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
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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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
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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