This paper is aim to investigate technical efficiency to predict business failures. We use samples of listed companies of Tehran Stock Exchange (TSE) market including;Steel and Metal industry, automotive industriesand Oil, Gas and Petrochemical industriesin order to examine efficiency in each industry. These efficiency evaluationis based on non-parametric Data Envelopment Analysis (DEA) method and logit regression models. Our results show that during sample period (2010-2015) among Steel and Metal industry, automotive industriesand Oil, Gas and Petrochemical industries, 17.76% , 32.29% and 38.54% are respectively at risk of bankruptcy.
Tehran Stock Exchange (TSE); Credit risk; Data envelopment analysis (DEA);Directional distance functions.
