Processing forward-looking loan loss provisions: evidence from the adoption of the CECL model
Authors
Issue Date
9-Jun-2026
Physical description
63 p.
Abstract
En este documento se analiza el impacto del modelo de pérdida crediticia esperada (Current Expected Credit Loss, CECL) sobre la eficiencia con la que los inversores en renta variable procesan los anuncios de resultados de los bancos. Una de las principales preocupaciones asociadas a este modelo es el aumento de la complejidad de las provisiones por pérdidas crediticias, lo que podría dificultar su interpretación. Mediante una metodología de diferencias en diferencias, los resultados muestran que la adopción del modelo CECL reduce la eficiencia con la que los inversores procesan los anuncios de resultados bancarios. Este efecto es más pronunciado cuando las provisiones están impulsadas por la concesión de nuevos préstamos, en línea con la idea de que el modelo CECL introduce un desajuste temporal entre el reconocimiento de pérdidas y el de ingresos, ya que las pérdidas esperadas se reconocen en el momento de la concesión del préstamo mientras que los ingresos por intereses se devengan a lo largo de su vida. En conjunto, los resultados indican que los inversores afrontan mayores costes de procesamiento al interpretar los anuncios de resultados bancarios bajo el modelo CECL.
This paper examines the impact of the Current Expected Credit Loss (CECL) model on the efficiency with which equity investors process banks’ earnings announcements. A potential concern with CECL is that it increases the complexity of loan loss provisions. I examine whether this added complexity impairs investors’ ability to efficiently process earnings announcements. Using a difference-in-differences methodology, I find that CECL reduces investors’ processing efficiency during banks’ earnings announcements. The effect is stronger when provisions are driven by the origination of new loans. This finding is consistent with the idea that CECL introduces a timing mismatch between loss and revenue recognition—provisions for expected losses are recognized at loan origination while interest income accrues over the life of the loan—making it harder for investors to interpret the valuation implications of provisions. Collectively, my results show that equity investors face higher processing costs when interpreting banks’ earnings announcements under CECL.
This paper examines the impact of the Current Expected Credit Loss (CECL) model on the efficiency with which equity investors process banks’ earnings announcements. A potential concern with CECL is that it increases the complexity of loan loss provisions. I examine whether this added complexity impairs investors’ ability to efficiently process earnings announcements. Using a difference-in-differences methodology, I find that CECL reduces investors’ processing efficiency during banks’ earnings announcements. The effect is stronger when provisions are driven by the origination of new loans. This finding is consistent with the idea that CECL introduces a timing mismatch between loss and revenue recognition—provisions for expected losses are recognized at loan origination while interest income accrues over the life of the loan—making it harder for investors to interpret the valuation implications of provisions. Collectively, my results show that equity investors face higher processing costs when interpreting banks’ earnings announcements under CECL.
Publish on
Documentos de Trabajo / Banco de España, 2617
Subjects
Modelo CECL; Anuncio de resultados; Eficiencia de procesamiento de los inversores; CECL model; Earnings announcement; Investor processing efficiency
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