Determination of Factors Affecting Capital Adequacy Using the Elastic Net Regression Method
Abstract
The capital adequacy
ratio is applied to banks as a legal obligation. Although the minimum rate of
capital required to be held according to the legal arrangement is 8%, much
higher rates are always applied in the Turkish banking sector. The factors
affecting this ratio, which ex-ceeds the minimum amount, and the reasons for
this apart from the legal requirement have been discussed in studies. The aim
of this study was to determine the financial indicators that explain and affect
the capital adequacy levels of banks, which are the leading financial
institutions. Therefore, in this research, capital adequacy ratios were taken
as the dependent variables, while balance sheet structure, asset quality,
liquidity, profitability, income-expenditure structure and sector shares were
taken as the independent variables. The method of calculating the ratios is
similar way with each other and so, high correlation between them creates a
methodological constraint. But, in the study, Elastic Net Regression analysis,
which is a combined application of the ridge and lasso regression methods used
in cases of the multicollinearity problem, was used. As a result of the study,
it was revealed that in all of the models created for four capital adequacy
ratios, equity-related ratios explained capital adequacy the most and that
profitability ratios affected capital adequacy the most.
Keywords
Turkish Banking Market,Capital Adequacy,Basel Criteria,Elastic Net Regression Method
Kaynakça
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