Financial governance: the Brazilian experience on prudential regulation and its impacts on the effects of the 2008 financial crisis

The Brazilian economy was severely hit by the 2008 crisis. In the beginning of the crisis, the vast majorities of the economic agents and authorities thought that Brazil could face some sort of decoupling since some macroeconomic fundamentals were very good. What we saw, however, was that the Brazilian economy was not decoupled, and expectations faced a huge deterioration soon after the bankruptcy of Lehman Brothers in September 15th. Two aspects regarding the impact of crisis in Brazil, however, deserve a great deal of attention: (a) although deep, the impact did not last for a long time. Actually, the GDP growth experienced a good recovery in the second quarter of 2009, showing that the health of the Brazilian economy was good; (b) the Brazilian banking system performed very well during the crisis, although we cannot say the system was not in danger in the worst time of the crisis. In spite of the confidence crisis faced by the banking system 1, it showed a great deal of resilience. In this aspect, we argue that the restructure faced by the banking system in the aftermath of the Real Plan, as well as the development of a solid supervision regulation helped a lot the system to avoid the systemic crisis that was an open possibility to the Brazilian banking system in the end of 2008. These notes, thus, discusse why the Brazilian banking system performed pretty well in the 2008 financial crisis and how the Brazilian banking (and prudential) regulation can be taken as responsible for this good performance. More specifically, the paper back to the middle of the 1990s, when the Real Plan was implemented, in order to understand the role played by the restructuring of the Brazilian financial system in helping to pave the way to the great resilience experienced by the Brazilian banking system during the 2008 crisis. More specifically, the prudential regulation that was implemented in Brazil in the aftermath of the Real Plan seems to play a decisive role in the resilience of the system nowadays.

Effects of the real plan of the Brazilian banking system

The aim of this paper is to assess the progress of the banking sector before and shortly after the Real Plan. We began by assessing the drop in the inflation revenues (negative real interest rates paid by the excess of demand deposits over total reserve requirements) as a result of the change in inflation from 40% a month for the pre-Real Plan period to a monthly average of 3.65% (IGP-DI), between July 1994 and May 1995. Then, using the financial statement data of a group of 90 banks, we attempt to estimate the net losses due to the inflation drop analyzing the profitability and other parameters of the banking industry. The calculations are made separately for private, state and federal banks. A later analysis on performance using information given to CVM (Securities Exchange Commission) by the six major private banks in the country is also discussed herein.

Factors affecting the technical efficiency of production of the Brazilian banking system : a comparison of four statistical models in the context of data envelopment analysis

This paper uses an output oriented Data Envelopment Analysis (DEA) measure of technical efficiency to assess the technical efficiencies of the Brazilian banking system. Four approaches to estimation are compared in order to assess the significance of factors affecting inefficiency. These are nonparametric Analysis of Covariance, maximum likelihood using a family of exponential distributions, maximum likelihood using a family of truncated normal distributions, and the normal Tobit model. The sole focus of the paper is on a combined measure of output and the data analyzed refers to the year 2001. The factors of interest in the analysis and likely to affect efficiency are bank nature (multiple and commercial), bank type (credit, business, bursary and retail), bank size (large, medium, small and micro), bank control (private and public), bank origin (domestic and foreign), and non-performing loans. The latter is a measure of bank risk. All quantitative variables, including non-performing loans, are measured on a per employee basis. The best fits to the data are provided by the exponential family and the nonparametric Analysis of Covariance. The significance of a factor however varies according to the model fit although it can be said that there is some agreements between the best models. A highly significant association in all models fitted is observed only for nonperforming loans. The nonparametric Analysis of Covariance is more consistent with the inefficiency median responses observed for the qualitative factors. The findings of the analysis reinforce the significant association of the level of bank inefficiency, measured by DEA residuals, with the risk of bank failure.