We employ a mixed-frequency quantile regression approach to model the time-varying conditional distribution of the US real GDP growth rate. We show that monthly information on the US financial cycle improves the predictive power of an otherwise quarterly-only model. We combine selected quantiles...

We introduce the technique of band spectral panel regression (BSPR) to analyze global linkages across sectors and frequency bands. It relies on decomposing time series —allowably measured in mixed observation frequency— into “deviation cycle” dynamics by frequency band. We use it to...

In this paper we re-investigate the comovements of interest rates in the G7-countries. We propose a structured modus operandi to analyze the time series characteristics of interest rates and to test for common features. We conduct cointegration, serial correlation common feature and codependence...

Has the "Swiss interest rate anomaly" persisted after the financial crisis? Regarding the hypothesis that the Swiss interest rate anomaly results from systemic risk anticipation, we discuss whether Switzerland remains an interest rate island in the wake of the financial crisis. We find evidence...

This paper re-examines the UIP relation by estimating first a benchmark linear Cointegrated VAR including the nominal exchange rate and the interest rate differential as well as central bank announcements, and then a Cointegrated Smooth Transition VAR (CVSTAR) model incorporating nonlinearities...