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Asymptotic stochastic dominance rules for sums of i.i.d. random variables.

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F16%3A86094707" target="_blank" >RIV/61989100:27510/16:86094707 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1016/j.cam.2015.12.017" target="_blank" >http://dx.doi.org/10.1016/j.cam.2015.12.017</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.cam.2015.12.017" target="_blank" >10.1016/j.cam.2015.12.017</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Asymptotic stochastic dominance rules for sums of i.i.d. random variables.

  • Original language description

    In this paper, we deal with stochastic dominance rules under the assumption that the random variables are stable distributed. The stable Paretian distribution is generally used to model a wide range of phenomena. In particular, its use in several applicative areas is mainly justified by the generalized central limit theorem, which states that the sum of a number of i.i.d. random variables with heavy tailed distributions tends to a stable Paretian distribution. We show that the asymptotic behaviour of the tails is fundamental for establishing a dominance in the stable Paretian case. Moreover, we introduce a new weak stochastic order of dispersion, aimed at evaluating whether a random variable is more "risky" than another under condition of maximum uncertainty, and a stochastic order of asymmetry, aimed at evaluating whether a random variable is more or less asymmetric than another. The theoretical results are confirmed by a financial application of the obtained dominance rules. The empirical analysis shows that the weak order of risk introduced in this paper is generally a good indicator for the second order stochastic dominance.

  • 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/GA15-23699S" target="_blank" >GA15-23699S: Risk Probability Functionals and Ordering Theory Applied to International Financial Markets and Portfolio Selection Problems</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

    Journal of computational and applied mathematics

  • ISSN

    0377-0427

  • e-ISSN

  • Volume of the periodical

    300

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    17

  • Pages from-to

    432-448

  • UT code for WoS article

    000371551300031

  • EID of the result in the Scopus database

    2-s2.0-84957560262