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A shadow utility of portfolios efficient with respect to the second order stochastic dominance

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F21%3A10472071" target="_blank" >RIV/00216208:11320/21:10472071 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    A shadow utility of portfolios efficient with respect to the second order stochastic dominance

  • Original language description

    We consider diversification-consistent DEA models which are consistent with the second order stochastic dominance (SSD). These models can identify the portfolios which are SSD efficient and suggest the revision of portfolio weights for the inefficient ones. There is also a way how to reconstruct the utility of particular investors based on efficient portfolio which they hold. We apply the above mentioned approaches to industry representative portfolios and discuss the risk aversion of the investors. We focus on the sensitivity with respect to various levels of the risk aversion.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10103 - Statistics and probability

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

    48-53

  • 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

    EUR - Evropská akce

  • UT code for WoS article

    000936369700008