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This study aims to examine the factors influencing the profitability of the 11 Thai commercial banks listed on the Stock Exchange of Thailand. The dependent variable is profitability of commercial banks measured by 3 measurements while independent variables including capital ratio, size of bank, total loans and leases, total deposits, share deposits, interest expense, investment in securities, SET Index, and Gross Domestic Product (GDP). The data are collected from DATA STREAM during the period 2005-2015. Three multiple regression models according to the measurement of commercial bank profitability are employed including 1) Rate of return (ROA), 2) Return on common shareholders’ equity, and 3) Earning per share (EPS). The empirical results found that factors influencing each model of bank profitability were vastly difference. The factors influencing the profitability of the Thai commercial banks depended on each profitability measurements. Furthermore, the results implied that the factors that related to commercial banks profitability are interest expenses, the total loans and leases, capital ratio, GDP and the bank size. These findings could be useful for making decision and considering factors influencing the commercial bank profitability.
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Athanasoglou, P. P., Brissimis, S. N., & Delis, M. D. (2008). Bank-specific, industryspecific and macroeconomic
determinants of bank profitability. Journal of international financial Markets, Institutions and Money. 18(2),
Bank of Thailand. (2017). Commercial bank revenues and costs. Retrieved September 19, 2017 from http://www2.bot.or.th/statistics/BOTWEBSTAT. aspx?reportID=673&language=TH
Berry, W. D., & Feldman, S. (1985). Multiple regression in practice: quantitative applications in the social sciences.
Bourke, P. (1989). Concentration and other determinants of bank profitability in Europe, North America and Australia. Journal of Banking & Finance. 13(1), 65-79.
Chancharat, S. (2015). Econometrics: theory and applications. khon kaen university printing house. (in Thai)
Choi. (2001). Unit Root Tests for Panel Data. Journal of International Money and Finance. 20(3), 249-272.
Cochrane, D., & Orcutt, G. H. (1949). Application of least squares regression to relationships containing auto-correlated error terms. Journal of the American statistical association. 44(245), 32-61.
Hassan, M. K., & Bashir, A. H. M. (2003). Determinants of Islamic banking profitability. In 10th ERF annual
Hausman, J. A. (1978). Specification tests in econometrics. Econometrica: Journal of the Econometric Society. 46(6), 1251-1271.
Maddala, G. S., & Wu, S. (1999). A comparative study of unit root tests with panel data and a new simple test. Oxford Bulletin of Economics and statistics. 61(S1), 631-652.
Owoputi, J.A. (2014). Bank specific, industry specific and macroeconomic determinants of bank profitability in
Nigeria. European Scientific Journal. 10(25), 408-423.
Staikouras, C. & G. Wood. (2003). The determinants of bank profitability in Europe. Paper presented at the
European applied business research conference.
James H. Stock & James W. Watson (2007). Introduction to econo-metrics. 2nd edition. New York: Parntice Holl. Studenmund, A. H. (2006).Using econometrics:a practical guide. New York: pearson International edition.
Wooldridge, J. M. (2006). Introductory econometrics: a modern approach. OH: Thomson.