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Through-the-cycle to Point-in-time Probabilities of Default Conversion: Inconsistencies in the Vasicek Approach

Author

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  • L. J. Basson

    (School of Economics and Finance, University of the Witwatersrand, 1 Jan Smuts Ave, Braamfontein, Johannesburg, 2000, South Africa.)

  • Gary van Vuuren

    (School of Economics and Finance, University of the Witwatersrand, 1 Jan Smuts Ave, Braamfontein, Johannesburg, 2000, South Africa.)

Abstract

While regulators generate and advocate the use of through the cycle (TtC) probabilities of default (PDs) for regulatory capital calculations, accounting standards (such as IFRs9) require organisations to use point in time (PiT) PDs. TtC PDs are based on long-term average conditions and do not adequately capture current credit risk conditions, underestimating credit losses during economic downturns or periods of financial stress. PiT PDs reflect the specific risk conditions prevailing at a given moment in time and provide a more granular assessment of credit risk. While many techniques measure PiT PDs directly, mathematical approaches also exist which convert TtC PDs into PiT PDs. PiT PDs are also routinely forecasted, projected into the future to allow estimation of the present value of future possible credit-related losses. Vasicek’s (1987) model is in common use for this purpose. Using a stylistic range of possible input values for Vasicek’s model, loan credit quality is found to be differentially affected (improving for some and deteriorating for others) for some of these values. This is counterintuitive and reflects a functional flaw in the model.

Suggested Citation

  • L. J. Basson & Gary van Vuuren, 2023. "Through-the-cycle to Point-in-time Probabilities of Default Conversion: Inconsistencies in the Vasicek Approach," International Journal of Economics and Financial Issues, International Journal of Economics and Financial Issues, vol. 13(6), pages 42-52, November.
  • Handle: RePEc:eco:journ1:2023-06-6
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    References listed on IDEAS

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    1. Eva Catarineu-Rabell & Patricia Jackson & Dimitrios Tsomocos, 2005. "Procyclicality and the new Basel Accord - banks’ choice of loan rating system," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 26(3), pages 537-557, October.
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    Cited by:

    1. Barbara Domotor & Ferenc Ill'es, 2025. "Through-the-Cycle PD Estimation Under Incomplete Data -- A Single Risk Factor Approach," Papers 2508.15651, arXiv.org.
    2. Ján Boháčik, 2025. "Incorporating macroeconomic conditions into corporate probability of default under IFRS 9," Journal of Banking Regulation, Palgrave Macmillan, vol. 26(4), pages 760-785, December.

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    JEL classification:

    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • G1 - Financial Economics - - General Financial Markets
    • M41 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Accounting

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