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...

We first show that the recent success of modern macroeconomic models in forecasting nominal exchange rates, evaluated using the Clark and West (2006) inference procedure, is in part due to the presence of the constant term (drift) in addition to the economic fundamentals. We then model the...

This paper looks at the term-structure literature to identify early signs predicting recessionary patterns in the U.S. and other developed economies. Based on the NBER and ECRI recession dates, we define the probability of recession as a function of the traditional yield spread plus a...

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...

This paper evaluates out-of-sample exchange rate predictability of Taylor rule models, where the central bank sets the interest rate in response to inflation and either the output or the unemployment gap, for the euro/dollar exchange rate with real-time data before, during, and after the...