Analyzing the Determinants of Financial Distress in Indonesian Mining Companies
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- Andualem Ufo Baza & K. Sambasiva Rao, 2017. "Financial Inclusion in Ethiopia," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 9(4), pages 191-201, April.
- Monica Violeta Achim & Nicolae Sorin Borlea & Ludovica Breban, 2010. "Financial Crisis and Accounting Information: The Need for Corporate Social Responsibility in Accounting Profession," European Research Studies Journal, European Research Studies Journal, vol. 0(3), pages 39-62.
- Geng, Ruibin & Bose, Indranil & Chen, Xi, 2015. "Prediction of financial distress: An empirical study of listed Chinese companies using data mining," European Journal of Operational Research, Elsevier, vol. 241(1), pages 236-247.
- Dimitras, A. I. & Zanakis, S. H. & Zopounidis, C., 1996. "A survey of business failures with an emphasis on prediction methods and industrial applications," European Journal of Operational Research, Elsevier, vol. 90(3), pages 487-513, May.
- Zmijewski, Me, 1984. "Methodological Issues Related To The Estimation Of Financial Distress Prediction Models," Journal of Accounting Research, John Wiley & Sons, Ltd., vol. 22, pages 59-82.
- Chiaramonte, Laura & Casu, Barbara, 2017. "Capital and liquidity ratios and financial distress. Evidence from the European banking industry," The British Accounting Review, Elsevier, vol. 49(2), pages 138-161.
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- Emmanouil Taxiarchis Gazilas, 2024. "Does Urban Fixed-Line Telecommunication Density Influence Profitability and Operational Efficiency in Greece's Telecommunications Industry?," Finance, Accounting and Business Analysis, University of National and World Economy, Institute for Economics and Politics, vol. 6(2), pages 228-239, December.
- Tekalign Negash Kebede & Getahun Deribe Tesfaye & Obsa Teferi Erana, 2024. "Determinants of financial distress: evidence from insurance companies in Ethiopia," Journal of Innovation and Entrepreneurship, Springer, vol. 13(1), pages 1-23, December.
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; ; ; ; ;JEL classification:
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
- O52 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Europe
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