Linear Multiple Regression Analysis
By using linear multiple regression (OLS), Bilal et al (2013) identify an influence of bank specific and macroeconomic factors on profitability of commercial banks in Pakistan during 2007 to 2011. Return on equity and return on assets are used as dependent variable. Deposit to assets, capital ratio, bank size, net interest margin and nonperforming loans to entire advances are used as bank specific measures. Inflation, industry production growth rate and real gross domestic product are known as macroeconomic factors. By using statistics, correlation and regression analysis investigator determine that net interest margin, bank size, and industry production growth rate has positive impact on the asset and equity. Non-performing loans and inflation have adverse impact on Return on assets while real gross domestic product has significant impact on ROA. Therefore, Capital ratio has a significant impact to ROE.
On the other hand, Gul, Irshad & Zaman (2011) studies the impact of bank-specific features and macroeconomic indicators on bank’s profitability in the Pakistan’s banks from 2005 to 2009. They find that external factors of the banks have significant impact on the profitability.
Javaid et al (2011) examine the determinants of top 10 banks’
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ROA and Earnings Yield (EY) are used as proxies of internal and external profitability respectively. They find that bank size, liquidity and management efficiency have a statistically significant impact on ROA but capital adequacy has insignificant effect. In contrast, results suggest that earnings yield is significantly influenced by capital adequacy, management efficiency and bank size, while liquidity have insignificant influence on Earnings
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