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Article

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Title

Distorted probability operator for dynamic portfolio optimization in times of socio-economic crisis

Authors

[ 1 ] Instytut Logistyki, Wydział Inżynierii Zarządzania, Politechnika Poznańska | [ P ] employee

Scientific discipline (Law 2.0)

[6.6] Management and quality studies

Year of publication

2023

Published in

Central European Journal of Operations Research

Journal year: 2023 | Journal volume: vol. 31 | Journal number: iss. 4

Article type

scientific article

Publication language

english

Keywords
EN
  • Probability distortion
  • Markov decision processes
  • Dynamic programming
  • Risk management
  • Mathematical finance
Abstract

EN A robust optimal control of discrete time Markov chains with finite terminal T and bounded costs or wealth using probability distortion is studied. The time inconsistency of these distortion operators and hence its lack of dynamic programming are discussed. Due to that, dynamic versions of these operators are introduced, and its availability for dynamic programming is demonstrated. Based on dynamic programming algorithm, existence of the optimal policy is justified and an application of the theory to portfolio optimization along with a numerical study is also presented.

Date of online publication

09.12.2022

Pages (from - to)

1043 - 1060

DOI

10.1007/s10100-022-00834-0

URL

https://doi.org/10.1007/s10100-022-00834-0

License type

CC BY (attribution alone)

Open Access Mode

czasopismo hybrydowe

Open Access Text Version

final published version

Release date

09.12.2022

Date of Open Access to the publication

at the time of publication

Full text of article

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Access level to full text

public

Ministry points / journal

70

Impact Factor

1,4

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