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Quality indexes of predictive models in risk and portfolio management

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F09%3A00036102" target="_blank" >RIV/00216224:14310/09:00036102 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Quality indexes of predictive models in risk and portfolio management

  • Original language description

    For a measurement of partial processes of a financial institution, especially their components like scoring models or other predictive models, it is possible to use quantitative indexes such as Gini index, K-S statistics, Lift and Information statistics.They can be used for comparison of several developed models at the moment of development. It is possible to use them for monitoring of quality of models after the deployment into real business as well. The outcome is then an effective tool to attract new creditworthy customers, and at the same time, control losses. This paper deals with definition of good/bad client, which is crucial for further computations. The main part is devoted to quality indexes based on distribution functions and on density functions. It brings some interesting results connected to Lift in general and for normally distributed data. An application on real data is included too.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    BB - Applied statistics, operational research

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2009

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    IMAEF 2009 Proceedings

  • ISBN

    978-960-233-196-5

  • ISSN

    1791-9800

  • e-ISSN

  • Number of pages

    12

  • Pages from-to

  • Publisher name

    Department of Economics, University of Ioannina

  • Place of publication

    Ioannina, Greece

  • Event location

    Ioannina, Greece

  • Event date

    Jun 11, 2009

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article