Future research may focus on the fact the nonlinear forecasting model is a parameter sensitive technique which results are highly dependent on the selection of the parameters, in contrast to other stochastic techniques such as ARIMA and ARFIMA. Also, focus may be paid to a possible improvement of the proposed neighbor selection method. Finally, another route for future research concerns the application of the proposed methodology to other mature and emerging markets, and the inclusion of more calendar anomalies.