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Accounting Treatment of Credit Loss Allowances Amid COVID-19: Current Expected Credit Loss (CECL) Versus IFRS 9 Expected Credit Loss (ECL)

Authors: Dirk Beerbaum Dr.;

Accounting Treatment of Credit Loss Allowances Amid COVID-19: Current Expected Credit Loss (CECL) Versus IFRS 9 Expected Credit Loss (ECL)

Abstract

Shortly before the COVID-19 crisis emerged worldwide accounting standard boards reformed the accounting requirements for the modeling and the accounting of credit loss allowances. The Financial Standards Board (FASB) issues new requirements effective 2020 and the International Accounting Standards Board (IASB) IFRS 9 becoming effective 2018. The crisis possible evolving from COVID-19 will be the first Locums test for the recent set-up expected credit loss model, which originally emerged out of another crisis the Global Financial Crisis in 2009. This article will provide an overview of this new expected credit loss model. This paper starts with a synopsis and explains main differences of the new credit models. The main conclusion is that the expected credit loss model although reflecting management approach the model once implemented must be mandatorily steadily pursued without change. All available information management is aware must be incorporated into the model. Therefore, companies cannot increase credit loss allowance based on prudence principle, but the change of macroeconomic outlook is a main driver of the credit model.

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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!
2
Average
Average
Average
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