Small or medium-scale VARs are commonly used in applied macroeconomics for forecasting and evaluating the shock … forecasting context. While none of the methods clearly emerges as best, some techniques turn out to be useful to improve the … forecasting performance. …

__Abstract__ The paper investigates the impact of jumps in forecasting co-volatility, accommodating leverage effects … for forecasting weekly and monthly horizons. …

benchmarks in terms of point and density forecasting. The gains are particular high when the full distribution is predicted and …

installed based information and provide several ways in which installed base forecasting can be used. We discuss cases of … installed based forecasting at four companies and list the issues involved. Moreover, we provide some models to assess the value …

-of-sample forecasting exercise to study money-income Granger causality, both linear and nonlinear, we believe is new to the literature. The … forecasting results do not suggest that money is nonlinearly Granger causal for output. In fact, they show that by allowing money … to nonlinearly Granger cause output, the forecasting performance of the STVECM is significantly worsened. …

(p) model for all forecast horizons and different AR models for different horizons. Representation, estimation and forecasting …