Prediction of Financial Distress Companies in the Consumer Products Sector in Malaysia

Authors

  • Mohd Norfian Alifiah Department of Accounting and Finance, Faculty of Management and Human Resource Development, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor
  • Norhana Salamudin Universiti Teknologi MARA, Shah Alam, Malaysia
  • Ismail Ahmad Universiti Teknologi MARA, Shah Alam, Malaysia

DOI:

https://doi.org/10.11113/jt.v64.1181

Keywords:

Bankruptcy, financial distress, consumer products sector, Malaysia

Abstract

This study attempts to predict financial distress companies in the consumer products sector in Malaysia using financial distress companies as the dependent variable and financial ratios as the independent variables. Logit Analysis was used as the analysis procedure because financial ratios do not have to be normal if it is used. It is also suitable when the dependent variable is binary in nature. Furthermore, it can also provide the probability of a company being financially distress. In addition, it can also provide us with the sign of the independent variable(s). This study found that the independent variables that can be used to predict financial distress companies in the consumer products sector in Malaysia were debt ratio, total assets turnover ratio and working capital ratio. The findings from the internal validation showed that the prediction model provided a more than 50% chance that the model is accurate for five years before distress. Furthermore, the findings from the external validation showed that the model might be able to be used outside the estimation time period because the overall percentage accuracy were higher than 50% for five years before distress.

 

Author Biography

  • Mohd Norfian Alifiah, Department of Accounting and Finance, Faculty of Management and Human Resource Development, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor
    Department of Management

References

Alkhatib, K., & Al Bzour, A. 2011. Predicting Corporate Bankruptcy of Jordanian Listed Companies: Using Altman and Kida Models. International Journal of Business and Management. 6(3): 208–215.

Altman, E. I. 1968. Financial Ratios, Discriminant Analysis and the Prediction of Corporate Bankruptcy. Journal of Finance. 23(4): 589–609.

Aziz, A., & Dar, H. 2006. Predicting corporate Bankruptcy: Where We Stand? Corporate Governance. 6(1): 18–33.

Barnes, P. 1987. The Analysis and Use of Financial Ratios: A Review Article. Journal of Business Finance & Accounting. 14(4): 449–461.

Beaver, W. H. 1966. Financial Ratios as Predictors of Failure. Journal of Accounting Research. 4(3): 71–111.

Chin, N. S. 2005. Prediction of Corporate Failure: A Study of the Malaysian Corporate Sector. Unpublished Ph.D. Dissertation, Multimedia University, Malaysia.

Doumpos, M., & Zopounidis, C. 1999. A multicriteria Discrimination Method for the Predictionof Financial Distress: The Case of Greece. Multinational Finance Journal. 3(2): 71–101.

Fauzias, M. N., & Chin, Y. F. 2001. Z-Score Revisited: Its Applicability in the Prediction of Bankruptcy in the Malaysian Environment. Paper Presented at the Malaysian Finance Association Third Annual Symposium, Malaysia.

Ganesalingam, S., & Kuldeep, K. 2001. Detection of Financial Distress Via Multivariate Statistical Analysis. Managerial Finance. 27(4): 45–55.

Gujarati, N. D. 1995. Basic Econometrics. 3rd ed. Singapore: McGraw Hill International Editions.

Karbhari, Y., & Zulkarnain, M. S. 2004. Prediction of Corporate Financial Distress: Evidence from Malaysian Listed Firms During the Asian Financial Crisis. Unpublished Working Paper. Social Science Research Network.

Karels, G. V., & Prakash, A. J. 1987. Multivariate normality and Forecasting of Business Bankruptcy. Journal of Business Finance & Accounting. 14(4): 573–593.

Keasey, K., & Watson, R. 1991. Financial Distress Prediction Models: A Review of Their Usefulness. British Journal of Management. 2(2): 89–102.

Laitinen, T., & Kankaanpaa, M. 1999. Comparative Analysis of Failure Prediction Methods: The Finnish case. European Accounting Review. 8(1): 67–92.

Lakshan, A. M. I., & Wijekoon, W. M. H. N. 2012. Predicting Corporate Failure of Listed Companies in Sri Lanka. GSTF Business Review (GBR). 2(1): 180–185.

Li, J. 2012. Prediction of Corporate Bankruptcy from 2008 through 2011. Journal of Accounting and Finance. 12(1): 31–41.

Low, S. W., Fauzias, M. N., & Yatim, P. 2001. Predicting Corporate Financial Distress Using Logit Model: The Case of Malaysia. Asian Academy of Management Journal. 6(1): 49–62.

Mensah, Y. M. 1984. An Examination of the Stationarity of Multivariate Bankruptcy Prediction Models: A Methodological Study. Journal of Accounting Research. 22(1): 380–395.

Mohamad Isa, H., Annuar, M. N., Shamsher, M., & Taufiq, H. 2005. Prediction of corporate Financial Distress of PN4 Companies in Malaysia: A Logistic Model Approach. Journal of Restructuring Finance. 2(2): 143–155.

Mohamed, S., Ang, J. L., & Sanda, A. U. 2001. Predicting Corporate Failure in Malaysia: An Application of the Logit Model to Financial Ratio Analysis. Asian Academy of Management Journal. 6(1): 99–118.

Mohmad Isa, H. 2004. Determination of Capital Structure and Prediction of Corporate Financial Distress in Malaysia. Unpublished Ph.D. Dissertation, Universiti Putra Malaysia.

Monti, N. E., & Garcia, R. M. 2010. A Statistical Analysis to Predict Financial Distress. Journal of Service Science and Management. 3(3): 309–335.

Nam, J. H., & Taehong, J. 2000. Bankruptcy Prediction: Evidence from Korean Listed Companies during the IMF crisis. Journal of International Financial Management & Accounting. 11(3): 178–197.

Nur Adiana, H. A., Rohani, M. R., & Abd. Halim, A. 2007. Factors contributing to Financially Distressed Companies. Paper presented at the Malaysian Finance Association 9th Annual Conference, Malaysia.

Ohlson, J. A. 1980. Financial Ratios and the Probabilistic Prediction of Bankruptcy. Journal of Accounting Research. 18(1): 109–131.

Pallant, J. 2007. SPSS Survival Manual: A Step by Step Guide to Data Analysis using SPSS. Third ed. New South Wales: Allen & Unwin.

Tew, Y. H., & Enylina, N. 200). Predicting Corporate Financial Distress Using Logistic Regression: Malaysian Evidence. Unpublished Working Paper. Universiti Teknologi Mara.

Wang, Y., & Campbell, M. 2010. Business Failure Prediction for Publicly Listed Companies in China. Journal of Business and Management. 16(1): 75–88.

Zavgren, C. V. (1985). Assessing the Vulnerability to Failure of American Industrial Firms: A Logistic Analysis. Journal of Business Finance & Accounting. 12(1): 19–45.

Zulkarnain, M. S., & Karbhari, Y. 2004. Bankruptcy Prediction During the IMF Crisis: Evidence From Malaysian Listed Industrial Companies. Unpublished Working Paper. Social Science Research Network.

Zulkarnain, M. S., Mohamad Ali, A. H., Annuar, M. N., & Zainal Abidin, M. 2001. Forecasting Corporate Failure in Malaysian Industrial Sector Firms. Asian Academy of Management Journal. 6(1): 15–30.

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Published

2013-09-18

Issue

Section

Social Sciences

How to Cite

Prediction of Financial Distress Companies in the Consumer Products Sector in Malaysia. (2013). Jurnal Teknologi (Sciences & Engineering), 64(1). https://doi.org/10.11113/jt.v64.1181