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Analysis of The Effect of Financial Ratios to Probability Default of Indonesia’s Coal Mining Company

Author

Listed:
  • Celly Septine Mayliza
  • Adler Haymans Manurung
  • Benny Hutahayan

Abstract

The purpose of this study is to analyze the effect of debt equity ratio (DER), gross profit margin (GPM), net profit margin (NPM), Time Interest Earned (TIE) and current ratio (CR) to probability bankruptcy in Indonesia’s coal mining company for period 2016 to 2018. This research use model panel data to estimate coefficient model. The results obtained that gross profit margin, EBIT / Interest and Current Ratio have significantly affecting probability bankruptcy. While the debt equity ratio and net profit margin did not have significant to affect the probability of bankruptcy in Indonesia’s coal mining company that listed on the Indonesia Stock Exchange.  JEL classification numbers: B26, C23, C58, D53, E44, L25, L71, Q43.

Suggested Citation

  • Celly Septine Mayliza & Adler Haymans Manurung & Benny Hutahayan, 2020. "Analysis of The Effect of Financial Ratios to Probability Default of Indonesia’s Coal Mining Company," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 10(5), pages 1-9.
    • Handle: RePEc:spt:apfiba:v:10:y:2020:i:5:f:10_5_9
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    References listed on IDEAS

    as
    1. Edward I. Altman, 1968. "The Prediction Of Corporate Bankruptcy: A Discriminant Analysis," Journal of Finance, American Finance Association, vol. 23(1), pages 193-194, March.
    2. Mohammad Sofie Abdul Hasan & Adler Haymans Manurung & Bahtiar Usman, 2020. "Determinants of Bank Profitability with Size as Moderating Variable," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 10(3), pages 1-7.
    3. Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure - Reply," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 123-127.
    4. Tian, Shaonan & Yu, Yan, 2017. "Financial ratios and bankruptcy predictions: An international evidence," International Review of Economics & Finance, Elsevier, vol. 51(C), pages 510-526.
    5. Merton, Robert C, 1974. "On the Pricing of Corporate Debt: The Risk Structure of Interest Rates," Journal of Finance, American Finance Association, vol. 29(2), pages 449-470, May.
    6. Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 71-111.
    7. Richard Whitaker, 1999. "The early stages of financial distress," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 23(2), pages 123-132, June.
    8. Edward I. Altman, 1968. "Financial Ratios, Discriminant Analysis And The Prediction Of Corporate Bankruptcy," Journal of Finance, American Finance Association, vol. 23(4), pages 589-609, September.
    9. Black, Fischer & Scholes, Myron S, 1973. "The Pricing of Options and Corporate Liabilities," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 637-654, May-June.
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    Cited by:

    1. Sabek Amine, 2023. "Unveiling the diverse efficacy of artificial neural networks and logistic regression: A comparative analysis in predicting financial distress," Croatian Review of Economic, Business and Social Statistics, Sciendo, vol. 9(1), pages 16-32, July.
    2. Adler Haymans Manurung & Derwin Suhartono & Benny Hutahayan & Noptovius Halimawan, 2023. "Probability Bankruptcy Using Support Vector Regression Machines," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 13(1), pages 1-3.

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    More about this item

    Keywords

    Debt equity ratio; Gross profit margin; Net profit margin; Time Interest Earned; Current ratio; Probability default.;
    All these keywords.

    JEL classification:

    • B26 - Schools of Economic Thought and Methodology - - History of Economic Thought since 1925 - - - Financial Economics
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • D53 - Microeconomics - - General Equilibrium and Disequilibrium - - - Financial Markets
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance
    • L71 - Industrial Organization - - Industry Studies: Primary Products and Construction - - - Mining, Extraction, and Refining: Hydrocarbon Fuels
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

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