panel estimation, recursive and rolling estimation, and alternate data construction methods. The model performs better when … improvement in forecast accuracy from our model is economically and statistically significant for almost all exchange-rate series …

We propose a new algorithm which allows easy estimation of Vector Autoregressions (VARs) featuring asymmetric priors …

estimation methods. Specifically, we employ VAR models with drifting parameters and stochastic volatility which are used to … power for inflation or, put differently, whether money growth Granger causes inflation. We use a historical dataset … - consisting of annual Swedish data on money growth and inflation ranging from 1620 to 2021 - and employ state-of-the-art Bayesian …

We assess the bivariate relation between money growth and inflation in the euro area and the United States using hybrid … statistically unstable across time in both regions. The effect that shocks to money growth has on inflation weakened notably after … monetary aggregates to inflation. …

Inflation Expectations survey perform relative to the random-walk forecast when it comes to predicting five financial variables …-walk forecast for the repo rate and Prague Interbank Offered Rate at the onemonth forecasting horizon. For the five-year and ten … horizons. For the CZE/EUR exchange rate, no statistically significant differences in forecast precision were found. …