The aim of this study is to investigate the impact of digital finance on the stability of the banking sector. The study analysed year data between 2006 and 2020 from 44 countries within the ECA using the panel data analysis method. The dependent variable in the research model is the banks' Z-score. The number of ATMs per 100,000 inhabitants, the ratio of internet users to the total population and the number of cell phone connections per 100 inhabitants were used as indicators for digital finance. In the first stage of the analysis, the unit and time effects of the panel data were examined and then the appropriate model among the models with fixed effects and random effects was determined using the robust Hausman test. In the second stage, the basic assumptions for the preferred model were tested. In the final stage, the robust estimation method Driscoll-Kraay analysis was performed based on deviations in the assumptions. According to the results of the analysis, the number of ATMs and cell phone subscriptions per 100 people had a negative impact on the stability of the banking sector, while the proportion of people using the internet in the total population had a positive impact. The results show that digital financing has an impact on bank risk and financial stability.