Portfolio selection based on uncertain fractional differential equation

Portfolio selection problems are considered in the paper. The securities in the proposed problems are suggested to follow uncertain fractional differential equations which have memory characteristics. By introducing the left semi-deviation of the wealth, two problems are proposed. One is to maximize...

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Main Author: Ling Rao
Format: Article
Language:English
Published: AIMS Press 2022-01-01
Series:AIMS Mathematics
Subjects:
Online Access:https://www.aimspress.com/article/doi/10.3934/math.2022238?viewType=HTML
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author Ling Rao
author_facet Ling Rao
author_sort Ling Rao
collection DOAJ
description Portfolio selection problems are considered in the paper. The securities in the proposed problems are suggested to follow uncertain fractional differential equations which have memory characteristics. By introducing the left semi-deviation of the wealth, two problems are proposed. One is to maximize the expected value and minimize the left semi-variance of the wealth. The other is to maximize the expected value of the wealth with a chance constraint that the left semi-deviation of the wealth is not less than a given number at a confidence level. The problems are equivalent to determinant ones which will be solved by genetic algorithm. Examples are provided to show the effectiveness of the proposed methods.
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spelling doaj.art-19362d4f9f9f425195122061fa6d61d42022-12-22T04:16:19ZengAIMS PressAIMS Mathematics2473-69882022-01-01734304431410.3934/math.2022238Portfolio selection based on uncertain fractional differential equationLing Rao0School of Mathematics and Statistics, Nanjing University of Science and Technology, Nanjing 210094, Jiangsu, ChinaPortfolio selection problems are considered in the paper. The securities in the proposed problems are suggested to follow uncertain fractional differential equations which have memory characteristics. By introducing the left semi-deviation of the wealth, two problems are proposed. One is to maximize the expected value and minimize the left semi-variance of the wealth. The other is to maximize the expected value of the wealth with a chance constraint that the left semi-deviation of the wealth is not less than a given number at a confidence level. The problems are equivalent to determinant ones which will be solved by genetic algorithm. Examples are provided to show the effectiveness of the proposed methods.https://www.aimspress.com/article/doi/10.3934/math.2022238?viewType=HTMLportfolio selectionuncertain processexpected valueleft semi-deviationuncertain fractional differential equationgenetic algorithm
spellingShingle Ling Rao
Portfolio selection based on uncertain fractional differential equation
AIMS Mathematics
portfolio selection
uncertain process
expected value
left semi-deviation
uncertain fractional differential equation
genetic algorithm
title Portfolio selection based on uncertain fractional differential equation
title_full Portfolio selection based on uncertain fractional differential equation
title_fullStr Portfolio selection based on uncertain fractional differential equation
title_full_unstemmed Portfolio selection based on uncertain fractional differential equation
title_short Portfolio selection based on uncertain fractional differential equation
title_sort portfolio selection based on uncertain fractional differential equation
topic portfolio selection
uncertain process
expected value
left semi-deviation
uncertain fractional differential equation
genetic algorithm
url https://www.aimspress.com/article/doi/10.3934/math.2022238?viewType=HTML
work_keys_str_mv AT lingrao portfolioselectionbasedonuncertainfractionaldifferentialequation