Evaluating the Employment of Technical Indicators in Predicting Stock Price Index Variations Using Artificial Neural Networks (Case Study: Tehran Stock Exchange)
نویسندگان
چکیده
منابع مشابه
Forecasting Stock Market Using Wavelet Transforms and Neural Networks and ARIMA (Case study of price index of Tehran Stock Exchange)
The goal of this research is to predict total stock market index of Tehran Stock Exchange, using the compound method of ARIMA and neural network in order for the active participations of finance market as well as macro decision makers to be able to predict trend of the market. First, the series of price index was decomposed by wavelet transform, then the smooth's series predicted by using...
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ژورنال
عنوان ژورنال: International Journal of Business and Management
سال: 2012
ISSN: 1833-8119,1833-3850
DOI: 10.5539/ijbm.v7n15p25