using a variety of estimation procedures yield better forecasting results than the non-ARFIMA (AR, MA, ARMA and GARCH …

20 bivariate regression models, are used in order to capture the influence of fundamentals in forecasting residential …

-stochastic-general-equilibrium models of the economy, may prove crucial in forecasting turning points. …

linear and non-linear forecasting models and univariate and multivariate techniques. The linear models include vector …’s economy. We conclude that the non-linear models generally outperform linear models in forecasting future movements in GGR and …

density forecasts between the linear and non-linear models. Finally, in a dynamic 25-step ex-ante and interval forecasting …

increasingly featured, along with linear counterparts, in the forecasting literature. In this study, we focus on forecasting South … consistently and signicantly beats the LoLiMoT's performance in forecasting South African in ation. …

increasingly featured, along with linear counterparts, in the forecasting literature. In this study, we focus on forecasting South … competing model consistently and significantly beats the LoLiMoT's performance in forecasting South African inflation. …

and non-linear forecasting models and univariate and multivariate techniques. The linear models include vector … for Nevada’s economy. We conclude that non-linear models generally outperform linear models in forecasting future …

-stochastic-general-equilibrium models of the economy, may prove crucial in forecasting turning points. …

density forecasts between the linear and non-linear models. Finally, in a dynamic 25-step ex-ante and interval forecasting …