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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.

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This research investigates the impact of changes in debt ratios of Brazilian firms due to the IFRS adoption. We make a comparison between the forecast of the time-series of debt ratios accounted until 2007 for the span from 2008 to the first quarter of 2015 with those effectively accounted from 2008 to the first quarter of 2015 derived from the new accounting standard. The research utilizes SARIMAX model and Chow's (1960) structural break forecast test, controlling for changes originating from the macroeconomic environment as well. We find evidence of significant changes in the debt ratio towards both higher and lower debt with predominance of greater ratios. This result is consistent with past literature in Europe, Australia and New Zealand. Nevertheless, we do not find evidence of a structural break in the Financial Dependency ratio. Moreover, there is no evidence of any distinct effects across different industries. The research provides new evidence confirming the informational effects of IFRS by utilizing a robust time-series model with macroeconomic controls in an innovative approach towards the accounting environment.