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SSRN Electronic Journal
Article . 2019 . Peer-reviewed
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Experimental Evidence on the Impact of Replacing the Incurred Credit Loss Model of Bank Loan Loss Provisions with the International or US Accounting Standards Boards’ Expected Credit Loss Models

Authors: Mohamed Gomaa; Kiridaran Kanagaretnam; Stuart Mestelman; Mohamed Shehata;

Experimental Evidence on the Impact of Replacing the Incurred Credit Loss Model of Bank Loan Loss Provisions with the International or US Accounting Standards Boards’ Expected Credit Loss Models

Abstract

Our objective is to test-bed the new Expected Credit Loss (ECL) and Current Expected Credit Loss (CECL) models for bank credit loss accounting to identify the potential consequences of their implementation. In particular, whether and how ECL and CECL approaches could lead to divergence in credit loss accounting practices in the U.S. relative to the rest of the world is an unanswered question. To do this, we develop a stylized bank-loan setting in a controlled laboratory environment with eight different secured personal-loan portfolios. Fifty-six senior accounting students take the role of loan managers responsible for making annual loan-loss reserve decisions in a between-subjects design under the rules of either the ECL or CECL models. We examine the effects of mandating the ECL or CECL model in terms of their impacts on the adequacy of loan-loss reserves, the comparability and predictability of loan-loss reserves and the volatility of reported profit.

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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!
0
Average
Average
Average
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