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Mean-value at risk portfolio efficiency: approaches based on data envelopment analysis models with negative data and their empirical behaviour

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F16%3A10323557" target="_blank" >RIV/00216208:11320/16:10323557 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/s10288-015-0296-5" target="_blank" >http://dx.doi.org/10.1007/s10288-015-0296-5</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/s10288-015-0296-5" target="_blank" >10.1007/s10288-015-0296-5</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Mean-value at risk portfolio efficiency: approaches based on data envelopment analysis models with negative data and their empirical behaviour

  • Original language description

    We deal with the problem of an investor who is using a mean-risk model for accessing efficiency of investment opportunities. Our investor employs value at risk on several risk levels at the same time which corresponds to the approach called risk shaping. We review several data envelopment analysis (DEA) models which can deal with negative data. We show that a diversification-consistent extension of the DEA models based on a directional distance measure can be used to identify the Pareto-Koopmans efficient investment opportunities. We derive reformulations as chance constrained, nonlinear and mixed-integer problems under particular assumptions. In the numerical study, we access efficiency of US industry representative portfolios based on empirical distribution of random returns. We employ bootstrap and jackknife to investigate the empirical properties of the efficiency estimators.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    BB - Applied statistics, operational research

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GBP402%2F12%2FG097" target="_blank" >GBP402/12/G097: DYME-Dynamic Models in Economics</a><br>

  • Continuities

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

Others

  • Publication year

    2016

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    4OR

  • ISSN

    1619-4500

  • e-ISSN

  • Volume of the periodical

    14

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    DE - GERMANY

  • Number of pages

    23

  • Pages from-to

    77-99

  • UT code for WoS article

    000371043600004

  • EID of the result in the Scopus database

    2-s2.0-84959091798