A Hypothesis Test for the Long-Term Calibration in Rating Systems with Overlapping Time Windows

Kurth P, Nendel M, Streicher J (2024)
Risks 12(8): 131.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
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Abstract / Bemerkung

We present a statistical test for the long-term calibration in rating systems that can deal with overlapping time windows as required by the guidelines of the European Banking Authority (EBA), which apply to major financial institutions in the European System. In accordance with regulation, rating systems are to be calibrated and validated with respect to the long-run default rate. The consideration of one-year default rates on a quarterly basis leads to correlation effects which drastically influence the variance of the long-run default rate. In a first step, we show that the long-run default rate is approximately normally distributed. We then perform a detailed analysis of the correlation effects caused by the overlapping time windows and solve the problem of an unknown distribution of default probabilities.

Stichworte
hypothesis test; credit risk; rating system; validation; backtesting; long-run default rate; EBA guidelines; correlation effects
Erscheinungsjahr
2024
Zeitschriftentitel
Risks
Band
12
Ausgabe
8
Art.-Nr.
131
eISSN
2227-9091
Finanzierungs-Informationen
Open-Access-Publikationskosten wurden durch die Universität Bielefeld gefördert.
Page URI
https://pub.uni-bielefeld.de/record/2992252

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Kurth P, Nendel M, Streicher J. A Hypothesis Test for the Long-Term Calibration in Rating Systems with Overlapping Time Windows. Risks. 2024;12(8): 131.
Kurth, P., Nendel, M., & Streicher, J. (2024). A Hypothesis Test for the Long-Term Calibration in Rating Systems with Overlapping Time Windows. Risks, 12(8), 131. https://doi.org/10.3390/risks12080131
Kurth, Patrick, Nendel, Max, and Streicher, Jan. 2024. “A Hypothesis Test for the Long-Term Calibration in Rating Systems with Overlapping Time Windows”. Risks 12 (8): 131.
Kurth, P., Nendel, M., and Streicher, J. (2024). A Hypothesis Test for the Long-Term Calibration in Rating Systems with Overlapping Time Windows. Risks 12:131.
Kurth, P., Nendel, M., & Streicher, J., 2024. A Hypothesis Test for the Long-Term Calibration in Rating Systems with Overlapping Time Windows. Risks, 12(8): 131.
P. Kurth, M. Nendel, and J. Streicher, “A Hypothesis Test for the Long-Term Calibration in Rating Systems with Overlapping Time Windows”, Risks, vol. 12, 2024, : 131.
Kurth, P., Nendel, M., Streicher, J.: A Hypothesis Test for the Long-Term Calibration in Rating Systems with Overlapping Time Windows. Risks. 12, : 131 (2024).
Kurth, Patrick, Nendel, Max, and Streicher, Jan. “A Hypothesis Test for the Long-Term Calibration in Rating Systems with Overlapping Time Windows”. Risks 12.8 (2024): 131.
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2024-09-02T08:48:50Z
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