Abstarct: This study explores the relationship between Idiosyncratic volatility and Mispricing at Tehran Stock Exchange. The sample consist of 119 selected companies in a six-years period since 2011 to 2017 and the data model (Panel) using Eviews, Stata and Spss software to investigate this relationship and variables of firm size, return on assets, turnover assets, Dividend, debt ratio, and Market value to Book value ratio are the control variables. Two methods have been used to measure the Mispricing Stock, the first one using the Berger and Ofek model and the second one using the Ikenberry et al. The results of logistic regression and GLS test show that special Idiosyncratic volatility have a positive and significant effect on both incorrect Mispricing Stock. Companies were also ranked baxsed on Idiosyncratic volatility. Companies with very low Idiosyncratic volatility are in the first decks and companies with very high Idiosyncratic volatility are in the top deciles. The results of this test showed that Idiosyncratic volatility were inversely related to the first criterion of Mispricing Stock and had a direct relationship with the second criterion of Mispricing Stock.