Preliminary communication
Binomial model for measuring expected credit losses from trade receivables in non-financial sector entities
Branka Remenarić
orcid.org/0000-0002-5607-4231
; Zagreb School of Economics and Management (ZSEM), Zagreb, Croatia
Ivan Čevizović
orcid.org/0000-0002-2542-2969
; Čevizović Ivan j.t.d., Zagreb, Croatia
Ivana Kenfelja
orcid.org/0000-0001-8525-8059
; Zagreb School of Economics and Management (ZSEM), Zagreb, Croatia
Abstract
In July 2014, the International Accounting Standards Board (IASB) published International Financial Reporting Standard 9 Financial Instruments (IFRS 9). This standard introduces an expected credit loss (ECL) impairment model that applies to financial instruments, including trade and lease receivables. IFRS 9 applies to annual periods beginning on or after 1 January 2018 in the European Union member states.
While the main reason for amending the current model was to require major banks to recognize losses in advance of a credit event occurring, this new model also applies to all receivables, including trade receivables, lease receivables, related party loan receivables in non-financial sector entities.
The new impairment model is intended to result in earlier recognition of credit losses. The previous model described in International Accounting Standard 39 Financial instruments (IAS 39) was based on incurred
losses. One of the major questions now is what models to use to predict expected credit losses in non-financial sector entities. The purpose of this paper is to research the application of the current impairment
model, the extent to which the current impairment model can be modified to satisfy new impairment model requirements and the applicability of the binomial model for measuring expected credit losses from accounts receivable.
Keywords
expected credit loss model; binomial model; IFRS 9; accounts receivable; financial instruments; incurred loss model
Hrčak ID:
201995
URI
Publication date:
20.6.2018.
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