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Evaluating the Impact of Macroprudential Policies in Colombia's Credit Growth

Author

Listed:
  • Esteban Gómez

    () (Banco de la República de Colombia)

  • Angélica Lizarazo

    () (Banco de la República de Colombia)

  • Juan Carlos Mendoza

    () (Banco de la República de Colombia)

  • Andrés Murcia

    () (Banco de la República de Colombia)

Abstract

Macroprudential tools have been used around the world as a mechanism to control potential risks and imbalances in the financial sector. Colombia is a good example of a country that has employed different regulatory measures to manage systemic risks in the economy. The purpose of this paper is to evaluate the effectiveness of two policies employed in said country to increase the resilience of the system and to moderate exuberance in credit supply. The first measure, the countercyclical reserve requirement, was implemented in 2007 to control excessive credit growth. The second tool corresponds to the dynamic provisioning scheme for commercial loans, whose objective was to consolidate a countercyclical buffer through loan loss provision requirements. To perform this analysis a rich data set based on loan-by-loan information for Colombian banks during the period between 2006 and 2009 is used. A fixed effects panel model is estimated using debtors', banks' and macroeconomic characteristics as control variables. In addition, a difference in differences estimation is performed to evaluate the impact of the aforementioned policies. Findings suggest that dynamic provisions and the countercyclical reserve requirement had a negative effect on credit growth, and that said effect differs conditioned on bank-specific characteristics. Results also suggest that the aggregate macroprudential policy stance in Colombia has worked as an effective stabilizer of 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 of monetary policy, accompanying the stabilizing effects of changes in interest rates on credit growth.

Suggested Citation

  • Esteban Gómez & Angélica Lizarazo & Juan Carlos Mendoza & Andrés Murcia, 2017. "Evaluating the Impact of Macroprudential Policies in Colombia's Credit Growth," Borradores de Economia 980, Banco de la Republica de Colombia.
    • Handle: RePEc:bdr:borrec:980
    DOI: 10.32468/be.980
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    File URL: https://doi.org/10.32468/be.980
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    References listed on IDEAS

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    Cited by:

    1. Hernando Vargas, Pamela Cardozo and Andrés Murcia, 2017. "The macroprudential policy framework in Colombia," BIS Papers chapters, in: Bank for International Settlements (ed.), Macroprudential policy frameworks, implementation and relationships with other policies, volume 94, pages 103-128, Bank for International Settlements.
    2. Gaffney, Edward & McCann, Fergal, 2019. "The cyclicality in SICR: mortgage modelling under IFRS 9," ESRB Working Paper Series 92, European Systemic Risk Board.
    3. Morais, Bernardo & Ormazabal, Gaizka & Peydro, J.L. & Roa, Monica & Sarmiento Paipilla, Miguel, 2020. "Forward Looking Loan Provisions : Credit Supply and Risk-Taking," Other publications TiSEM fe99a48f-f94a-41d8-bf3f-3, Tilburg University, School of Economics and Management.
    4. Allen, Jason & Grieder, Timothy & Peterson, Brian & Roberts, Tom, 2020. "The impact of macroprudential housing finance tools in canada," Journal of Financial Intermediation, Elsevier, vol. 42(C).
    5. Yavuz Arslan and Christian Upper, 2017. "Macroprudential frameworks: implementation and effectiveness," BIS Papers chapters, in: Bank for International Settlements (ed.), Macroprudential frameworks, implementation and relationship with other policies, volume 94, pages 25-47, Bank for International Settlements.
    6. Gaffney, Edward & McCann, Fergal, 2018. "The cyclicality in SICR: mortgage modelling under IFRS 9," Research Technical Papers 16/RT/18, Central Bank of Ireland.
    7. Contreras, Alex & Gondo, Rocío & Pérez, Fernando & Oré, Erick, 2018. "Assessing the impact of credit de-dollarization measures in Peru," Working Papers 2018-009, Banco Central de Reserva del Perú.
    8. Chantawit Tantasith & Nasha Ananchotikul & Chatlada Chotanakarn & Vorada Limjaroenrat & Runchana Pongsaparn, 2018. "The Impact of LTV policy on Bank Lending: Evidence from Disaggregate Housing Loan Data," PIER Discussion Papers 90, Puey Ungphakorn Institute for Economic Research, revised Jul 2018.
    9. Agustín Villar, 2017. "Macroprudential frameworks: objectives, decisions and policy interactions," BIS Papers chapters, in: Bank for International Settlements (ed.), Macroprudential frameworks, implementation and relationship with other policies, volume 94, pages 7-24, Bank for International Settlements.
    10. Leonardo Gambacorta & Andrés Murcia, 2019. "The impact of macroprudential policies and their interaction with monetary policy: an empirical analysis using credit registry data," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Are post-crisis statistical initiatives completed?, volume 49, Bank for International Settlements.
    11. Contreras, Alex & Gondo, Rocío & Oré, Erick & Pérez, Fernando, 2019. "Evaluando el impacto de las medidas de desdolarización del crédito en el Perú," Working Papers 2019-005, Banco Central de Reserva del Perú.
    12. Ferrari, Stijn & Pirovano, Mara & Rovira Kaltwasser, Pablo, 2017. "The impact of sectoral macroprudential capital requirements on mortgage lending: evidence from the Belgian risk weight add-on," MPRA Paper 80821, University Library of Munich, Germany.

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    More about this item

    Keywords

    Macroprudential policies; Reserve requirements; Credit growth; Dynamic provisioning; Credit registry data.;
    All these keywords.

    JEL classification:

    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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