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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.

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