competing model consistently and significantly beats the LoLiMoT's performance in forecasting South African inflation. …The conduct of inflation targeting is heavily dependent on accurate inflation forecasts. Non-linear models have … increasingly featured, along with linear counterparts, in the forecasting literature. In this study, we focus on forecasting South …

Forecasting aggregate retail sales may improve portfolio investors’ ability to predict movements in the stock prices of … the retailing chains. Therefore, this paper uses 26 (23 single and 3 combination) forecasting models to forecast South …

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

This paper uses small set of variables-- real GDP, the inflation rate, and the short-term interest rate -- and a rich …-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 …

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. …

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 …

This paper uses small set of variables-- real GDP, the inflation rate, and the short-term interest rate -- and a rich …-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 …