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Risk Measures via Heavy Tails

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F12%3A00377917" target="_blank" >RIV/67985556:_____/12:00377917 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Risk Measures via Heavy Tails

  • Original language description

    Economic and financial activities are often influenced simultaneously by a decision parameter and a randon factor. Since mostly it is necessary to determine the decision parameter without knowledge of a random element realization, deterministic optimization problems depending on a probability measure correspond often to such situations. In aplications very often the problem has to be solved on the data basis. Great effort has been paid to investigate properties of these (empirical) estimates; mostly under assumptions of ``thin" tails and a linear dependence on the probability measure. The aim of the contribution is to focus on the cases when these assumptions are not fulfilled. This happens usually in economic and financial applications.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    BB - Applied statistics, operational research

  • OECD FORD branch

Result continuities

  • Project

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

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2012

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Quantitative Methods in Economics (Multiple Criteria Decision Making XVI)

  • ISBN

    978-80-225-3426-0

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    115-119

  • Publisher name

    Vydavatelstvo EKONÓM

  • Place of publication

    Bratislava

  • Event location

    Bratislava

  • Event date

    May 30, 2012

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article

    000307520000020