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Loan loss provision models in Brazilian banks

Fernando Galdi, André De Moura and Robson França

Meditari Accountancy Research, 2021, vol. 29, issue 6, 1473-1491

Abstract: Purpose - This paper investigates which loan loss provision (LLP) model [International Accounting Standards39 (IAS39) based on incurred losses and Brazilian Central Bank Generally Accepted Accounting Principles (GAAP) based on a mixed model] presents higher quality in terms of predictability, and which model is less susceptible to earnings management practices using LLP. Design/methodology/approach - To test the difference between the explanatory power of the mixed model and incurred loss model in explaining the LLP, this paper runs a two-stage fixed-effect panel regression model to evaluate the association between LLP of each model and variables representatives of non-discretionary aspects related to the quality of the loan portfolio, business cycles and qualitative evidence indicated in each GAAP. Then, this paper tests the relationship between the errors generated in each regression and the discretion of bank managers and banks’ characteristics. Findings - This paper finds that the mixed model results in higher R2 demonstrating that the number produced under this regime is more related to observable variables than the number produced under the incurred losses model. Further, this paper finds no evidence that there is a difference in earnings management between the two standards and this paper does not find that banks manage earnings through regulatory capital. Nevertheless, this paper finds that earnings management is higher in private than in listed banks. Originality/value - This paper takes advantage of the unique feature of the Brazilian Central Bank regulation to investigate the impact of two different accounting standards on LLP in a perfect setting.

Keywords: Impairment; Expected losses; Incurred losses; Loan loss provision (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:eme:medarp:medar-04-2020-0851

DOI: 10.1108/MEDAR-04-2020-0851

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