interested in combining discrete forecasts from competing Markov-switching models. In the empirical application, we forecast U …

Trueman [1994] provides a model of forecasting behavior in which analysts do not always make forecasts that are … sessions to investigate individual forecasting behavior. In each session, four individuals predict earnings based on possibly … divergent information. We manipulate forecast ability so that two individuals are strong analysts and two are weak. In three …

forecast when and how such behavioral changes will occur. These forecasting techniques, as well as any arbitrary time series …The ability to model, forecast, and analyze the behaviors of otheragents has applications in many diverse contexts. For … example, behavioral models can be used in multi-player games to forecast an opponent's next move, in economics to forecast a …

Object of the research – forecasting of state revenue from corporate income tax.Aim of the research – to propose … accurate forecasting model of state revenue from corporate income tax under Lithuanian economic conditions.Objectives of the … develop methodology for analysis and forecasting modeling of corporate income tax; 4) to identify the best forecasting model …

, insbesondere der Zeitreihenanalyse liegt. Das Konzept besteht darin, sämtliche wiederkehrenden Aufgaben mit Hilfe von Java …

improving Iowa’s price forecasting performance via composite procedures.Finally, given the potential benefits of forecast … combinatory procedures as forecasting techniques to improve the predictive accuracy of hog price outlook forecasts. Many of these … forecasting techniques have never been applied to livestock markets. Quarterly data from the mid- to late-1970s through 2007 for …

forecast output growth and inflation for the current calendar year and the next, implying that the forecast horizon changes …, aiming at obtaining a correctly calibrated fixed-horizon density forecast. Using data from the US Survey of Professional … on historical forecast errors or Bayesian VARs. Thus, our proposed fixed-horizon predictive densities are a new and …