Recent studies documented a sufficient forecasting performance of shadow-rate models in the low yields environment. Moreover, it has been shown that including the macro-variables into the shadow-rate models further improves the results. We build on these findings and evaluate for the U.S....

Geostatistical spatial models are widely used in many applied fields to forecast data observed on continuous three-dimensional surfaces. We propose to extend their use to finance and, in particular, to forecasting yield curves. We present the results of an empirical application where we apply...

For central banks, official communications serve as essential monetary policy instruments: In press releases, speeches, and interviews, central banks explain their decisions, manage expectations, and promote confidence in their strategy. This Weekly Report analyzes European Central Bank (ECB)...

This paper investigates forecasting US Treasury bond and Dollar Eurocurrency rates using the stochastic unit root (STUR) model of Leybourne et al. (1996), and the stochastic cointegration (SC) model of Harris et al. (2002, 2006). Both models have time-varying parameter representations and are...

It is often suggested that the slope of the term structure of interest rates contains information about the expected future path of inflation. Mishkin (1990) has recently shown that the spread between the 12-month and 3-month interest rates helps to predict the difference between the 12-month...