Improving and upgrading the tax audit selection model based on taxpayers' risk in the tax system.

Choosing a taxpayer based on risk criteria and audit planning requires identifying the level of risk of each taxpayer and identifying the risk of each taxpayer requires identifying the factors affecting the risk. In the Tax Affairs Organization of Iran, there is no complete and comprehensive model for selecting taxpayers based on risk assessment and selecting taxpayers for auditing. This research is a correlational description in terms of applied purpose and in terms of research method, because in addition to describing the current situation, it explores the relationships of each of the research variables using linear regression test, in addition to the expected results. It can be used to explain the companies listed on the Tehran Stock Exchange. Data collection tools in this research are Rahavard Novin software, Kadal site and stock exchange site. EViews software version 10 was used to analyze the data of this research. In this study, to determine the statistical sample, the method of systematic elimination has been used and finally a sample of 78 companies listed on the Tehran Stock Exchange was examined. Regression analysis was used to test the research hypotheses. The results of this study showed that it is possible to predict tax evasion of companies using financial ratios.