artificial intelligence , data mining , computer security , combinatorics
Traditional portfolio theory uses probability theory to analyze the uncertainty of financial market. The assets’ return in a portfolio is regarded as a random variable which follows a certain probability distribution. However, it is difficult to estimate the assets return in the real financial market, so the interval distribution of asset return can be estimated according to the relevant suggestions of experts and decision makers, that is, the interval number is used to describe the distribution of asset return. Therefore, this paper establishes a portfolio selection model based on the interval number. In this model, the semiabsolute deviation risk function is used to measure the portfolio’s risk, and the solution of the model is obtained by using the order relation of the interval number. At the same time, a satisfactory solution of the model is obtained by using the concept of acceptability of the interval number. Finally, an example is given to illustrate the practicability of the model.

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