IDEAS home Printed from https://ideas.repec.org/p/col/000094/011145.html
   My bibliography  Save this paper

Banking Fragility in Colombia: An Empirical Analysis Based on Balance Sheets

Author

Listed:
  • Ignacio Lozano

    ()

  • Alexander Guarín

    ()

Abstract

In this paper, we study the empirical relationship between credit funding sources and the financial vulnerability of the Colombian banking system. We propose a statistical model to measure and predict banking-fragility episodes associated with credit funding sources classified into retail deposits and wholesale funds. We compute the probability of financial fragility for both the aggregated banking system and the individual banks. Our approach performs a Bayesian averaging of estimated logit regression models with monthly balance sheet data between 1996 and 2013. The results show the increasing use of wholesale funding to support credit expansion is a potential source of financial fragility. Therefore, monitoring credit funding sources could provide an additional tool to warn against banking disruptions.

Suggested Citation

  • Ignacio Lozano & Alexander Guarín, 2014. "Banking Fragility in Colombia: An Empirical Analysis Based on Balance Sheets," BORRADORES DE ECONOMIA 011145, BANCO DE LA REPÚBLICA.
  • Handle: RePEc:col:000094:011145
    as

    Download full text from publisher

    File URL: http://www.banrep.gov.co/sites/default/files/publicaciones/archivos/be_813.pdf
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. S. P. Brooks & N. Friel & R. King, 2003. "Classical model selection via simulated annealing," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 65(2), pages 503-520.
    2. repec:pri:cepsud:237b%20shin is not listed on IDEAS
    3. Huang, Rocco & Ratnovski, Lev, 2011. "The dark side of bank wholesale funding," Journal of Financial Intermediation, Elsevier, vol. 20(2), pages 248-263, April.
    4. Bordo, Michael D. & Haubrich, Joseph G., 2010. "Credit crises, money and contractions: An historical view," Journal of Monetary Economics, Elsevier, vol. 57(1), pages 1-18, January.
    5. Damar, H. Evren & Meh, Césaire A. & Terajima, Yaz, 2013. "Leverage, balance-sheet size and wholesale funding," Journal of Financial Intermediation, Elsevier, vol. 22(4), pages 639-662.
    6. Hume, Michael & Sentance, Andrew, 2009. "The global credit boom: Challenges for macroeconomics and policy," Journal of International Money and Finance, Elsevier, vol. 28(8), pages 1426-1461, December.
    7. Greenwood, Robin & Landier, Augustin & Thesmar, David, 2015. "Vulnerable banks," Journal of Financial Economics, Elsevier, vol. 115(3), pages 471-485.
    8. Òscar Jordà & Moritz Schularick & Alan M. Taylor, 2011. "When credit bites back: leverage, business cycles, and crises," Working Paper Series 2011-27, Federal Reserve Bank of San Francisco.
    9. Pierre-Olivier Gourinchas & Rodrigo Valdes & Oscar Landerretche, 2001. "Lending Booms: Latin America and the World," ECONOMIA JOURNAL, THE LATIN AMERICAN AND CARIBBEAN ECONOMIC ASSOCIATION - LACEA, vol. 0(Spring 20), pages 47-100, January.
    10. Carmen M. Reinhart & Vincent Reinhart, 2010. "After the fall," Proceedings - Economic Policy Symposium - Jackson Hole, Federal Reserve Bank of Kansas City, pages 17-60.
    11. Valerie Cerra & Sweta Chaman Saxena, 2008. "Growth Dynamics: The Myth of Economic Recovery," American Economic Review, American Economic Association, vol. 98(1), pages 439-457, March.
    12. Alexander Guarín & Andrés González & Daphné Skandalis & Daniela Sánchez, 2014. "An Early Warning Model for Predicting Credit Booms Using Macroeconomic Aggregates," ENSAYOS SOBRE POLÍTICA ECONÓMICA, BANCO DE LA REPÚBLICA - ESPE, vol. 32(73), pages 77-86, July.
    13. Moritz Schularick & Alan M. Taylor, 2012. "Credit Booms Gone Bust: Monetary Policy, Leverage Cycles, and Financial Crises, 1870-2008," American Economic Review, American Economic Association, vol. 102(2), pages 1029-1061, April.
    14. Bruno, Valentina & Shin, Hyun Song, 2015. "Capital flows and the risk-taking channel of monetary policy," Journal of Monetary Economics, Elsevier, vol. 71(C), pages 119-132.
    15. Claessens, Stijn & Kose, M. Ayhan & Terrones, Marco E., 2012. "How do business and financial cycles interact?," Journal of International Economics, Elsevier, vol. 87(1), pages 178-190.
    16. Marco Terrones & Enrique G. Mendoza, 2008. "An Anatomy of Credit Booms; Evidence From Macro Aggregates and Micro Data," IMF Working Papers 08/226, International Monetary Fund.
    17. Agur, Itai, 2013. "Wholesale bank funding, capital requirements and credit rationing," Journal of Financial Stability, Elsevier, vol. 9(1), pages 38-45.
    18. Borio, Claudio, 2014. "The financial cycle and macroeconomics: What have we learnt?," Journal of Banking & Finance, Elsevier, vol. 45(C), pages 182-198.
    19. Reinhart, Carmen & Goldstein, Morris & Kaminsky, Graciela, 2000. "Assessing financial vulnerability, an early warning system for emerging markets: Introduction," MPRA Paper 13629, University Library of Munich, Germany.
    20. Jeffrey A. Frankel & George Saravelos, 2010. "Are Leading Indicators of Financial Crises Useful for Assessing Country Vulnerability? Evidence from the 2008-09 Global Crisis," NBER Working Papers 16047, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Fanny Warman D., 2015. "Manejo del Balance Bancario en México," Documentos de Investigación - Research Papers 18, Centro de Estudios Monetarios Latinoamericanos, CEMLA.
    2. repec:eee:ememar:v:32:y:2017:i:c:p:168-189 is not listed on IDEAS
    3. Alexander Guarín-López & Ignacio Lozano-Espitia, 2016. "Credit Funding and Banking Fragility: An Empirical Analysis for Emerging Economies," BORRADORES DE ECONOMIA 014306, BANCO DE LA REPÚBLICA.

    More about this item

    Keywords

    Credit cycle; financial stability; wholesale funds; balance sheet; logistic model regression; Bayesian model averaging.;

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • G01 - Financial Economics - - General - - - Financial Crises
    • G20 - Financial Economics - - Financial Institutions and Services - - - General
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:col:000094:011145. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Clorith Angélica Bahos Olivera). General contact details of provider: .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.