This paper investigates whether movements in the Bank of England's interest rate hindered the development of the United States by transmitting or amplifying crises during the first age of financial globalisation. Evidence that US monetary and financial developments entered into the Bank's...

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....

This paper evaluates whether recent advances in modelling the extensive margin of exports contribute to our understanding of export fluctuations over the business cycle. Using US and euro-area data, we estimate a general equilibrium model in which the extensive margin of exports varies over the...

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...

Motivated by the traditional business cycle approach of Burns and Mitchell (1946), we explore cyclical similarities in financial conditions over time in order to improve our understanding of financial cycles. Looking back at 120 years of data, we find that financial cycles exhibit behaviour...

Motivated by the desire to probe macroeconomic tail events and to capture non-linear economic dynamics, we estimate two types of regime switching models: threshold VAR and Markov switching VAR. For each of the models, we estimate regimes which carry the interpretation of recessionary/normal and...

This paper applies algorithmic analysis to large amounts of financial market text-based data to assess how narratives and sentiment play a role in driving developments in the financial system. We find that changes in the emotional content in market narratives are highly correlated across data...

This paper applies algorithmic analysis to large amounts of financial market text-based data to assess how narratives and sentiment play a role in driving developments in the financial system. We find that changes in the emotional content in market narratives are highly correlated across data...

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...

Banking crises have severe short and long‑term consequences. We develop a general equilibrium model with financial frictions and endogenous growth in which macroprudential policy supports economic activity and productivity growth by strengthening bank’s resilience to adverse financial...