The Effect of Corporate Governance, risk Management on the Performance of Banks in Turkey
Journal: International Journal of Science and Research (IJSR) (Vol.9, No. 2)Publication Date: 2020-02-05
Authors : Adnan M. Alrujoubi;
Page : 1167-1176
Keywords : corporate governance; risk management; bank performance in turkey;
Abstract
It is widely believed that banks are the backbone of the economy and the financial sector of any country. The stability and growth of any economy depends largely on the stability of its banking sector. So this study aims to contribute by declare the variables that affect performance of banks in turkey. The study included two independent variables corporate governance (CC) and risk management (RM), and one dependent variable is performance (P). In the study the proxy variable selected is two ratio to represent each variable. CC represented by capital adequacy ratio (ACC) and equity to total assets ratio (BCC) , RM represented with liquidity ratio; proportion of liquid assets to total assets (ARM) and proportion of liquid assets to short-term liabilities(BRM), . performance measured by return on assets (AP). These ratios selected based on revision the literature review and availability from secondary published data from banks association of turkey and participation banks association of turkey web sites. Three participation (Islamic) banks and twelve deposit banks are included. STATA application is used by applying ordinary least square OLS analysis in order to find out the correlation among these ratios selected. Panel data for eighth years from 2010 to 2017 are used. The (pooled) OLS is a pooled linear regression without fixed and/or random effects. It assumes a constant intercept and slopes regardless of group and time period. This pooled OLS model fits the data well at the .05 significance level (F=17.31 and pless than.0000). R2 of 0.2882 says that this model accounts for 29 percent of the total variance in the total AP of banks. The regression equation is, OLS: AP= ?0+?1ACC+?2ARM+e AP=2.07+(-0.16 ACC)+(0.11 ARM). Even in case of zero ACC and zero ARM, each bank is expected to have 2.07 units of total AP (pless than .006). For one unit increase in ACC, the total AP of banks is expected to decrease by (-0.16) units, holding all other variables constant (p= .007). Whenever ARM increases by ten units, the total AP will increase by 1.1 units, holding all other variables constant (pless than .001).
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