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Abstract This paper investigates the effect of CEO characteristics on bank stability of commercial banks in Vietnam. The study used regression models Pooled OLS, Fixed effects Model (FEM), random effects model (REM), and Feasible Generalized Least Square (FGLS) to evaluate the relationship between CEO characteristics and bank stability of 26 commercial banks in Vietnam. To deal with the limitations of traditional regression methods, we propose Bayesian regression method. The data collection period in the study is from 2013 to 2022. In these regression models, CEO power, female CEO, CEO tenure, and CEO age are independent variables. The dependent variable representing bank stability is the Z ‐score. The research results show that the factors CEO power, female CEO, CEO tenure, CEO age have a positive impact on bank stability in Vietnam.
Nam et al. (Mon,) studied this question.
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