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Contribution to financial distress and default modeling and new 2-D aggregated model - SME case studies

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23510%2F12%3A43915831" target="_blank" >RIV/49777513:23510/12:43915831 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Contribution to financial distress and default modeling and new 2-D aggregated model - SME case studies

  • Original language description

    Financial distress and default modeling represents large and important field of economic research topics. This paper concerns with general structure of such models in form of linear or affine forms built upon data availabe from standard accounting reports. Such general approach helps both to elucidate connections among well-known models, e.g. Altman, Ohlson, Neumaier and other ones, as well as building new models. Using logit transformation we get probabilistic version of Altman Z-score which thus may form one component of a new 2-D aggregated model, whereas the second component is constituted by Ohlson O-score in proper form. These models are used both for extensive analysis and short-term prediction of firm's state. All models are implemented by Mathematica modules and important algorithmic details are presented. Finally, we present and discuss some illustrative results of SME case studies, as well.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    AE - Management, administration and clerical work

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2012

  • 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 30th International Conference Mathematical Methods in Economics

  • ISBN

    978-80-7248-779-0

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    530-535

  • Publisher name

    Silesian University

  • Place of publication

    Karviná

  • Event location

    Karviná

  • Event date

    Sep 11, 2012

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article