Compare predicting the stock price companies in different time series: Tehran Stock Exchange

In recent years, using new methods for predicting stock price and stock index at Tehran Stock Exchange due to acceptable accuracy, has a large fans. The research population is Tehran Stock Exchange and National Iranian Copper Industries Company is considered as research sample. On this basis, the collection of data related to workdays of Tehran Stock Exchange within 5 years (2010 to 2014) was collected, and was divided to two sets of training data (2010 to end of 2013) and testing (2014). Meanwhile to the initial fitness of data and drawing graphs, the software of Excel2010 is used, to describe the collected data and also compare the fitted model, SPSS software is used.

کلیدواژه ها:

predicting price ، stock price ، time series ، Tehran Stock Exchange