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...

Asymmetric information between the central bank and bond markets creates an inference problem that affects the behaviour of long interest rates. This paper employs a simple macroeconomic model with a time-varying infation target to illustrate the implications of asymmetry for the sensitivity of...

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....