Acta Univ. Agric. Silvic. Mendelianae Brun. 2016, 64(3), 1021-1036 | DOI: 10.11118/actaun201664031021

Corporate Negative Equity: The Evidence from the European Union

Natalia Mokhova, Marek Zinecker
Department of Economics, Faculty of Business and Management, Brno University of Technology, Antonínská 548/1, 601 90 Brno, Czech Republic

After the Global Financial Crisis the frequency of reported losses of companies has increased significantly in countries of the European Union. Moreover, the financial leverage of companies have increased and even exceeded 100% in several countries. The reason of this development is negative equity that companies find themselves to report. At first sight negative equities are caused by accumulated losses from prior periods. However, there are some other reasons that can result in increasing negative equities in companies. They remain adequate as long as a company is able to pay its bills. Nevertheless, a company with negative equity is exposed to risks. This paper investigates whether the corporate negative equity is a sign of the future failure of a company. We examine non-financial manufactured companies from selected countries of the European Union within the period 2005-2012 from database Amadeus (Czech Republic, Slovakia, Hungary, Poland and Germany). By the means of comparison between negative and positive equities we applied descriptive statistics and Pearson correlation analysis. We find that in all surveyed countries the size positively influences the equity of companies. Other factors as profitability and growth opportunities do not influence the corporate equity. In addition the binary logistic regression analysis has been conducted based on the evidence from Czech companies. Our results indicate that negative equities are not a sign of bankruptcy or insolvency of a company. But the low profitability or low business activities (that are predictors of bankruptcy) might lead to negative equities in the balance sheet.

Keywords: business cycle, financial crisis, corporate economics, European Union

Prepublished online: July 4, 2016; Published: July 1, 2016  Show citation

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Mokhova, N., & Zinecker, M. (2016). Corporate Negative Equity: The Evidence from the European Union. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis64(3), 1021-1036. doi: 10.11118/actaun201664031021
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References

  1. ANG, T. C. 2010. Are firms with negative book equity in financial distress? In: Finance and corporate governance conference 2010. [Online]. Available at: http://ssrn.com/abstract=1533964%20. Go to original source...
  2. BROWN, P., LAJBCYGIER, B. and LI, S. 2008. Going negative: what to do with negative boo equity stocks. The journal of portfolio management, 35(1): 95-102. DOI: 10.3905/JPM.2008.35.1.95 Go to original source...
  3. BULKLEY, G., HARRIS, R. and HERRERIAS, R. 2004. Why does book-to-market value of equity forecast cross-section stock returns? International review of financial analysis, 13(2): 153-160. DOI: 10.1016/j.irfa.2004.02.002 Go to original source...
  4. FRANK, M. Z. and GOYAL, V. K. 2009. Capital structure decisions: which factors are reliably important? Financial management, 38(1): 1-37. DOI: 10.1111/j.1755-053X.2009.01026.x Go to original source...
  5. IVSC. ©2016. International Valuation Standards. Available at: http://www.ivsc.org.
  6. JAN, C.-L. and OU, J. A. 2012. Negative-book-value firms and their valuation. Accounting horizons, 26(1): 91-110. DOI: 10.2308/acch-50094 Go to original source...
  7. JOHNSON, R. and DEAN, W. W. 1992. Applied multivariate statistical analysis. Prentice Hall.
  8. KONTAKI, M., GOUNARIS, A., PAPADOPOULOS, A., TSICHLAS, K. and MANOLOPOULOS, Y. 2015. Efficient and flexible algorithms for monitoring distance-based outliers over data streams. Information systems, 55: 37-53. DOI: 10.1016/j.is.2015.07.006 Go to original source...
  9. KOUKI, M. and SAID, H. B. 2012. Capital structure determinants: new evidence from French panel data. International journal of business and management, 7(1): 214-229. Go to original source...
  10. LIM, T. C. 2012. Determinants of capital structure: Empirical evidence from financial services listed firms in China. International journal of economics and finance, 4(3): 191-203. DOI: 10.5539/ijef.v4n3p191 Go to original source...
  11. MACIÁ-PÉREZ, F., BERNA-MARTINEZ, J. V., OLIVA, A. F. and ORTEGA, M. A. A. 2015. Algorithm for the detection of outliers based on the theory of rough sets. Decision support systems, 75: 63-75. DOI: 10.1016/j.dss.2015.05.002 Go to original source...
  12. MICHAELAS, N., CHITTENDEN, F. and POUTZIORIS, P. 1999. Financial policy and capital structure choice in U.K. SMEs: empirical evidence from company panel data. Small business economics, 12(2): 113-130. DOI: 10.1023/A:1008010724051 Go to original source...
  13. MOKHOVA, N. and ZINECKER, M. 2013. Liquidity, probability of bankruptcy and the corporate life cycle: the evidence from Czech Republic, Int. J. of globalization and small business, 5(3): 189-208. DOI: 10.1504/IJGSB.2013.054912 Go to original source...
  14. OZKAN, A. 2001. Determinants of capital structure and adjustment to long run target: evidence from UK company panel data. Journal of business finance and accounting, 28(1-2): 175-198. DOI: 10.1111/1468-5957.00370 Go to original source...
  15. SEDLÁČEK, J. 2009. Finanční analýza podniku. Computer press, a. s.

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