Present a model of factors affecting financial health of listed banks in Tehran Stock Exchange

This paper presents a model of factors affecting financial health of listed banks in Tehran Stock Exchange. Thus, factors affecting financial health of banks were identified and research hypotheses were developed accordingly, following the interviews with 48 experts in accounting and financial management. Then, the theoretical foundations of research were collected by referring to databases, dissertations, and relevant articles; and then financial data of 11 banks for a period of 10 years (2011-2020) were collected, research variables were measured and default regression tests were performed in data analysis section. In next step, amodel of factors affecting on financial health was presented through multivariate linear regression, research hypotheses, tests and finally, through nonlinear power regression and artificial neural network algorithms. The study findings explained that financial reporting quality, corporate governance and investment efficiency has a positive significant effect on banks’ financial health; while, financial leverage has a negative significant effect on financial health of banks. Other findings also stated that the firefly algorithm outperformed the backup machine and decision tree algorithms in banks’ financial health forecasts, with decision tree algorithm outperforming the backup machine algorithm.