Advanced Search
MyIDEAS: Login to save this paper or follow this series

Time will tell: Behavioural Scoring and the Dynamics of Consumer Credit Assessment


Author Info

  • Thomas, L.C.
  • Ho, J.
  • Scherer, W.T.
Registered author(s):


    This paper discusses the use of dynamic modelling in consumer credit risk assessment. It surveys the approaches and objectives of behavioural scoring, customer scoring and profit scoring. It then investigates how Markov chain stochastic processes can be used to model the dynamics of the delinquency status and behavioural scores of consumers.

    Download Info

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below under "Related research" whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Bibliographic Info

    Paper provided by University of Southampton - Department of Accounting and Management Science in its series Papers with number 01-174.

    as in new window
    Length: 32 pages
    Date of creation: 2001
    Date of revision:
    Handle: RePEc:fth:sotoam:01-174

    Contact details of provider:
    Postal: University of Southampton, Department of Accounting & Mangement Science, Southampton S09 5NH UK.
    Phone: 44 0173 592537/592555
    Fax: 44 0173 593858
    Web page:
    More information through EDIRC

    Order Information:

    Related research

    Keywords: RISK ; CONSUMERS ; CREDIT;

    Find related papers by JEL classification:


    No references listed on IDEAS
    You can help add them by filling out this form.


    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as in new window

    Cited by:
    1. Régis, Daniel E. & Artes, Rinaldo, 2008. "Modelo Multi-Estado de Markov em Cartões de Crédito," Insper Working Papers wpe_129, Insper Working Paper, Insper Instituto de Ensino e Pesquisa.
    2. So, Meko M.C. & Thomas, Lyn C., 2011. "Modelling the profitability of credit cards by Markov decision processes," European Journal of Operational Research, Elsevier, vol. 212(1), pages 123-130, July.
    3. G. Verstraeten & D. Van Den Poel, 2004. "The Impact of Sample Bias on Consumer Credit Scoring Performance and Profitability," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 04/232, Ghent University, Faculty of Economics and Business Administration.
    4. Bellotti, Tony & Crook, Jonathan, 2013. "Forecasting and stress testing credit card default using dynamic models," International Journal of Forecasting, Elsevier, vol. 29(4), pages 563-574.
    5. Finlay, Steven, 2011. "Multiple classifier architectures and their application to credit risk assessment," European Journal of Operational Research, Elsevier, vol. 210(2), pages 368-378, April.


    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.


    Access and download statistics


    When requesting a correction, please mention this item's handle: RePEc:fth:sotoam:01-174. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Thomas Krichel).

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.