Anders Kärnä () and Karin Östling Svensson
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Anders Kärnä: Financial Stability Department, Central Bank of Sweden, Postal: Research Institute of Industrial Economics (IFN)
Karin Östling Svensson: Financial Stability Department, Central Bank of Sweden, Postal: Sveriges Riksbank, SE-103 37 Stockholm, Sweden
Abstract: This paper examines how accurately Swedish banks’ internal probability of default (PD) models under IFRS 9 accounting rules predict changes in the borrowing firms’ credit risk levels. Using a sample of matched bank lending and firm-level data, we find that PDs align well with aggregate transitions to an elevated risk level, but explain little of the variation across individual borrowers. Lending rates, in contrast, provide limited information on moderate distress levels but are more predictive of severe credit events. The findings suggest that PDs capture both risk assessment and accounting conventions in a non-linear and complex pattern, highlighting the importance of combining regulatory and market-based indicators when monitoring credit risk.
Keywords: Probability of Default; Bankruptcy; Financial Distress
Language: English
38 pages, December 1, 2025
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