Determining the impact of financial performance factors on bankruptcy risk: an empirical study of listed real estate companies in Vietnam
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DOIhttp://dx.doi.org/10.21511/imfi.16(3).2019.27
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Article InfoVolume 16 2019, Issue #3, pp. 307-318
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The risk of bankruptcy is affected by many different factors. Therefore, identifying the groups of factors affecting bankruptcy risks, especially financial performance factors, are important and necessary. The study focused on the impact of financial performance on the bankruptcy risk of real estate companies listed on Vietnam’s stock exchange. Research data were collected from 44 real estate companies listed on Vietnam’s stock exchange from 2011 to 2017 with 308 observations. The study was conducted by the quantitative method based on the logistic regression model with the help of SPSS 25 specialized software. The research results show that Return on Assets (ROA), Return on Equity (ROE) and Total Asset Turnover (TAT) have significant reverse effects on bankruptcy risk, while Operating Profit Margin (OPM) is not a relevant factor. The accuracy rate of the overall predictive model is 90.9%. This study extends the scope of literature on the impact of financial performance on the bankruptcy risk of real estate companies. Moreover, this study offers the model of bankruptcy risk prediction of the listed real estate companies in Vietnam and recommends effective solutions to improve business efficiency, limit and prevent financial risks for listed real estate companies in Vietnam.
- Keywords
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JEL Classification (Paper profile tab)G32, G33, L25
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References23
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Tables7
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Figures2
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- Figure 1. Conceptual framework
- Figure 2. The research process
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- Table 1. Signs of bankruptcy risk observation
- Table 2. Statistic description
- Table 3. Descriptive statistics
- Table 4. Regression results
- Table 5. Assessing the fit of the regression model
- Table 6. Testing the fit of the model
- Table 7. Testing the predictive power of the model
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- Altman, E. I. (1968). Financial ratios, discriminant analysis and the prediction of corporate bankrupt. The Journal of Finance, 23(4), 589-609.
- Altman, E. I., Haldeman, R. G., & Narayanan, P. (1977). ZETA Analysis: New Model to Identify Bankruptcy Risk of Corporations. Journal of Banking and Finance, 1(1), 29-54.
- Altman, E. I., Heine, L. M., Zhang, L., & Yen, J. (2007). Corporate Financial Distress Diagnosis in China (Working paper). New York: New York University Salomon Center.
- Bandyopadhyay, A. (2006). Predicting Probability of Default of Indian Corporate Bonds: Logistic and Z-Score Model Approaches. Journal of Risk Finance, 7(3), 255-272.
- Beaver, W. H. (1966). Financial ratios as predictors of failure. Journal of Accounting Research, 4, 71-111.
- Eljelly, M. A. A., & Mansour, H. F. I. (2001). Predicting private companies failure in the Sudan. Journal of African Business, 2(2), 23-43.
- Erdogan, E. B. (2008). Bankruptcy Prediction of Turkish Commercial Banks Using Financial Ratios. Applied Mathematical Sciences, 2(60), 2973-2982.
- Fulmer, J. G., Moon, J. E., Gavin, T. A., & Erwin, M. J. (1984). A bankruptcy classification model for small firms. Journal of Commercial Bank Lending, 66(11), 25-37.
- Gu, Z. (2002). Analyzing bankruptcy in the restaurant industry: a multiple discriminant model. International Journal of Hospitality Management, 21(1), 25-42.
- Hanoi Stock Exchange. (2018, September 25). Information Disclosure.
- Hoang, T. (2011). Analysis the Corporate Credit Risk by Logistic Model. Journal of Science and Technology. University of Da Nang.
- HoChiMinh Stock Exchange. (2018). Annual Report 2018.
- Kim, B. J. (2007). Bankruptcy Prediction: Book Value or Market Value? Korean Insurance Journal, 7, 55-97.
- Kolari, J., Glennon, D., Shin, H., & Caputo, M. (2002). Predicting large US commercial bank failures. Journal of Economics and Business, 54(4), 361-387.
- Nguyen, H. T. (2009). Establishing a credit scoring model for enterprises in Vietnam during the period of economic transformation (Doctoral Thesis). Hanoi, Vietnam: National Economics University.
- Nguyen, K. B. (2012). Factors affecting bankruptcy in enterprises in Dong Nai province (Master Thesis). University of Economics Ho Chi Minh City.
- Ohlson, J. (1980). Financial ratios and the probabilistic prediction of bankruptcy. Journal of Accounting Research, 18(1), 109-131.
- Press, S. J., & Wilson, S. (1978). Choosing Between Logistic Regression and Discriminant Analysis. Journal of the American Statistical Association, 73(364), 699-705.
- Puagwatana, S., & Gunawardana, K. D. (2005). Logistic Regression Model for Business Failure Predictions of the Technology Industry in Thailand. International Journal of the Computer, the Internet and Management (IJCIM), 13, 181-184.
- State Securities Commission of Vietnam. (2018, August 14). Company listed companies?
- Tatsiana, N. R. (2006). Analysis and Estimate of the Enterprises Bankruptcy Risk. Republic of Belarus: State Economic university.
- VOV.VN. (2018). The dissolved real estate business increased the highest.
- Zhang, L., Chen, S., Yen, J, Altman, I. A., & Heine, M. L. (2007). Corporate Financial Distress Diagnosis in China (Salomon Center Working Paper). Natural Science Foundation of China (NSFC).