The Impact of Banking Stability on Liquidity and Credit Risks in Iran; Panel Smooth Transition Regression Approach

Abstract

Banks and the volume of their financial transactions have a positive effect on the income of companies and the country's economy, and paying attention to their stability conditions can lead to a stability economy. Considering the importance of bankruptcy and banking crises, the main purpose of this study is to investigate the effects of liquidity and credit risk on Iran's banking stability using the z-score index. In this regard, financial information of 15 selected banks listed on the stock exchange during the period 2012-2020 has been collected. In order to achieve the research hypotheses and test them, the combined data approach and, the panel smooth transition regression method have been used. The findings of this study show that liquidity and credit risk have significantly increased bank stability first and then decreased banking stability by passing the first regime and entering the second regime, but in general, the effects of these two risks on Banking stability have been declining and significant. According to the research results, managers and owners of banks are advised to be more careful and sensitive in providing facilities to customers. Because granting more facilities increases liquidity risk; Failure to return the facility on time also increases credit risk and consequently causes bank instability.

Keywords

• banking stability
• liquidity risk
• credit risk
• banking system
• panel smooth transition regression