University of Leicester
Browse
- No file added yet -

Quantum-like model of subjective expected utility: A survey of applications to finance

Download (141.08 kB)
journal contribution
posted on 2020-04-23, 09:26 authored by P Khrennikova
In this survey paper we review the potential financial applications of quantum probability (QP) framework of subjective expected utility formalized in [2]. The model serves as a generalization to the classical probability (CP) scheme and relaxes the core axioms of commuta-tivity and distributivity of events. The agents form subjective beliefs via the rules of projective probability calculus and make decisions between prospects or lotteries by employing utility functions and some additional parameters given by a so called ‘comparison operator’. Agents’ comparison between lotteries involves interference effects that denote their risk perceptions from the ambiguity about prospect realisation when making a lottery selection. The above framework that builds upon the assumption of non-commuting lottery observables can have a wide class of applications to finance and asset pricing. We review here a case of an investment in two complementary risky assets about which the agent possesses non-commuting price expectations that give raise to a state dependence in her trading preferences. We summarise by discussing some other behavioural finance applications of the QP based selection behaviour framework.

History

Citation

Studies in Computational Intelligence, 2019, 809, pp. 76-89

Author affiliation

School of Business

Version

  • AM (Accepted Manuscript)

Published in

Studies in Computational Intelligence

Volume

809

Pagination

76-89

Publisher

Springer-Verlag

issn

1860-949X

Copyright date

2018

Publisher version

https://link.springer.com/chapter/10.1007/978-3-030-04200-4_5

Language

en

Usage metrics

    University of Leicester Publications

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC