Abstract

This paper examines the drivers of post-war “systemic” banking crises in advanced economies. Using binary response models and a balanced panel of data, we show that persistently large departures from the long-run trend in housing and stock markets best predict the crises. Similar deviations in credit markets do not add to the explanatory power of the model that combines housing and stock market dynamics. Indicators capturing financial market risk perception also have high explanatory power. These findings indicate that extrapolative forecasts and neglect of tail risk drive asset market boom-bust cycles and systemic banking crises. Cycles in credit markets are driven by cycles in real-estate and stock markets before the crises. Additionally, capital inflow bonanzas fuel the stock and credit booms that spark systemic crises.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.