A growing body of literature argues that the financial cycle is considerably longer in duration and larger in amplitude than the business cycle and that its distinguishing features became more pronounced over time. This paper proposes an empirical approach suitable to test these hypotheses. We...

We evaluate the role of financial conditions as predictors of macroeconomic risk first in the quantile regression framework of Adrian et al. (2019b), which allows for non-linearities, and then in a novel linear semi-structural model as proposed by Hasenzagl et al. (2018). We distinguish between...

In an a priori view, it is usually assumed that the business cycle of manufacturing industries leads the business cycle of the service sector. This seems to be even more plausible for the relationship between business-related services, whose high growth rates in recent years were largely due to...

In the presence of financial frictions, banks' capital position may constrain their ability to provide loans. The banking sector may thus have important feedback effects on the macroeconomy. To shed new light on this issue, we combine two approaches. First, we use microeconomic balance sheet...

Using a nonlinear Bayesian likelihood approach that fully accounts for the lower bound on nominal interest rates, we analyze US post-crisis macroeconomic dynamics and provide reference parameter estimates. We find that despite the attention received in the literature, neither the inclusion of...

We study the link between the global financial cycle and macroeconomic tail risks using quantile vector autoregressions. Contractionary shocks to financial conditions and monetary policy in the United States cause elevated downside risks to growth around the world. By tightening financial...

Motivated by the build-up of shadow bank leverage prior to the financial crisis of 2007-2008, I develop a nonlinear macroeconomic model featuring excessive leverage accumulation and endogenous financial crises to capture the observed dynamics and to quantify the build-up of financial fragility....

The cross-sectional average of pairwise correlations across stocks traded on the NYSE, AMEX, and Nasdaq is a powerful predictor of U.S. economic activity at a horizon of one to four years. Its predictive ability is on a par with the slope of the yield curve and significantly exceeds that of some...

We examine how the occurrence of natural disasters impact the US economy and financial markets using monthly data since 2000. Our analysis reveals large sustained adverse effects of disasters on overall economic activity, with significant implications across various sectors including labor,...

Recent research provides controversial evidence on the stability of yield-curve based binary probit models for forecasting U.S. recessions. This paper reviews so far applied specifications and presents new procedures for examining the stability of selected probit models. It finds that a...