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Determining the Target Variable in Credit Scoring Models

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F13%3A00068765" target="_blank" >RIV/00216224:14310/13:00068765 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.5176/2251-3388_" target="_blank" >http://dx.doi.org/10.5176/2251-3388_</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.5176/2251-3388_" target="_blank" >10.5176/2251-3388_</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Determining the Target Variable in Credit Scoring Models

  • Original language description

    Determination the target variable is the crucial point in the whole development process of credit scoring models, which are an essential part of risk management. Usually some Good/Bad definition is applied. In this paper we study the effect of use of indeterminate value of target variable. We explain the basic principles of logistic regression modelling and definition of the target variable. Next, the focus is given to introduction of some of the widely used statistics for model assessment. The main part of the paper is devoted to development and assessment of several credit scoring models on real credit data, which are built up and assessed according various definitions of target variable. We show that there is a valid reason for some target definitions to include the indeterminate value into the modelling process, as it provided us with convincing results.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    BB - Applied statistics, operational research

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2013

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    The GSTF Journal of Mathematics, Statistics and Operations Research

  • ISSN

    2251-3388

  • e-ISSN

  • Volume of the periodical

    2

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    IN - INDIA

  • Number of pages

    6

  • Pages from-to

    125-130

  • UT code for WoS article

  • EID of the result in the Scopus database