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A Tale of Two Banks: When Credit Loss Models Meet Economic Crises

Journal of Accounting Research 2026
Policy makers and researchers are concerned that the expected credit loss (ECL) approach may exacerbate procyclicality. Using administrative loan‐level and firm‐level data in China, we find that banks adopting the ECL model reduced their credit supply and became more prudent in lending decisions after the onset of the COVID‐19 pandemic, compared to banks using the incurred credit loss (ICL) approach. Our findings are more pronounced for banks that experienced greater loan loss provisions induced by ECL and for firms with higher credit risk. The credit contraction persisted throughout our sample period. We further document that firms more exposed to ECL banks experienced larger reductions in loans, assets, liabilities, and revenue after the pandemic began than those more exposed to ICL banks. These findings support the conjecture that the ECL approach may exacerbate procyclicality.

Shadow Banking in a Crisis: Evidence from Fintech During COVID-19

Journal of Financial and Quantitative Analysis 2021 56(7), 2320-2355
We analyze lending by traditional as well as fintech lenders during COVID-19. Comparing samples of fintech and bank loan records across the outbreak, we find that fintech companies are more likely to expand credit access to new and financially constrained borrowers after the start of the pandemic. However, this increased credit provision may not be sustainable; the delinquency rate of fintech loans triples after the outbreak, but there is no significant change in the delinquency of bank loans. Borrowers holding both loan types prioritize the payment of bank loans. These results shed light on the benefits provided by shadow banking in a crisis and hint at the potential fragility of such institutions when delinquency rates spike.