EconPapers    
Economics at your fingertips  
 

Forecast-based credit-to-GDP gaps for macroprudential policy

Oriol Boum Galiana and Vincent Bouvatier

Macroeconomic Dynamics, 2025, vol. 29, -

Abstract: Banking supervisors rely on a set of indicators, such as the credit-to-Gross Domestic Product (GDP) gap, to evaluate the macro-financial environment and implement the countercyclical capital buffer. This paper proposes two supplementary indicators, based on forecast-based measures of the credit-to-GDP gap: forecast-augmented credit-to-GDP gaps and predicted credit-to-GDP gaps. While the former has already attracted attention from some banking supervisors, the latter represents a novel metric introduced here. These gaps are generated using singular spectrum analysis. We show that forecasting performance varies between countries and depends on credit market conditions. Furthermore, our results indicate that forecast-based credit-to-GDP gaps are effective in predicting the early stages of a credit boom.

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.cambridge.org/core/product/identifier/ ... type/journal_article link to article abstract page (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:cup:macdyn:v:29:y:2025:i::p:-_138

Access Statistics for this article

More articles in Macroeconomic Dynamics from Cambridge University Press Cambridge University Press, UPH, Shaftesbury Road, Cambridge CB2 8BS UK.
Bibliographic data for series maintained by Kirk Stebbing ().

 
Page updated 2025-09-02
Handle: RePEc:cup:macdyn:v:29:y:2025:i::p:-_138