In this research, we assessed the extent to which stock market information can be used to predict leading indicators of the bank financial distress.Likewise, we specified and tested a logit early warning model of bank financial distress, designed for Iranian banks, which tests if market-based indicators add predictive value to models relying on accounting data obtained from stock market.On the other hand, we studied the robustness of the link between market information and financial downgrading of a bank in the light of the safely net and asymmetric information hypotheses. In the end, we concluded that some of the results of accomplished studies support the use of market-related indicators in order to predict the financial distress.Other results, however, show that the accuracy of the predictive power of the financial distress depends on the extent to which bank liabilities are market traded. It means that if the bank undertakes to offer accurate data to the market, then a much better prediction can be made based on the bank data.