ranking of banks’ risk reporting using data envelopment analysis

The present study aimed at ranking banks in terms of board of directors’ report and notifying the users of reports. in addition, we evaluated factors affecting risk disclosure from the perspective of corporate governance. moreover, we assessed risk disclosure based on linguistic analysis of board report text and capital adequacy ratio. words were applied as measurement units to measure risk disclosure. the advantage of this technique is the unique analysis of words. according to the theoretical foundations presented in the present study, we primarily identified risk disclosure words in reports provided to financial information users and divided them into two categories of positive and negative risk disclosure words. another variable selected for risk disclosure was capital adequacy ratio. effective variables in corporate governance system in banks included board independence, duality of ceo duties, and major shareholders as input variables in data envelopment analysis (dea) model. on the other hand, the bcc model of dea was selected as output-based nature. the statistical population included all banks listed in tehran stock exchange. in total, 20 yearbank units listed during 2016-2017 were assessed. in the end, seven year-bank units were considered efficient while the rest were inefficient. moreover, we estimated the amount of shortage in outputs of inefficient banks to achieve the desired level of efficiency.