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Modeling a distribution of mortgage credit losses

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F10%3A00347639" target="_blank" >RIV/67985556:_____/10:00347639 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Modeling a distribution of mortgage credit losses

  • Original language description

    One of the biggest risks arising from financial operations is the risk of counterparty default, commonly known as a ?credit risk. Leaving unmanaged, the credit risk would, with a high probability, result in a crash of a bank. In our paper, we will focuson the credit risk quantification methodology. We will demonstrate that the current regulatory standards for credit risk management are at least not perfect, despite the fact that the regulatory framework for credit risk measurement is more developed than systems for measuring other risks, e.g. market risks or operational risk. Generalizing the well known KMV model, standing behind Basel II, we build a model of a loan portfolio involving a dynamics of the common factor, influencing the borrowers? assets, which we allow to be non-normal. We show how the parameters of our model may be estimated by means of past mortgage deliquency rates.

  • 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

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2010

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of the 28th International Conference on Mathematical Methods in Economics 2010

  • ISBN

    978-80-7394-218-2

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

  • Publisher name

    University of South Bohemia

  • Place of publication

    České Budějovice

  • Event location

    České Budějovice

  • Event date

    Sep 8, 2010

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article