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The Effects Of Profitability Ratios On Debt Ratio: The Sample Of The Bist Manufacturing Industry


  • KORKMAZ, Özge

    (Bayburt University, Faculty of Economıcs and Admınıstratıve Scıences, Department of Economics)


The factors affecting debt levels of firms are related to the course of economy as well as the profitability of companies. But it is quite difficult to make a prediction about the course of economy. In this study, it is aimed to reveal how profitability indicators of companies affect debt levels. The purpose of this study is to examine the relation between the debt and profitability ratios of the companies that operate on the BIST (Istanbul Stock Exchange Market) manufacturing industry by using Panel Regression Analysis. The data of the 86 companies within manufacturing industry on the BIST between the years 1994 and 2015 were used. Furthermore, the variables such as asset growth ratio, return on asset, current ratio, leverage ratio, cash rate, new borrowing rates, total financial liability/total liability ratio, return on equity, investment and earnings have been studied. It has been observed in the study that the active growth and the return on equity ratios affect the new borrowing variables positively while investment, current earnings per share ratios affect the new borrowing variables- negatively. In addition, it has been determined in the study that the return on investment, the return on assets and the current ratios affect the leverage ratio negatively while the active growth, the return on equity, the earnings and the cash ratios per share affect the leverage ratios positively. It has also seen that the active return on assets and the earnings per share ratios affect the total financial liabilities/total liability ratios negatively while the asset growth ratios affect the total financial liabilities/total liabilities ratios positively.

Suggested Citation

  • KORKMAZ, Özge, 2016. "The Effects Of Profitability Ratios On Debt Ratio: The Sample Of The Bist Manufacturing Industry," Studii Financiare (Financial Studies), Centre of Financial and Monetary Research "Victor Slavescu", vol. 20(2), pages 35-54.
  • Handle: RePEc:vls:finstu:v:20:y:2016:i:2:p:35-54

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    References listed on IDEAS

    1. Eddie C. M. Hui & Yunzhi Orange Gao & Ka Kwan Kevin Chan, 2015. "Does EVA truly reflect the performance of property companies in China?," International Journal of Strategic Property Management, Taylor & Francis Journals, vol. 19(3), pages 260-270, September.
    2. Rafael E. De Hoyos & Vasilis Sarafidis, 2006. "Testing for cross-sectional dependence in panel-data models," Stata Journal, StataCorp LP, vol. 6(4), pages 482-496, December.
    3. A. Bhargava & L. Franzini & W. Narendranathan, 2006. "Serial Correlation and the Fixed Effects Model," World Scientific Book Chapters, in: Econometrics, Statistics And Computational Approaches In Food And Health Sciences, chapter 4, pages 61-77, World Scientific Publishing Co. Pte. Ltd..
    4. Schwert, G William, 2002. "Tests for Unit Roots: A Monte Carlo Investigation," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 5-17, January.
    5. M. Hashem Pesaran, 2007. "A simple panel unit root test in the presence of cross-section dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 265-312.
    6. T. S. Breusch & A. R. Pagan, 1980. "The Lagrange Multiplier Test and its Applications to Model Specification in Econometrics," Review of Economic Studies, Oxford University Press, vol. 47(1), pages 239-253.
    7. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
    8. Dilek Demirhan, 2009. "Sermaye Yapisini Etkileyen Firmaya Ozgu Faktorlerin Analizi: IMKB Hizmet Firmalari Uzerine Bir Uygulama," Ege Academic Review, Ege University Faculty of Economics and Administrative Sciences, vol. 9(2), pages 677-697.
    9. Baltagi, Badi H. & Wu, Ping X., 1999. "Unequally Spaced Panel Data Regressions With Ar(1) Disturbances," Econometric Theory, Cambridge University Press, vol. 15(6), pages 814-823, December.
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    More about this item


    Manufacturing Industry; Capital Structure; Turkish Stock Market; Panel Regression;
    All these keywords.

    JEL classification:

    • G3 - Financial Economics - - Corporate Finance and Governance
    • L6 - Industrial Organization - - Industry Studies: Manufacturing
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models


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