IDEAS home Printed from https://ideas.repec.org/a/bdr/ensayo/v32y2014i73p77-86.html
   My bibliography  Save this article

An Early Warning Model for Predicting Credit Booms Using Macroeconomic Aggregates

Author

Listed:
  • Alexander Guarín

    ()

  • Andrés González
  • Daphné Skandalis
  • Daniela Sánchez

Abstract

In this paper, we propose an alternative methodology to determine the existence of credit booms, which is a complex and crucial issue for policymakers. In particular, we exploit the Mendoza and Terrones’s (2008) idea that macroeconomic aggregates contain valuable information to predict lending boom episodes. Specifically, our econometric method is used to estimate and predict the probability of being in a credit boom. We run empirical exercises on quarterly data for six Latin American countries between 1996 and 2011. In order to capture simultaneously model and parameter uncertainty, we implement the Bayesian model averaging method. As we employ panel data, the estimates may be used to predict booms of countries which are not considered in the estimation. Overall, our findings show that macroeconomic variables contain relevant information to identify and to predict credit booms. In fact, with our method the probability of detecting a credit boom is 80%, while the probability of not having false alarms is greater than 92%.

Suggested Citation

  • Alexander Guarín & Andrés González & Daphné Skandalis & Daniela Sánchez, 2014. "An Early Warning Model for Predicting Credit Booms Using Macroeconomic Aggregates," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, vol. 32(73), pages 77-86, July.
  • Handle: RePEc:bdr:ensayo:v:32:y:2014:i:73:p:77-86
    as

    Download full text from publisher

    File URL: http://repositorio.banrep.gov.co/bitstream/handle/20.500.12134/6501/?sequence=1
    Download Restriction: no

    Other versions of this item:

    Citations

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


    Cited by:

    1. Franz Alonso Hamann Salcedo & Rafael Hernández & Luisa Fernanda Silva EScobar & Fernando Tenjo Galarza, 2013. "Credit Pro-cyclicality and Bank Balance Sheet in Colombia," Borradores de Economia 762, Banco de la Republica de Colombia.
    2. repec:eee:ememar:v:32:y:2017:i:c:p:168-189 is not listed on IDEAS
    3. Franz Hamann & Rafael Hernández & Luisa Silva & Fernando Tenjo G., 2014. "Leverage Pro-cyclicality and Bank Balance Sheet in Colombia," Revista ESPE - Ensayos Sobre Política Económica, Banco de la República - ESPE, vol. 32(73), pages 50-76, July.
    4. 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

    Early Warning Indicator; Credit booms; Bayesian model averaging; Emerging Markets;

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

    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:bdr:ensayo:v:32:y:2014:i:73:p:77-86. 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: http://edirc.repec.org/data/brcgvco.html .

    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.

    We have no references for this item. You can help adding them by using 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.