The forecasting of Istanbul stock exchange by using a hybrid fuzzy time series approach
نویسنده
چکیده
Nowadays, forecasting and techniques used to obtain the forecasts are very important. The term of forecast means to make an inference (predict) about the future on the basis of existing information. Especially, forecasting of stock market data are frequently used in time series analysis literature. Moreover, fuzzy time series forecasting methods have been widely used in the analysis of stock market data in recent years. In this study, Istanbul Stock Exchange time series data from four different years were forecasted with a hybrid fuzzy time series approach and evaluated with the results of the other different methods.
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