Evaluating the Impact of Macroprudential Policies on Credit Growth in Colombia

Macroprudential tools have been used around the world to counter potential risks and imbalances in the financial sector. Colombia is a good example of a country that has employed a variety of regulatory measures to manage systemic risks in the economy. The purpose of this paper is to evaluate the effectiveness of two such policies with a view to increasing systemic resilience and curbing excesses in the credit supply. The first measure, the countercyclical reserve requirement, was implemented in 2007 to control excessive credit growth. The second was the dynamic provisioning scheme for commercial loans, which was designed to establish a countercyclical buffer through loan loss provision requirements. To perform this analysis, a rich dataset based on loan-by-loan information for Colombian banks during the 2006-09 period is used. A fixed effects panel model is estimated using the characteristics of debtors, banks and the macroeconomy as control variables. In addition, a difference in differences estimation is performed to evaluate the policies' impact. The findings suggest that the dynamic provisions and the countercyclical reserve requirement had a negative effect on credit growth, and that this effect varies according to bank-specific characteristics. Results also suggest that the aggregate macroprudential policy stance in Colombia has worked effectively to stabilize credit cycles, with some preliminary evidence also pointing towards significant effects in reducing bank risk-taking. Moreover, evidence is found that macroprudential policies have worked as a complement to monetary policy, as both have a moderating effect on credit growth when tightened.Paper produced as part of the BIS Consultative Council for the Americas (CCA) research project on "The impact of macroprudential policies: an empirical analysis using credit registry data" implemented by a Working Group of the CCA Consultative Group of Directors of Financial Stability (CGDFS)