Abstract :
The purpose of this study was to investigate predicting Iran Cement Industry performance in Tehran stock Exchange. Predicting performance based on profitability, liquidity, leverage financial were formulated using SPSS® statistical software.Financial data available on all 28 cement company were input to logistic regression to build the algorithms. the results indicate that variables(A,B,C,D,E,F,G,H) have significant effect on the performance.
