Comparison Of Hybrid-Grey (1,1), Hybrid-Grey (2,1) Methods in Forecasting Nifty Fifty Data Based On Game Theoretical Model

Abstract

Stock price prediction is one of the emerging fields of research and many methods like technical analysis, time series analysis etc are used for this purpose. Nifty Fifty indices are used as sample data set to validate the concept. The performance of the model is analysed by comparing with GM  Method and GM  Method with triangular fuzzy number as parameter. we used three methods that can forecast large sized data: Hybrid-Grey ,  Hybrid-Grey . The results of the analysis show that the model which has the smallest error is Hybrid-Grey  therefore it is the best model to forecast the nifty fifty stock indices.