Using accounting ratios in predicting financial distress: An empirical investigation in the Vietnam stock market

Financial distress prediction is an important and practical research topic for many stakeholders

and has attracted extensive studies over the past decades. This paper investigates the challenging

issue of financial distress in Vietnam by distinguishing “healthy” companies from “financially

distressed” companies using a data sample of firms listed on the Ho Chi Minh City Stock

Exchange. Employing the logistic regression model to predict financial distress with a unique

data set, we characterize the determinants of financial distress in terms of firm accounting and

financial ratios over the period from 2007 to 2012. The results indicate that financial ratios can be

employed as an early warning of financial distress as financial ratios are significantly correlated

with the probability of firm financial distress.

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3 24 0. 00 00 35 4. 95 22 0. 00 00 32 4. 40 49 0. 00 00 36 0. 25 32 0. 00 00 LE V ER A G E 0. 10 44 49 0. 90 32 -0 .1 05 49 9 0. 90 39 TU R N 1. 42 84 23 0. 00 07 1. 44 44 11 0. 00 06 S_ C A SH -0 .0 02 37 7 0. 11 41 -0 .0 02 46 7 0. 08 97 -0 .0 02 10 1 0. 13 94 -0 .0 02 04 3 0. 12 89 S_ R EC E 0. 19 86 04 0. 00 43 0. 17 17 23 0. 00 89 M cF ad de n R -s qu ar ed 0. 29 89 66 0. 29 84 55 0. 29 25 18 0. 28 31 48 Pr ob (L R st at is tic ) 0. 00 00 0. 00 00 0. 00 00 0. 00 00 O bs w ith D ep =0 36 36 36 36 O bs w ith D ep =1 94 6 94 6 94 6 94 6 M od el 5 M od el 6 M od el 7 M od el 8 V ar ia bl e C oe ff ic ie nt Pr ob . C oe ff ic ie nt Pr ob . C oe ff ic ie nt Pr ob . C oe ff ic ie nt Pr ob . C 1. 08 57 79 0. 00 1 1. 16 48 64 0. 00 02 2. 53 06 63 0. 00 00 2. 74 78 85 0. 00 00 W O C A 3. 48 77 55 0. 00 00 2. 44 46 58 0. 00 07 0. 84 76 24 0. 05 2 1. 34 02 99 0. 01 69 PR O FI T 1. 25 34 83 0. 02 1 0. 67 71 08 0. 11 58 -2 .0 13 27 1 0. 01 46 -1 .7 22 87 5 0. 03 56 EP S 78 .4 66 36 0. 00 01 LE V ER A G E 1. 25 71 75 0. 00 06 C A SH 77 .7 91 61 0. 00 01 96 .7 51 02 0. 00 00 92 .8 78 35 0. 00 00 TU R N 1. 16 32 16 0. 00 13 -0 .0 03 14 1 0. 01 12 S_ C A SH -0 .0 02 60 1 0. 04 79 -0 .0 02 79 4 0. 04 18 -0 .0 02 33 4 0. 05 48 S_ R EC E 0. 19 13 84 0. 00 28 0. 13 24 92 0. 01 97 M cF ad de n R -s qu ar ed 0. 21 74 75 0. 21 09 34 0. 19 30 98 0. 16 71 91 Pr ob (L R st at is tic ) 0. 00 00 0. 00 00 0. 00 00 0. 00 00 O bs w ith D ep =0 36 36 36 36 O bs w ith D ep =1 94 6 94 6 94 6 94 6 Journal of Economics and Development Vol. 17, No.1, April 201548 stakeholders have been concerned with individ- ual firm performance assessment. This study has been conducted to find out the relationship between a set of financial ratios and the proba- bility of financial distress for listed companies in Viet Nam one year prior to failure. It is generally believed that symptoms for financial distress of a firm can be observed prior to a state in which a firm encounters fi- nancial difficulty or even financial crisis. Our results indicate that firm financial ratios could be employed to analyze and predict an early warning of financial distress in firms. Indica- tors that could be employed to investigate the probability of firm financial distress are liquid- ity ratio, profitability ratio, cash flow ratio and asset turnover ratio as presented in the analysis. Our results provide strong practical impli- cations for both firm management, investors and authorities in evaluating firms and predict- ing firm financial distress. Firm management should focus attention on financial indicators over time and frequently evaluate these indi- cators to avoid leading firms into failure. Stock investors contemplate investing in firms should consider historical accounting indicators for stock selection. While holding stocks, inves- tors also need to employ these accounting in- dicators to frequently evaluate and rebalance their portfolio according to their stated strategy. Controlling and supervisory authorities should use the analysis of firm accounting indicators