Distinguishing the meaning of financial distress and bankruptcy, this research attempts to predict financial distress through combinations of cash flow components among the listed firms of Tehran Stock Exchange. Contrary to the previous researches that make use of article 141 commercial code to separate bankrupt from non-bankrupt companies, in this research distressed companies are identified through representing of new financial signs. The process of financial distress prediction is done by warning of positive or negative sign of the components of operating, investing and financing net cash flows.. For this end, binary logistic regression models for 59 distressed and 59 non-financially distressed firms for the period between 2002 to 2011 is used. The results indicate that some combinations of cash flow components would be useful in evaluating companies’ performance and predicting financial distress.
Mansourfar, G., Ghayour, F., & lotfi, B. (2013). the combinations of cash flow components and predicting financial distress in Tehran stock exchange. Accounting and Auditing Research, 5(18), 74-87. doi: 10.22034/iaar.2013.104546
MLA
Gholamreza Mansourfar; Farzad Ghayour; Behnaz lotfi. "the combinations of cash flow components and predicting financial distress in Tehran stock exchange". Accounting and Auditing Research, 5, 18, 2013, 74-87. doi: 10.22034/iaar.2013.104546
HARVARD
Mansourfar, G., Ghayour, F., lotfi, B. (2013). 'the combinations of cash flow components and predicting financial distress in Tehran stock exchange', Accounting and Auditing Research, 5(18), pp. 74-87. doi: 10.22034/iaar.2013.104546
VANCOUVER
Mansourfar, G., Ghayour, F., lotfi, B. the combinations of cash flow components and predicting financial distress in Tehran stock exchange. Accounting and Auditing Research, 2013; 5(18): 74-87. doi: 10.22034/iaar.2013.104546
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