We provide methods for forecasting variables and predicting turning points in panel Bayesian VARs. We specify a … point and average forecasts are provided. An application to the problem of forecasting the growth rate of output and of … predicting turning points in the G-7 illustrates the approach. A comparison with alternative forecasting methods is also provided. …

reflected in the forecasting capabilities of professional analysts: all in all, analysts are not in a position to beat naïve … environment, we analyse the forecasting behaviour of students experimentally, using a simulated currency series. Our results … indicate that topically-oriented trend adjustment behaviour (TOTA) is a general characteristic of human forecasting behaviour …

This paper addresses the issue of forecasting the term structure. We provide a unified state-space modelling framework … forecasting performance of two crucial modelling choices, i.e. the imposition of no-arbitrage restrictions and the size of the … information set used to extract factors. Using US yield curve data, we find that: a. macro factors are very useful in forecasting …

, produces a degree of forecasting accuracy of the federal funds rate similar to that of the markets, and, for output and …

forecasting power for exchange rates. Using one year of high frequency data collected via a live feed from Reuters for three major …

-of-sample forecasting, and accuracy in the estimation of impulse response functions. …

model forecast should become the benchmark for forecasting horse races. We compare the real-time forecasting accuracy of the … forecasting models is efficient. Our second finding is that there is no single best forecasting method. For example, typically … simple AR models are most accurate at short horizons and DSGE models are most accurate at long horizons when forecasting …

While forecasting is a common practice in academia, government and business alike, practitioners are often left … wondering how to choose the sample for estimating forecasting models. When we forecast inflation in 2014, for example, should we … time series, and the forecasting performance is often quite sensitive to the choice of such window size. In this paper, we …