for their market management responsibility and provide early warning for investors to avoid in- formation asymmetry. References Altman, E.I. (1968), ‘Financial ratios, discriminant analysis and the prediction of corporate failure’, Journal of Finance, Vol. 23, No. 4, pp. 589-609. Altman, E.I., Haldeman, R.G. and Narayanan, P. (1977), ‘ZETA analysis A new model to identify bankruptcy risk of corporations’, Journal of Banking & Finance, Vol. 1, pp. 29-54. Altman, E.I. and Narayanan, P. (1996), ‘Business Failure Classification Models: An International Survey’, New York University, Leonard N. Stern School Finance Department Working Paper Seires. Andreev, Y.A. (2007), ‘Predicting financial distress of Spanish companies’, Autonomous University of Barcelona Working Paper. Aziz, A. and Lawson, G.H. (1989), ‘Cash Flow Reporting and Financial Distress Models: Testing of Hypotheses’, Financial Management, Vol. 18, No. 1, pp. 55-63. Bae, J.K. (2012), ‘Predicting financial distress of the South Korean manufacturing industries’, Expert Systems with Applications, Vol. 39, No. 10, pp. 9159-9165. Beaver, W.H. (1966), ‘Financial ratios as predictors of failure’, Journal of Accounting Research, Vol. 4, No. 3, pp. 71-111. Beaver, W.H. (1968), ‘Market Prices, Financial Ratios, and the Prediction of Failure’, Journal of Accounting Research, Vol. 6, No. 2, pp. 179-192. Charitou, A., Neophytou, E. and Charalanbous, C. (2004), ‘Predicting corporate failure: empirical evidence for the UK’, European Accounting Review, Vol. 13, No. 3, pp. 465-497. Deakin, E.B. (1972), ‘A Discriminant Analysis of Predictors of Business Failures’, Journal of Accounting Research, Vol. 10, No. 1, pp. 167-179. Journal of Economics and Development Vol. 17, No.1, April 201549 Eisenbeis, R.A. (1977), ‘Pitfalls in the Application of Discriminant Analysis in Business, Finance, and Economics’, The Journal of Finance, Vol. 32, No. 3, pp. 875-900. Elloumi, F. and Gueyié, J.-P. (2001), ‘Financial distress and corporate governance: an empirical analysis’, Corporate Governance, Vol. 1, No. 1, pp. 15-23. Karels, G.V. and Prakash, A.J. (1987), ‘Multivariate Normality and Forecasting of Business Bankruptcy’, Journal of Business Finance & Accounting, Vol. 14, No. 4, pp. 573-593. Lennox, C. (1999), ‘Identifying failing companies: a re-evaluation of the logit, probit and DA approaches’, Journal of Economics and Business, Vol. 51, No. 4, pp. 347–364. Martin, D. (1977), ‘Early warning of bank failure: A logit regression approach’, Journal of Banking & Finance, Vol. 1, No. 3, pp. 249-276. Nam, J.-H. and Jinn, T. (2000), ‘Bankruptcy Prediction: Evidence from Korean Listed Companies during the IMF Crisis’, Journal of International Financial Management & Accounting, Vol. 11, No. 3, pp. 178-197. Ohlson, J.A. (1980), ‘Financial ratios and the probabilistic prediction of bankruptcy’, Journal of Accounting Research, Vol. 18, No. 1, pp. 109-131. Ong, S.-W., Yap, V.C. and Khong, R.W.L. 2011, ‘Corporate failure prediction: a study of public listed companies in Malaysia’, Managerial Finance, Vol. 37, No. 6, pp. 553 - 564. Ugurlu, M. and Aksoy, H. (2006), ‘Prediction of corporate financial distress in an emerging market: the case of Turkey’, Cross Cultural Management: An International Journal, Vol. 13, No. 4, pp. 277-295. Westgaard, S. and Van der Wijst, N. (2001), ‘Default probabilities in a corporate bank portfolio: A logistic model approach’, European Journal of Operational Research, Vol. 135, No. 2, pp. 338-349. Wiginton, J.C. (1980), ‘A Note on the Comparison of Logit and Discriminant Models of Consumer Credit Behavior’, The Journal of Financial and Quantitative Analysis, Vol. 15, No. 3, pp. 757-770. Zavgren, C.V. (1983), ‘The prediction of corporate failure: the state of the art’, Journal of Accounting Literature, Vol. 2, pp. 1-37. Zmijewski, M.E. (1984), ‘Methodological Issues Related to the Estimation of Financial Distress Prediction Models’, Journal of Accounting Research, Vol. 22, pp. 59 - 82.

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