This paper provides novel empirical evidence showing that foreign financial developments are a powerful predictor of domestic banking crises. Using a new data set for 38 advanced and emerging economies over 1970–2011, we show that credit growth in the rest of the world has a large positive...

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...

Within-firm variation of corporate bond spreads around the Covid-19 outbreak shows that US dollar-denominated bonds experienced larger increases in spreads relative to non-dollar bonds, especially at short maturities. Differently, in the non-dollar sample it was the spreads of longer maturity...

We study how foreign financial developments influence the conditional distribution of domestic GDP growth. Within a quantile regression setup, we propose a method to parsimoniously account for foreign vulnerabilities using bilateral-exposure weights when assessing downside macroeconomic risks....

We find that capital renting makes up one fifth of US capital expenditures, and it increases during downturns. Further, we present cross-country evidence that output losses after financial crises are smaller where renting is more prevalent. To understand these findings, we build a general...

We present a framework for measuring the evolution of risks to financial stability over the financial cycle, which we apply to the United Kingdom. We identify 29 indicators of financial stability risk, drawing from the literature on early warning indicators of banking crises. We normalise and...

This paper introduces the Bank of England's new forecasting platform and provides examples of how it can be applied to practical forecasting problems. The platform consists of four components: COMPASS, a structural central organising model; a suite of models, used to fill in the gaps in the...