Abstract:

In this study, the factors affecting the capital structures of traditional banks and participation banks in the Turkish banking sector were examined. In this context, the analyzes were carried out with the panel data regression model and artificial neural networks using the annual financial data of the banks between the years 2010-2020. According to the results of the study, the capital structures of traditional banks; It has been determined that asset structure(tangibility), return on assets ratio, financial development and inflation rate variables affect negatively, while bank size, growth rate and GDP affect positively. In addition, since there are fixed effects, it has been concluded that a change in the relevant variables of the banks also affects other banks. When the results of the regression analysis are examined in terms of participation banks; It has been concluded that asset structure (tangibility) and bank size have a positive effect on the leverage ratio, while credit risk has a negative effect on the leverage ratio.

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