A Macro Stress Test Model of Credit Risk for the Brazilian Banking Sector

36 Pages Posted: 30 Nov 2010

See all articles by Francisco Vazquez

Francisco Vazquez

International Monetary Fund

Benjamin M. Tabak

FGV/EPPG

Marcos Rietti Souto

affiliation not provided to SSRN

Date Written: November 30, 2010

Abstract

This paper proposes a model to conduct macro stress test of credit risk for the banking system based on scenario analysis. We employ an original bank-level data set that splits bank credit portfolios in 21 granular categories, encompassing household and corporate loans. The results corroborate the presence of a strong procyclical behavior of credit quality, and show a robust negative relationship between (the logistic transformation of non-performing loans (NPLs) and GDP growth, with a lag response up to three quarters. The results also indicate that the procyclical behavior of loan quality varies across credit types. The latter result, which is novel in the literature, suggests that banks with larger exposures to highly procyclical credit types and economic sectors would tend to undergo sharper deterioration in the quality of their credit portfolios during the economic downturn. Lack of sufficient portfolio granularity in macro stress testing fails to capture these effects and thus introduces a source of bias that tends to underestimate the tail losses stemming from the riskier banks in a system.

Keywords: banking system, stress tests, financial crisis, credit risk

JEL Classification: G1, G15, G32

Suggested Citation

Vazquez, Francisco and Tabak, Benjamin M. and Souto, Marcos Rietti, A Macro Stress Test Model of Credit Risk for the Brazilian Banking Sector (November 30, 2010). Available at SSRN: https://ssrn.com/abstract=1717839 or http://dx.doi.org/10.2139/ssrn.1717839

Francisco Vazquez (Contact Author)

International Monetary Fund ( email )

700 19th Street, N.W.
Washington, DC 20431
United States

Benjamin M. Tabak

FGV/EPPG ( email )

SGAN Av. L2 Norte - Quadra 602 - Módulos A, B e C
Brasília, Rio de Janeiro 70830-051
Brazil

Marcos Rietti Souto

affiliation not provided to SSRN ( email )

Here is the Coronavirus
related research on SSRN

Paper statistics

Downloads
297
Abstract Views
1,526
rank
107,274
PlumX Metrics