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Lawrenz, J. Assessing the Estimation Uncertainty of Default Probabilities. Credit and Capital Markets – Kredit und Kapital, 41(2), 217-238. https://doi.org/10.3790/kuk.41.2.217
Lawrenz, Jochen "Assessing the Estimation Uncertainty of Default Probabilities" Credit and Capital Markets – Kredit und Kapital 41.2, 2008, 217-238. https://doi.org/10.3790/kuk.41.2.217
Lawrenz, Jochen (2008): Assessing the Estimation Uncertainty of Default Probabilities, in: Credit and Capital Markets – Kredit und Kapital, vol. 41, iss. 2, 217-238, [online] https://doi.org/10.3790/kuk.41.2.217

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Assessing the Estimation Uncertainty of Default Probabilities

Lawrenz, Jochen

Credit and Capital Markets – Kredit und Kapital, Vol. 41 (2008), Iss. 2 : pp. 217–238

2 Citations (CrossRef)

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Dr. Jochen Lawrenz, Universität Innsbruck, Institut für Banken und Finanzen, Universitätsstraße 15, A-6020 Innsbruck.

Cited By

  1. Default probability estimation in small samples—with an application to sovereign bonds

    Orth, Walter

    Quantitative Finance, Vol. 13 (2013), Iss. 12 P.1891

    https://doi.org/10.1080/14697688.2013.792436 [Citations: 8]
  2. Default Probability Estimation in Small Samples - With an Application to Sovereign Bonds

    Orth, Walter

    SSRN Electronic Journal, Vol. (2011), Iss.

    https://doi.org/10.2139/ssrn.1934808 [Citations: 1]

Abstract

Assessing the Estimation Uncertainty of Default Probabilities

The probability of default (PD) is one of the key variables in credit risk management. By using PD estimates as input to pricing and capital requirement calculations, one should be concerned of how good these estimates are. Confidence intervals are thereby a convenient way to assess the range that covers the true, but unknown parameter with a certain confidence probability. In this paper, we discuss the issues occurring in the construction of confidence intervals for a binomial proportion, and assess the magnitude of estimation uncertainty for exemplary but representative credit portfolios. To give an economic meaning to the range of errors, we translate the PD confidence interval into a risk-weight confidence interval by applying the Basel II IRB approach.

The two main conclusions are: (i) The magnitude of estimation uncertainty can be substantial and is economically relevant. (ii) The choice of confidence interval matters and differences between intervals can be large. (JEL G21, C80)