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Does IFRS 9 Increase Banks’ Resilience?

Authors: Kund, Arndt-Gerrit; Rugilo, Daniel;

Does IFRS 9 Increase Banks’ Resilience?

Abstract

IFRS 9 substantially affects the financial sector by changing the impairment methodology for credit losses. This paper analyzes the implications of the change from IAS 39 to IFRS 9 in the context of bank resilience. We shed light on two effects. First, the "cliff-effect", which refers to sudden increases in impairments. It occurred under IAS 39, as credit losses were only recognized with hindsight, and thus late and abruptly. IFRS 9 was designed to mitigate this issue through a staging approach, which gradually recognizes expected credit losses (ECL). These anticipated impairments, however, constitute a significant "front-loading", which is the second effect we investigate. The earlier recognition of losses may adversely impact bank resilience through lower capital levels. In the absence of archival data of IFRS 9 and their potential biases due to the COVID-19 pandemic, we use the European bank stress test results as a natural experiment, in which all banks are subject to the same regulations and exogenous shocks. This characteristic allows us to isolate otherwise immeasurable effects and empirically investigate, whether the conjunction of both effects constitutes a net benefit to banks' resilience. Furthermore, the vigorousness of procyclicality under IFRS 9 can be compared to IAS 39 by contrasting a hypothetical baseline and an adverse scenario.

Related Organizations
Keywords

G28, Impairment, Procyclicality, ddc:330, M41, Bank Stress Test, G21, CET1, E58, M48

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Top 10%
Average
Average
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