An Early Warning Model for Predicting Credit Booms Using Macroeconomic Aggregates

Thumbnail Image
Download
Borradores de Economía; No. 723

Date published

2012-07-15

Date

2012-07-15

Authors

Guarín-López, Alexander
González-Gómez, Andrés
Skandalis, Daphné
Sanchez, Daniela

Part of book title

ISSN

ISBN

Document language

spa
Metrics
downloads: 0
abstract_views: 0

Las opiniones contenidas en el presente documento son responsabilidad exclusiva de los autores y no comprometen al Banco de la República ni a su Junta Directiva.

The opinions contained in this document are the sole responsibility of the author and do not commit Banco de la República or its Board of Directors.

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 (2008)’s idea that macroeconomic aggregates other th

Description

JEL Codes

E32 - Business Fluctuations; Cycles
E37 - Prices, Business Fluctuations, and Cycles: Forecasting and Simulation: Models and Application
E44 - Financial Markets and the Macroeconomy
E51 - Money Supply; Credit; Money Multipliers
C53 - Forecasting and Prediction Methods; Simulation Methods

Temática

Keywords

Keywords

Early Warning Indicator , Credit Booms , Business Cycles , Emerging Markets

Citation

URI

https://repositorio.banrep.gov.co/handle/20.500.12134/5767
 https://hdl.handle.net/20.500.12134/5767
 https://ideas.repec.org/p/bdr/borrec/723.html
 https://doi.org/10.32468/be.723

Collections

Borradores de Economía

Seleccionar año de consulta:
Full item page

Esta obra está bajo licencia internacional Creative Commons Reconocimiento-NoComercial 4.0.

Este documento ha sido depositado por parte de el(los) autor(es) bajo la siguiente constancia de depósito