Factors Determining Z-score and Corporate Failure in Malaysian Companies
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DOI: 10.31219/osf.io/ke8ab
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- Nurul Izzaty Hasanah Azhar & Norziana Lokman & Md. Mahmudul Alam & Jamaliah Said, 2021. "Factors determining Z-score and corporate failure in Malaysian companies," International Journal of Economics and Business Research, Inderscience Enterprises Ltd, vol. 21(3), pages 370-386.
- Nurul Izzaty Hasanah Azhar & Norziana Lokman & Md. Mahmudul Alam & Jamaliah Said, 2021. "Factors determining Z-score and corporate failure in Malaysian companies," Post-Print hal-03520192, HAL.
References listed on IDEAS
- 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.
- Emin Zeytınoglu & Yasemin Deniz Akarım, 2013. "Financial Failure Prediction Using Financial Ratios: An Empirical Application on Istanbul Stock Exchange," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 3(3), pages 1-8.
- du Jardin, Philippe & Séverin, Eric, 2011.
"Predicting corporate bankruptcy using a self-organizing map: An empirical study to improve the forecasting horizon of a financial failure model,"
MPRA Paper
44262, University Library of Munich, Germany.
- P. Du Jardin & E. Séverin, 2011. "Predicting Corporate Bankruptcy Using Self-Organising map: An empirical study to Improve the Forecasting horizon of financial failure model," Post-Print hal-00801878, HAL.
- Altman, Edward I. & Haldeman, Robert G. & Narayanan, P., 1977. "ZETATM analysis A new model to identify bankruptcy risk of corporations," Journal of Banking & Finance, Elsevier, vol. 1(1), pages 29-54, June.
- Jane Haider & Zhirong Ou & Stephen Pettit, 2019. "Predicting corporate failure for listed shipping companies," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 21(3), pages 415-438, September.
- Nisansala Wijekoon & A. Abdul Azeez, 2015. "An Integrated Model to Predict Corporate Failure of Listed Companies in Sri Lanka," International Journal of Business and Social Research, LAR Center Press, vol. 5(7), pages 1-14, July.
- Mitroussi, K. & Abouarghoub, W. & Haider, J.J. & Pettit, S.J. & Tigka, N., 2016. "Performance drivers of shipping loans: An empirical investigation," International Journal of Production Economics, Elsevier, vol. 171(P3), pages 438-452.
- Roshayani Arshad & Sharinah Mohamed Iqbal & Normah Omar, 2015. "Prediction of Business Failure and Fraudulent Financial Reporting: Evidence from Malaysia," Indian Journal of Corporate Governance, , vol. 8(1), pages 34-53, June.
- 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.
- Yusuf Ali Al-Hroot, 2016. "A Comparison of Jordanian Bankruptcy Models: Multilayer Perceptron Neural Network and Discriminant Analysis," International Business Research, Canadian Center of Science and Education, vol. 9(12), pages 121-130, December.
- Amith Vikram Megaravalli & Gabriele Sampagnaro, 2018. "Firm age and liquidity ratio as predictors of firm growth: evidence from Indian firms," Applied Economics Letters, Taylor & Francis Journals, vol. 25(19), pages 1373-1375, November.
- Liang, Deron & Lu, Chia-Chi & Tsai, Chih-Fong & Shih, Guan-An, 2016. "Financial ratios and corporate governance indicators in bankruptcy prediction: A comprehensive study," European Journal of Operational Research, Elsevier, vol. 252(2), pages 561-572.
- Syahida Binti & Zeni & Rashid Ameer, 2010. "Turnaround prediction of distressed companies: evidence from Malaysia," Journal of Financial Reporting and Accounting, Emerald Group Publishing Limited, vol. 8(2), pages 143-159, October.
- Amendola, Alessandra & Restaino, Marialuisa & Sensini, Luca, 2015. "An analysis of the determinants of financial distress in Italy: A competing risks approach," International Review of Economics & Finance, Elsevier, vol. 37(C), pages 33-41.
- Nisansala Wijekoon & A. Abdul Azeez, 2015. "An Integrated Model to Predict Corporate Failure of Listed Companies in Sri Lanka," International Journal of Business and Social Research, MIR Center for Socio-Economic Research, vol. 5(7), pages 1-14, July.
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NEP fields
This paper has been announced in the following NEP Reports:- NEP-BAN-2022-03-21 (Banking)
- NEP-CFN-2022-03-21 (Corporate Finance)
- NEP-RMG-2022-03-21 (Risk Management)
- NEP-SEA-2022-03-21 (South East Asia)
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