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Determination of Credit Risk by the KMV Model

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F17%3A10237570" target="_blank" >RIV/61989100:27510/17:10237570 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Determination of Credit Risk by the KMV Model

  • Original language description

    The topic of the paper is determination of credit risk by the KMV model. KMV is a straightforward extension of the Merton model, whose major advantage is that it removes the assumption that the asset returns are normally-distributed. The main objective of the paper is to estimate a benchmark for the KMV model and to calculate the value of the economic capital of a selected portfolio that consists of ten companies quoted in the Frankfurt Stock Exchange (FSE) by applying the KMV model. The value of economic capital for the portfolio is 870 370 €. Furthermore, the asset return correlations between the fundamental factors derived from the KMV model are presented. According to a series of calculations, the firm specific risk contributes most credit risk in the portfolio.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    50206 - Finance

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

    2017

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    19th International Conference MEKON 2017 : conference proceedings : Ostrava, February 1 - 2 2017

  • ISBN

    978-80-248-4034-5

  • ISSN

  • e-ISSN

    neuvedeno

  • Number of pages

    13

  • Pages from-to

    302-314

  • Publisher name

    VŠB - Technical University of Ostrava

  • Place of publication

    Ostrava

  • Event location

    Ostrava

  • Event date

    Feb 1, 2017

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article