IDEAS home Printed from https://ideas.repec.org/a/bla/acctfi/v49y2009i3p425-444.html
   My bibliography  Save this article

Transitional credit modelling and its relationship to market value at risk: an Australian sectoral perspective

Author

Listed:
  • David E. Allen
  • Robert Powell

Abstract

Internal credit risk modelling is important for banks for the calculation of capital adequacy in terms of the Basel Accords, and for the management of sectoral exposure. We examine Credit Value at Risk (VaR), Conditional Credit Value at Risk (Credit CVaR) and the relationship between market and credit risk. Significant association is found between different Credit CVaR methods, and between market and credit risk. Simpler Credit CVaR methods are found to be viable alternatives to more complex methodology. The relationship between market and credit risk is used to develop a new model that allows banks to incorporate industry risk into transition modelling, without macroeconomic analysis. Copyright (c) The Authors. Journal compilation (c) 2009 AFAANZ.

Suggested Citation

  • David E. Allen & Robert Powell, 2009. "Transitional credit modelling and its relationship to market value at risk: an Australian sectoral perspective," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 49(3), pages 425-444.
  • Handle: RePEc:bla:acctfi:v:49:y:2009:i:3:p:425-444
    as

    Download full text from publisher

    File URL: http://www.blackwell-synergy.com/doi/abs/10.1111/j.1467-629X.2009.00294.x
    File Function: link to full text
    Download Restriction: Access to full text is restricted to subscribers.

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Allen, David E & Powell, Robert, 2008. "Structural Credit Modelling and Its Relationship to Market Value at Risk: An Australian Sectoral Perspective," MPRA Paper 47206, University Library of Munich, Germany.
    2. repec:blg:reveco:v:69:y:2017:i:3:p:19-28 is not listed on IDEAS
    3. Henry Asante Antwi & Zhou Lulin & Ethel Yiranbon & James Onuche Ayegba & Mary-Ann Yebaoh & Emmanuel Osei Bonsu, 2014. "Risk Modelling in Healthcare Markets: a Comparative Analysis of three Risk Measurement Approaches," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 4(2), pages 271-281, April.
    4. Allen, D.E. & Kramadibrata, A.R. & Powell, R.J. & Singh, A.K., 2013. "Modelling tail credit risk using transition matrices," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 93(C), pages 67-75.
    5. Allen, D.E. & Powell, R.J. & Singh, A.K., 2016. "Take it to the limit: Innovative CVaR applications to extreme credit risk measurement," European Journal of Operational Research, Elsevier, vol. 249(2), pages 465-475.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:acctfi:v:49:y:2009:i:3:p:425-444. 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: (Wiley-Blackwell Digital Licensing) or (Christopher F. Baum). General contact details of provider: http://edirc.repec.org/data/aaanzea.html .

    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.

    We have no references for this item. You can help adding them by using 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 RePEc Author Service 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.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.