Motivated by the common finding that linear autoregressive models often forecast better than models that incorporate additional information, this paper presents analytical, Monte Carlo, and empirical evidence on the effectiveness of combining forecasts from nested models. In our analytics, the...

An extensive literature that studied the performance of empirical exchange rate models following Meese and Rogoff's [Meese, R.A., Rogoff, K., 1983a. Empirical Exchange Rate Models of the Seventies: Do They Fit Out of Sample? Journal of International Economics 14, 3-24.] seminal paper has not...

This paper uses real-time data to show that inflation and either the output gap or unemployment, the variables which normally enter central banks' Taylor rules for interest-rate-setting, can provide evidence of out-of-sample predictability and forecasting ability for the United States...

Using real-time data that reflects information available to monetary authorities at the time they are formulating policy, we find that estimated Taylor rules based on revised and real-time data differ more for Germany than for the U.S., Taylor rules using real-time data suggest differences...

The Taylor rule has become the dominant model for academic evaluation of out-of-sample exchange rate predictability. Two versions of the Taylor rule model are the Taylor rule fundamentals model, where the variables that enter the Taylor rule are used to forecast exchange rate changes, and the...