Modeling a Variety of Indices of Iranian Stock Exchange Using Genetic Function Approximation Algorithm by Mahmoud Hashemi Tabar, Amir Dadras Moghadam, Seyed Mehdi Hosseini, Ebrahim Moradi

“…Modeling has been done using the genetic function approximation algorithm. Using MSmodeling software has been modeled for the factors affecting the stock price index, the price index and cash returns of the stock exchange, the financial index, the industry index were used to determining 108 independent variables are effective on the types of stock indexes. …”
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