Designing a Model for Fiscal Discipline of Companies Listed in the Tehran Stock Exchange Using Logistic Regression

This study with aim to designing a model for fiscal discipline of companies listed in the Tehran stock exchange using logistic regression was conducted. In this regard, in this study, 15 independent variables were considered as dependent variables to explain fiscal discipline. For this purpose we examined of data related on 129 firms that were accepted in Tehran stock exchange during 21/3/2015 to 20/03/2019 and were analyzed using Eviews9 software. The result showed that accordingly with significance level, there is a positive and significant relationship between the previous year's fiscal discipline and audit firm size separately with dependent variable. Also, there is an inverse and significant relationship between exchange rate fluctuations, earnings management, audit firm rotation and credit risk with fiscal discipline. However, for other explanatory variables, no significant relationship was observed with the dependent variable.