Predicting Financial Distress Distribution of Companies
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Purpose: Predicting the financial distress distribution of an enterprise is important to warn enterprises about their future. Predicting the possibility of financial distress helps companies have action plans to avoid the possibility of bankruptcy. In this study, the author conducted a forecast of the financial distress distribution of enterprises. Research design, data and methodology: The forecasting method is based on Logit and Discriminant analysis models. The data was collected from companies listed on Vietnam Stock Exchange from 2012 to 2020. In which there are both companies suffer from financial distress and non-financial distress. Results: The forecast analysis results show that the Logistic model has better predictability than the Discriminant analysis model. At the same time, the results also indicate three main factors affecting the financial distress of enterprises at all three research stages: (1) Liquidity, (2) Interest payment, and (3) firm size. In addition, at each stage, the impact of factors on financial distress differs. Conclusions: From the results of this study, the author also made several recommendations to help companies better control company operations to avoid falling into financial distress. Adjustments to current assets, debt, and company expansion considerations are the most important factors for companies.
Abstract
Purpose: Predicting the financial distress distribution of an enterprise is important to warn enterprises about their future. Predicting the possibility of financial distress helps companies have action plans to avoid the possibility of bankruptcy. In this study, the author conducted a forecast of the financial distress distribution of enterprises. Research design, data and methodology: The forecasting method is based on Logit and Discriminant analysis models. The data was collected from companies listed on Vietnam Stock Exchange from 2012 to 2020. In which there are both companies suffer from financial distress and non-financial distress. Results: The forecast analysis results show that the Logistic model has better predictability than the Discriminant analysis model. At the same time, the results also indicate three main factors affecting the financial distress of enterprises at all three research stages: (1) Liquidity, (2) Interest payment, and (3) firm size. In addition, at each stage, the impact of factors on financial distress differs. Conclusions: From the results of this study, the author also made several recommendations to help companies better control company operations to avoid falling into financial distress. Adjustments to current assets, debt, and company expansion considerations are the most important factors for companies.
참고문헌 (15)
- Altman, E., "Constrained Markov Decision Processes:Stochastic Modeling" (1999), Routledge
- Altman, E. I., "Financial Ratios, Discriminant Analysis and the Prediction of Corporate Bankruptcy", The Journal of Finance, 23(4), pp.589~ (1968)[DOI]
- Altman, E. I., "A Further Empirical Investigation of the Bankruptcy Cost Question", Journal of Finance, 39(4), pp.1067~1089 (1984)[DOI]
- Angassa, A., "Effects of grazing intensity and bush encroachment on herbaceous species and rangeland condition in Southern Ethiopia", Land Degradation and Development, 25(5), pp.438~451 (2014)[DOI]
- Beaver, W. H., "Financial Ratios as Predictors of Failure", Journal of Accounting Research, 4(1), pp.71~ (1966)[DOI]
- Ding, G., "Magnetic Resonance Imaging Investigation of Axonal Remodeling and Angiogenesis after Embolic Stroke in Sildenafil-Treated Rats", 28(8), pp.1440~1448 (2008)[DOI]
- Fitzpatrick., "Transitional Stages of a Business Failure on JSTOR", Accounting Review, 9(4), pp.337~340 (2022)[DOI]
- Jensen, M. C., "Active investors, Lbos, and the privatization of bankruptcy", Journal of applied corporate finance, 2(1), pp.35~44 (1989)
- Lin, L., "Predicting parameters of degradation succession processes of Tibetan Kobresia grasslands", Solid Earth, 6(4), pp.1237~1246 (2015)[DOI]
- Ohlson, J. A., "Financial Ratios and the Probabilistic Prediction of Bankruptcy", Journal of Accounting Research, 18(1), pp.109~ (1980)[DOI]
- Opler, T. C., "Financial Distress and Corporate Performance", The Journal of Finance, 49(3), pp.1015~1040 (1994)[DOI]
- Ross, S., "SUMO-1Modification Represses Sp3 Transcriptional Activation and Modulates Its Subnuclear Localization", Molecular Cell, 10(4), pp.831~842 (2002)[DOI]
- Whitaker, R. B., "The early stages of financial distress", Journal of Economics and Finance, 23(2), pp.123~132 (1999)[DOI]
- Zmijewski, M. E., "Methodological Issues Related to the Estimation of Financial Distress Prediction Models", Journal of Accounting Research, 22(1), pp.59~ (1984)[DOI]
- Zopounidis, C., "A Multicriteria Decision Aid Methodology for Sorting Decision Problems : The Case of Financial Distress", Computational Economics, 14(3), pp.197~218 (1999)[DOI]