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Abstract
In this Paper a regression models have been frequently utilized to predict the asset based values. The related models based on a regression model has been utilized to predict the value of the S&P CNX 500 based on economic predictors which were selected through a process of general subjective knowledge as a optimum model. In this paper the method of statistical learning is utilized to instead decide what predictors are to be used for the model. We also use a well-known market hypothesis “The 5 year changing average death cross” is mathematical validation model, and a scheme to avoid critical time periods to particular values of the regression predictors is outlined.