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Distortion risk measures in portfolio optimization

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F21%3A10507993" target="_blank" >RIV/00216208:11320/21:10507993 - isvavai.cz</a>

  • Result on the web

    <a href="https://mme2021.v2.czu.cz/dl/99363?lang=en" target="_blank" >https://mme2021.v2.czu.cz/dl/99363?lang=en</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Distortion risk measures in portfolio optimization

  • Original language description

    The paper deals with mean-risk problems where the risk is modeled by a distortion measure. This measure could be seen as a generalization of Conditional Value-at-Risk or Expected shortfall. If the associated distortion function is concave the measure is coherent. We analyze several distortion measures for different choices of a concave distortion function. First, assuming a discrete distribution of returns, we identify the efficient frontier. Then we compute the portfolio maximizing reward-risk ratio. Finally, we compare the results for various distortion measures among each other.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    50201 - Economic Theory

Result continuities

  • Project

    <a href="/en/project/GX19-28231X" target="_blank" >GX19-28231X: DyMoDiF - Dynamic Models for the Digital Finance</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    39TH INTERNATIONAL CONFERENCE ON MATHEMATICAL METHODS IN ECONOMICS (MME 2021)

  • ISBN

    978-80-213-3126-6

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    255-260

  • Publisher name

    Czech Univ Life Sciences Prague

  • Place of publication

    Prague 6

  • Event location

    Prague

  • Event date

    Sep 8, 2021

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000936369700042