), conditional heteroscedastic volatility models, and multiple news shocks are suitable for forecasting the volatility of the … GJRGARCH-FFNSs model is the best model for Malaysian tourism demand volatility forecasting accuracy. Furthermore, KLCI and Gold … methodological framework utilised in this study can be a useful tool for creating and forecasting the performance of symmetry and …

story-telling and policy analysis were in the forefront of applications since its inception, the forecasting perspective of … models are inferior in ex-ante forecasting a crisis. Surprisingly however, it turned out that not all but those models which … only detect the turning point of the Austrian business cycle early in 2008 but they also succeeded in forecasting the …