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Journal of Banking & Finance Vol. 46 2014

Measuring aggregate risk: Can we robustly identify asset-price boom–bust cycles?

Vladimir Borgy; Laurent Clerc; Jean-Paul Renne

Banque de France

Abstract

We investigate the extent to which it is possible to detect asset-price booms and banking crises according to alternative identification strategies and we assess their robustness. We find some evidence that house price-booms are more likely to turn into costly recession or to trigger a banking crisis than stock-price booms. Resorting both to a non-parametric approach and a discrete-choice (logit) model, we analyze the ability of a wide set of indicators to robustly explain costly asset-price booms. According to our results, real long-term interest rates and real stock prices tend to increase the probability of a costly housing-price boom, whereas real GDP tends to increase the probability of a costly stock-price boom. Interestingly, the credit-to-GDP gap indicator, sometimes put forward in the literature as a key reference for setting countercyclical capital buffers, does not seem to be a robust leading indicator of costly booms or banking crises.

DOI
10.1016/j.jbankfin.2014.05.015
Volume
46
Pages
132-150
Language
en
Sources
openalex crossref bibtex:phds-export.bib

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