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Choices based on asymptotic approximation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F15%3A86094775" target="_blank" >RIV/61989100:27510/15:86094775 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Choices based on asymptotic approximation

  • Original language description

    In this paper, we deal with portfolio selection decisions when the portfolio returns are approximated by stable Paretian distributions. Therefore, we examine some dominance rules to determine the optimal choices of non-satiable risk averse investors. Inparticular, we first preselect a subclass of assets which are not dominated by the point of view of non-satiable and risk-averse investors. Then, we optimize a multi-parametric portfolio optimization problem that takes into account the asymptotic stochastic dominance rule. Finally, we compare the ex-post wealth obtained by optimal portfolios with different levels of asymptotic skewness and stability index.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    AH - Economics

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2015

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Financial Management of Firms and Financial Institutions : 10th international scientific conference : 7th - 8th September 2015, Ostrava, Czech Republic : proceedings. [Part I - IV]

  • ISBN

    978-80-248-3865-6

  • ISSN

    2336-162X

  • e-ISSN

  • Number of pages

    920

  • Pages from-to

    911

  • Publisher name

    VŠB - Technical University of Ostrava

  • Place of publication

    Ostrava

  • Event location

    Ostrava

  • Event date

    Sep 7, 2015

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article