Presentation the Model for Predicting the Factors Affecting Stock Price Crash Risk in the Tehran Stock Exchange

The purpose of this study is to provide a model for predicting the factors affecting the stock price Crash Risk in the Tehran Stock Exchange. In addition to a comprehensive review of the thematic literature related to the stock price crash risk, in the qualitative section, 12 people through theoretical sampling method, Selected among capital market experts and then by collecting the required data by means of document reference and interview tools to extract the factors affecting the risk of stock price crash risk using MAXQDA18 software and to extract the model from the structural equation model And PLS software has been used. Statistical population in the quantitative part, a sample of 100 companies was selected from the companies listed in the Tehran Stock Exchange between 2009 and 2019. The results show, it is possible to provide a model to predict the factors affecting the stock price crash risk and Financial variables, business strategies, managerial ability and information asymmetry as internal factors and macroeconomic variables and political relations and social responsibility as external effective factors on Stock Price Crash Risk and respectively social responsibility in the first priority, business strategies in the second priority, macroeconomic variables in the third priority, managerial ability in the fourth priority, political communication in the fifth priority, variables Financial in the sixth priority and information asymmetry in the seventh priority affect the stock price crash risk.