Acta Univ. Agric. Silvic. Mendelianae Brun. 2018, 66(2), 409-421 | DOI: 10.11118/actaun201866020409

The Use of the Altman Model in Evaluation of Economic Performance of a Corporation in the Crisis Period in the Building Sector in the Czech Republic

Marcela Basovníková, Miloš Konečný, Roman Dubový, Andrea Masařová
Department of Business Economics, Faculty of Business and Economics, Mendel University in Brno, Zemědělská 1, 613 00 Brno, Czech Republic

The article is focused on verification of the presumption of poor financial management in companies operating in the building sector. Many authors have written about a financial situation of enterprises in the building sector, especially after the economic crisis in the year 2008, when some of them claim and their results confirm that the main reason of bankruptcy of these companies was not the economic crisis but mainly poor financial management. Our results, which were obtained especially by the method of financial analysis and further by a mathematical and statistical method, support this statement. Within the mathematical and statistical methods, there was return on equity used as an explanatory variable, mainly because all variants of the Altman Z-Score are based on the calculation of ratio indicators, which do not include this type of return. Based on the conducted tests it is possible to state that it is highly desirable for the monitored enterprises in the building industry to reach positive values of return on equity.

Keywords: building industry, bankruptcy, financial situation, Altman model, sales, economic performance

Published: May 2, 2018  Show citation

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Basovníková, M., Konečný, M., Dubový, R., & Masařová, A. (2018). The Use of the Altman Model in Evaluation of Economic Performance of a Corporation in the Crisis Period in the Building Sector in the Czech Republic. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis66(2), 409-421. doi: 10.11118/actaun201866020409
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References

  1. ALTMAN, E. I. 1968. Financial ratios, discriminant analysis and the prediction of corporate Bankruptcy. The journal of finance, 23(4): 589-609. DOI: 10.1111/j.1540-6261.1968.tb00843.x Go to original source...
  2. ALTMAN, E. I. 1983. Corporate financial distress: A complete guide to predicting, avoiding and dealing with bankruptcy. New York: John Wiley & Sons.
  3. ALTMAN, E. I., 1993. Corporate Financial Distress and Bankruptcy. New York: John Wiley & Sons.
  4. ALTMAN, E., HARTZELL, J. and PECK, M. 1995. Emerging Market Carporate Bonds: A Scoring System. New York: Salomon Brothers.
  5. ALTMAN, E. I. 2002. Corporate distress prediction models in a turbulent economic and Basel II environment. New York University Working Paper No S-CDM-02-11. New York University.
  6. ALTMAN, E. I. 2000. Predicting Financial Distress of Companies: Revisiting the Z-Score and Zeta Models. Chicago: Stern School of Business, New York University.
  7. ALTMAN, E. I. and RIJKEN, H. A. 2004. How rating agencies achieve rating stability. Journal of Banking & Finance, 28(11): 2679-2714. DOI: 10.1016/j.jbankfin.2004.06.006 Go to original source...
  8. ALTMAN, E. I., 2005. An emerging market credit scoring system for corporate bonds. Emerging Markets Review, 6(4): 311-323. DOI: 10.1016/j.ememar.2005.09.007 Go to original source...
  9. ALTMAN, E. I. and HOTCHKISS, E. 2006. Corporate financial distress and bankruptcy: predict and avoid bankruptcy, analyze and invest in distressed debt. Hoboken: Wiley. Go to original source...
  10. BALOI, D. and PRICE, A. D. 2003. Modelling global risk factors affecting construction cost performance. International journal of project management, 21(4): 261-269. DOI: 10.1016/S0263-7863(02)00017-0 Go to original source...
  11. ERKENS, D. H., HUNG, M. and MATOS, P. 2012. Corporate governance in the 2007 - 2008 financial crisis: Evidence from financial institutions worldwide. Journal of Corporate Finance, 18(2): 389-411 DOI: 10.1016/j.jcorpfin.2012.01.005 Go to original source...
  12. GRICE, J. S. and INGRAM, R. W. 2001. Tests of the generalizability of Altman's bankruptcy prediction model. Journal of Business Research, 54(1): 53-61. DOI: 10.1016/S0148-2963(00)00126-0 Go to original source...
  13. KUBĚNKA, M. and KRÁLOVÁ, V. 2013. Use the Z" SCORE for the financial health assessment of the construction industry [in Czech: Využití Z''Score při hodnocení finančního zdraví odvětví stavebnictví]. E+ M Ekonomie a Management, 16(1): 101-112.
  14. LEE, S. and CHOI, W. 2013. A multi-industry bankruptcy prediction model using back-propagation neural network and multivariate discriminant analysis. Expert Systems with Applications, 40(8): 2941-2946. DOI: 10.1016/j.eswa.2012.12.009 Go to original source...
  15. NEUMAIEROVÁ, I., 2005. Management of business or do not make a mystery out of business [in Czech: Řízení hodnoty podniku, aneb, Nedělejme z podniku záhadu]. Praha: Profess Consulting.
  16. NEUMAIEROVÁ, I. and NEUMAIER, I. 2014. INFA Performance Indicator Diagnostic System. Central European Business Review, 3(1): 35. DOI: 10.18267/j.cebr.73 Go to original source...
  17. NG, S. T., WONG, J. M. W. and ZHANG, J. 2011. Applying Z-score model to distinguish insolvent construction companies in China. Habitat International, 35(4): 599-607. DOI: 10.1016/j.habitatint.2010.03.003 Go to original source...
  18. PARRINO, R. and KIDWELL, D. S. 2009. Fundamentals of Corporate Finance. Wiley.
  19. REŽŇÁKOVÁ, M., 2010. Management of solvency of business [in Czech: Řízení platební schopnosti podniku]. Praha: Grada Publishing.
  20. SPICKA, J. 2013. The financial condition of the construction companies before Bankruptcy. European Journal of Business and Management, 5(23): 160-170.
  21. SUEYOSHI, T. and GOTO, M. 2009. DEA-DA for bankruptcy-based performance assessment: Misclassification analysis of Japanese construction industry. European Journal of Operational Research, 199(2): 576-594. DOI: 10.1016/j.ejor.2008.11.039 Go to original source...
  22. XU, K. and YANG, Y. 2016. Enterprise Financing Modeling Based on Information Asymmetry.

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