IDEAS home Printed from https://ideas.repec.org/a/taf/eurjfi/v14y2008i5p359-379.html
   My bibliography  Save this article

Forecasting credit migration matrices with business cycle effects—a model comparison

Author

Listed:
  • Stefan Truck

Abstract

Migration matrices are considered a major determinant for credit risk management. They are widely used for credit value-at-risk determination, portfolio management or derivative pricing. It is well known that migration matrices show strong variations and cyclical behavior through time. We compare a factor model approach and numerical adjustment methods for estimation and forecasting of conditional migration matrices. Our findings show that the methods may lead to quite different forecasting results. Although the numerical adjustment methods fail to outperform the naive approach of taking previous year's migration matrix as an estimator, the one-factor model provides significantly better in-sample and out-of-sample results. Additionally, on the basis of a chosen risk-sensitive goodness-of-fit criteria, we are able to interpret the results in terms of risk.

Suggested Citation

  • Stefan Truck, 2008. "Forecasting credit migration matrices with business cycle effects—a model comparison," The European Journal of Finance, Taylor & Francis Journals, vol. 14(5), pages 359-379.
  • Handle: RePEc:taf:eurjfi:v:14:y:2008:i:5:p:359-379 DOI: 10.1080/13518470701773635
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1080/13518470701773635
    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.

    References listed on IDEAS

    as
    1. Pierre Perron & Gabriel RodrÌguez, 2003. "Searching For Additive Outliers In Nonstationary Time Series," Journal of Time Series Analysis, Wiley Blackwell, vol. 24(2), pages 193-220, March.
    2. Guillermo A. Calvo & Leonardo Leiderman & Carmen M. Reinhart, 1996. "Inflows of Capital to Developing Countries in the 1990s," Journal of Economic Perspectives, American Economic Association, pages 123-139.
    3. Guillermo A. Calvo & Carmen M. Reinhart, 2002. "Fear of Floating," The Quarterly Journal of Economics, Oxford University Press, vol. 117(2), pages 379-408.
    4. Joshua Aizenman & Nancy Marion, 2004. "International Reserve Holdings with Sovereign Risk and Costly Tax Collection," Economic Journal, Royal Economic Society, vol. 114(497), pages 569-591, July.
    5. Banerjee, A. & Marcellino, M. & Osbat, C., 2000. "Some Cautions on the Use of Panel Methods for Integrated Series of Macro-economic Data," Economics Working Papers eco2000/20, European University Institute.
    6. Frenkel, Jacob A, 1974. "The Demand for International Reserves by Developed and Less-Developed Countries," Economica, London School of Economics and Political Science, vol. 41(161), pages 14-24, February.
    7. Henrik Hansen & Søren Johansen, 1999. "Some tests for parameter constancy in cointegrated VAR-models," Econometrics Journal, Royal Economic Society, vol. 2(2), pages 306-333.
    8. Graham Bird & Ramkishen Rajan, 2003. "Too Much of a Good Thing? The Adequacy of International Reserves in the Aftermath of Crises," The World Economy, Wiley Blackwell, vol. 26(6), pages 873-891, June.
    9. Christian B. Mulder & Matthieu Bussière, 1999. "External Vulnerability in Emerging Market Economies; How High Liquidity Can Offset Weak Fundamentals and the Effects of Contagion," IMF Working Papers 99/88, International Monetary Fund.
    10. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501.
    11. Serena Ng & Pierre Perron, 2001. "LAG Length Selection and the Construction of Unit Root Tests with Good Size and Power," Econometrica, Econometric Society, vol. 69(6), pages 1519-1554, November.
    12. Louise Grogan & Gerard J. van den Berg, 2001. "The duration of unemployment in Russia," Journal of Population Economics, Springer;European Society for Population Economics, pages 549-568.
    13. Heino Bohn Nielsen, 2004. "Cointegration analysis in the presence of outliers," Econometrics Journal, Royal Economic Society, vol. 7(1), pages 249-271, June.
    14. Frenkel, Jacob A & Jovanovic, Boyan, 1981. "Optimal International Reserves: A Stochastic Framework," Economic Journal, Royal Economic Society, vol. 91(362), pages 507-514, June.
    15. Ashoka Mody & Mark Taylor & Jung Yeon Kim, 2001. "Forecasting capital flows to emerging markets: a Kalman filtering approach," Applied Financial Economics, Taylor & Francis Journals, pages 581-589.
    16. M. Bahmani-Oskooee & F. Brown, 2002. "Demand for international reserves: a review article," Applied Economics, Taylor & Francis Journals, vol. 34(10), pages 1209-1226.
    17. Anindya Banerjee & Massimiliano Marcellino & Chiara Osbat, 2004. "Some cautions on the use of panel methods for integrated series of macroeconomic data," Econometrics Journal, Royal Economic Society, vol. 7(2), pages 322-340, December.
    18. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    19. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Dimitris Gavalas & Theodore Syriopoulos, 2014. "Bank Credit Risk Management and Rating Migration Analysis on the Business Cycle," International Journal of Financial Studies, MDPI, Open Access Journal, vol. 2(1), pages 1-22, March.

    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:taf:eurjfi:v:14:y:2008:i:5:p:359-379. 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: (Chris Longhurst). General contact details of provider: http://www.tandfonline.com/REJF20 .

    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.