"This comprehensive historical account tells the story of 200 years of financial panics in America, from 1819 up to the current economic downturn of 2020, showing how and why so many financial crises have occurred in the United States and offering solutions to avoiding these sorts of crises...

We study the time-varying dependence of sovereign credit default swap (CDS) spreads on real-time, country-specific macro indicators during the eurozone sovereign debt crisis. Macro fundamentals explain 66% of the time-series variance of CDS spreads, but the time variation in macro sensitivities...

We develop early warning models for financial crisis prediction using machine learning techniques on macrofinancial data for 17 countries over 1870–2016. Machine learning models mostly outperform logistic regression in out-of-sample predictions and forecasting. We identify economic drivers of...

Machine learning tools are well known for their success in prediction. But prediction is not causation, and causal discovery is at the core of most questions concerning economic policy. Recently, however, the literature has focused more on issues of causality. This paper gently introduces some...

We develop early warning models for financial crisis prediction by applying machine learning techniques to macrofinancial data for 17 countries over 1870–2016. Most nonlin-ear machine learning models outperform logistic regression in out-of-sample predictions and forecasting. We identify...