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Keywords:Credit boom 

Working Paper
Can Forecast Errors Predict Financial Crises? Exploring the Properties of a New Multivariate Credit Gap

Yes, they can. I propose a new method to detect credit booms and busts from multivariate systems -- monetary Bayesian vector autoregressions. When observed credit is systematically higher than credit forecasts justified by real economic activity variables, a positive credit gap emerges. The methodology is tested for 31 advanced and emerging market economies. The resulting credit gaps fit historical evidence well and detect turning points earlier, outperforming the credit-to-GDP gaps in signaling financial crises, especially at longer horizons. The results survive in real time and can shed ...
Finance and Economics Discussion Series , Paper 2020-045

Working Paper
The Mortgage Rate Conundrum

We document the emergence of a disconnect between mortgage and Treasury interest rates in the summer of 2003. Following the end of the Federal Reserve expansionary cycle in June 2003, mortgage rates failed to rise according to their historical relationship with Treasury yields, leading to significantly and persistently easier mortgage credit conditions. We uncover this phenomenon by analyzing a large dataset with millions of loan-level observations, which allows us to control for the impact of varying loan, borrower and geographic characteristics. These detailed data also reveal that ...
Working Paper Series , Paper WP-2017-23

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