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Incorporating prediction and estimation risk in point-in-time credit portfolio models

Author

Listed:
  • Hamerle, Alfred
  • Knapp, Michael
  • Liebig, Thilo
  • Wildenauer, Nicole

Abstract

In this paper we focus on the analysis of the effect of prediction and estimation risk on the loss distribution, risk measures and economic capital. When variables for the determination of probability of default and loss distribution have to be predicted because they are not available at the time the prediction is made, the prediction is prone to errors. The model parameters for the estimation of probability of default or asset correlation are not available, and usually have to be estimated using historical data. The incorporation of prediction and estimation risk generally leads to broader loss distributions and therefore to rising values of risk parameters such as Value at Risk or Expected Shortfall. The level of economic capital required may be strongly underestimated if prediction and estimation risk are ignored.

Suggested Citation

  • Hamerle, Alfred & Knapp, Michael & Liebig, Thilo & Wildenauer, Nicole, 2005. "Incorporating prediction and estimation risk in point-in-time credit portfolio models," Discussion Paper Series 2: Banking and Financial Studies 2005,13, Deutsche Bundesbank.
    • Handle: RePEc:zbw:bubdp2:4268
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    References listed on IDEAS

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    5. Hamerle, Alfred & Liebig, Thilo & Scheule, Harald, 2004. "Forecasting Credit Portfolio Risk," Discussion Paper Series 2: Banking and Financial Studies 2004,01, Deutsche Bundesbank.
    6. Falko Fecht & Kevin X. D. Huang & Antoine Martin, 2008. "Financial Intermediaries, Markets, and Growth," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(4), pages 701-720, June.
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    Cited by:

    1. Dannenberg, Henry, 2011. "The Importance of Estimation Uncertainty in a Multi-Rating Class Loan Portfolio," IWH Discussion Papers 11/2011, Halle Institute for Economic Research (IWH).
    2. Dannenberg, Henry, 2009. "Berücksichtigung von Schätzunsicherheit bei der Kreditrisikobewertung: Vergleich des Value at Risk der Verlustverteilung des Kreditrisikos bei Verwendung von Bootstrapping und einem asymptotischen Ans," IWH Discussion Papers 3/2009, Halle Institute for Economic Research (IWH).

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    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General

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