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A comparison of estimated default probabilities: Merton model vs. stable Paretian model

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F13%3A86088606" target="_blank" >RIV/61989100:27510/13:86088606 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    A comparison of estimated default probabilities: Merton model vs. stable Paretian model

  • Original language description

    This paper is devoted to an empirical comparison of probabilities of default obtained from two structural type credit risk models: the Merton model and the stable Paretian model. First, we prove on our data that log-normal distributional assumptions of the classical Merton model are generally rejected. Therefore, we propose a more general structural model based on stable non-Gaussian processes as a representative of subordinated models. In the application of the models we use Moody?s KMV methodology anda new extended KMV methodology respectively. Finally, our results suggest that default probabilities obtained from the classical Merton model are underestimated.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    AH - Economics

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

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

Others

  • Publication year

    2013

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Financial Management of Firms and Financial Institutions : 9th international scientific conference : 9th - 10th September 2013, Ostrava, Czech Republic : proceedings. [Part 1-3]

  • ISBN

    978-80-248-3172-5

  • ISSN

    2336-162X

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

    217-226

  • Publisher name

    VŠB-Technical University of Ostrava

  • Place of publication

    Ostrava

  • Event location

    Ostrava

  • Event date

    Sep 9, 2013

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article