Can Forecast Errors Predict Financial Crises? Exploring the Properties of a New Multivariate Credit Gap
Abstract: 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 light on the drivers of credit booms.
File(s): File format is application/pdf https://www.federalreserve.gov/econres/feds/files/2020045pap.pdf
Part of Series: Finance and Economics Discussion Series
Publication Date: 2020-06-12