All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

On the impact of distributional assumptions for operational risk modelling

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F19%3A10242951" target="_blank" >RIV/61989100:27510/19:10242951 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.teknoscienze.com/tks_article/on-the-impact-of-distributional-assumptions-for-operational-risk-modelling/" target="_blank" >https://www.teknoscienze.com/tks_article/on-the-impact-of-distributional-assumptions-for-operational-risk-modelling/</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    On the impact of distributional assumptions for operational risk modelling

  • Original language description

    Operational risk modelling is one of the most challenging risk types due to its serious impact on the health of financial institutions as well as lack of data leading to modelling difficulties. It follows that it is quite hard to get reliable estimate of the probability distribution of risk events, as concerns both, the frequencies and the severity, and simultaneously, there is a need to estimate the risk levels in the tails. In this paper we focus on the case of one financial institution with rather insufficient databases of risk events and try to estimate the risk (in terms of VaR and cVaR) using various kinds of Lévy models. The results show that there can be quite significant differences among weekly- and monthly-aggregated data especially in the tails, though rather simplifying Gaussian distribution does not strongly differ from theoretically more appropriate gamma or Weibull distributions. (C) 2019 TeknoScienze. All rights reserved.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    50200 - Economics and Business

Result continuities

  • Project

    <a href="/en/project/GA13-13142S" target="_blank" >GA13-13142S: Verification of suitability of particular Lévy models for selected issues of financial modeling</a><br>

  • Continuities

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

Others

  • Publication year

    2019

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Chimica Oggi

  • ISSN

    0392-839X

  • e-ISSN

  • Volume of the periodical

    37

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    IT - ITALY

  • Number of pages

    5

  • Pages from-to

    39-43

  • UT code for WoS article

  • EID of the result in the Scopus database

    2-s2.0-85072394742