An Approach to Predicting the Insolvency of Ukrainian Steel Enterprises Based on Financial Potential

Authors

  • Inna Neskorodeva Simon Kuznets Kharkiv National University of Economic
  • Svetlana Pustovgar Simon Kuznets Kharkiv National University of Economic

DOI:

https://doi.org/10.15549/jeecar.v2i2.104

Keywords:

Financial insolvency of steel companies, Diagnostics of enterprises insolvency, Enterprise financial potential, Enterprise financial stability.

Abstract

Author Biography

Svetlana Pustovgar, Simon Kuznets Kharkiv National University of Economic

Lecturer at the Department of Finance of Simon Kuznets Kharkiv National University of Economics.

References

Al-Kassar, T.A., Soileau, J.S. (2014). Financial performance evaluation and bankruptcy prediction (failure), Arab Economic and Business Journal, ?9(2), 147-155.

Blank, I. (2009). Fundamentals of Financial Management. Nika-Center, Elga, 512. (Original work written in Russian).

Borovikov, V.P. (2008). Neural networks. Statistica Neural Networks. Publishing house «Hot Line – Telecom», 372. (Original work written in Russian)

Buckley, J.J. (1987). The fuzzy mathematics of finance,Fuzzy Sets and Systems, ?21, 257-273.

Deductor. Analytic Management. Version 5.2. (2009). Company BaseGroup Labs, 192. (Original work written in Russian)

Dombrovskyi, V., Plastun, O. (2009). Taking into account the phase in enterprise life cycle as a factor of its bankruptcy prevention, Actual Problems of Economics, ?9 (99), 113-120. (Original work written in Ukrainian)

Fokina, N. (2013). Forecasting of crisis and bankruptcies of industrial enterprises, Actual Problems of Economics, ? 2(20), 76-79. (Original work written in Ukrainian)

Gryglewicz, S. (2011). A theory of corporate financial decisions with liquidity and solvency concerns, Journal of Financial Economics, ?99(2), 365-384.

Kaouthar, L. (2010). Corporate governance and bankruptcy ?ling decisions, Journal of General Management, ?4, 3-36.

Kizim, N.A, Blagun, I.S., Kopchak, Yu.S. (2004). Estimation and forecasting of insolvency of enterprises. Monograph, Publishing house «INZHEK», 144. (Original work written in Russian)

Klebanova, T.S., Bondar, O.M, Rayevneva, O.V. (2003). Bankruptcy and reorganization of enterprises: the theory and practice of crisis management. Monograph, Publishing house «INZHEK», 271. (Original work written in Ukrainian)

Kovda, N. (2010). Methodological Aspects of financial flows of the company, Socio-Economic Research Bulletin, ?40, 47-59. (Original work written in Ukrainian)

Matviychuk, A. (2010). Bankruptcy prediction in transformational economy: discriminant and fuzzy logic approaches, Fuzzy economic review, ?1, 21-38.

Neskorodeva, I., Pustovgar, S. (2013). Studying the essence of «enterprise insolvency» economic category, Economics of Development, ?3(67), 68-72.

Pustovgar, S. (2015). Determination of the levels of enterprises’ insolvency in a steel industry of Ukraine, Economy. Finance. Law, ?6/1, 15-21. (Original work written in Ukrainian).

Pustovgar, S. (2014). Determination of Complimentary and Destructive Environmental Factors, Evaluation of Their Influence on the Risk of Financial Insolvency for the Metallurgical Enterprises of Ukraine, Business Inform, ?11, 114-119. (Original work written in Ukrainian).

Sheremet, A., Sayful?n, R. (2009). Finance of Enterprises. Publishing house «INFRA-M», 387. (Original work written in Russian).

State Statistics Service of Ukraine (2015). Official web site. Retrieved August 3, 2015 from http://www.ukrstat.gov.ua

Tereschenko, A. (2003). Discriminant model of integrated assessment of the financial state of the enterprise,Economy of Ukraine, ?8, 38-44. (Original work written in Ukrainian)

Yakhyaeva, G.E. (2006). Fuzzy sets and neural networks. Publishing house «Binom», 482. (Original work written in Russian)

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Published

2015-10-31

How to Cite

Neskorodeva, I., & Pustovgar, S. (2015). An Approach to Predicting the Insolvency of Ukrainian Steel Enterprises Based on Financial Potential. Journal of Eastern European and Central Asian Research (JEECAR), 2(2), 11. https://doi.org/10.15549/jeecar.v2i2.104