economics and financial markets, the effects of combining multiple news shocks on the volatility of tourism demand have not yet … GJRGARCH-FFNSs model is the best model for Malaysian tourism demand volatility forecasting accuracy. Furthermore, KLCI and Gold … asymmetry impacts on tourism demand volatility. …

electricity demand in Australia to the time of the day and intra-day temperature. We show a superior model fit when using Daylight … that relates instantaneous electricity demand sensitivity to temperature as a function of the daily activity cycle. The … frequency electricity demand forecasting. The overall accuracy of the proposed GAM specification in predicting demand is …

Despite its importance to OM, demand forecasting has been perceived as a “problem-solving” exercise; most empirical … under high demand volatility for procurement managers to make better inventory decisions. In response to requests for an … integrated forecasting methodology, we undertook an iterative process based on three guiding principles — data pooling, theory …