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Stability, Empirical Estimates and Scenario Generation in Stochastic Optimization - Applications in Finance

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F17%3A00485151" target="_blank" >RIV/67985556:_____/17:00485151 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.14736/kyb-2017-6-1026" target="_blank" >http://dx.doi.org/10.14736/kyb-2017-6-1026</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.14736/kyb-2017-6-1026" target="_blank" >10.14736/kyb-2017-6-1026</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Stability, Empirical Estimates and Scenario Generation in Stochastic Optimization - Applications in Finance

  • Original language description

    Economic and financial processes are mostly simultaneously influuenced by a random factor and a decision parameter. While the random factor can be hardly influenced, the decision parameter can be usually determined by a deterministic optimization problem depending on a corresponding probability measure. However, in applications the „underlying“ probability measure is often a little different, replaced by empirical one determined on the base of data or even (for numerical reason) replaced by simpler (mostly discrete) one. Consequently, real one and approximate one correspond to applications. In the paper we try to investigate their relationship. To this end we employ the results on stability based on the Wasserstein metric and L1 norm, their applications to empirical estimates and scenario generation. Moreover, we apply the achieved new results to simple financial applications. The corresponding model will a problem of stochastic programming.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10103 - Statistics and probability

Result continuities

  • Project

    <a href="/en/project/GA15-10331S" target="_blank" >GA15-10331S: Dynamic modeling of mortgage porkredtfolio risk</a><br>

  • Continuities

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

Others

  • Publication year

    2017

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Kybernetika

  • ISSN

    0023-5954

  • e-ISSN

  • Volume of the periodical

    53

  • Issue of the periodical within the volume

    6

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    21

  • Pages from-to

    1026-1046

  • UT code for WoS article

    000424732300005

  • EID of the result in the Scopus database

    2-s2.0-85040725398