N. Baltes, PhD, Professor, A.-G.-M. Dragoe, PhD Student Lucian Blaga University of Sibiu, Sibiu, Romania STUDY REGARDING THE ASSESSMENT OF THE FINANCIAL STABILITY OF THE ECONOMIC ENTITIES

The research presents both theoretical and practicalthe evolution of the financial stability assessed through the solvency indicators, the real economic growth rate and the GDP deflator in the manufacturing companies from Romania, through the Vec­tor Autoregression Model (VAR). The sample consists in 36 companies belonging to the manufacturing industry in Romania, listed on the Bucharest Stock Exchange, on the first and second category. The study is conducted during the period 2007-2014 and demonstrated the fact that a change in the real economic growth causes a positive change in the GDP deflator. Not lastly, the change of the real economic growth also determines a positive change of the patrimonial solvency, and a change in the GDP deflator produces a reduction of the patrimonial solvency.

Keywords: patrimonial solvency,real economic growth,GDPdeflator, Vector Autoregression Model.

Date of submission 20.05.16

DOI: https://doi.org/10.17721/1728-2667.2016/188-11/2


  1. Akerlof G.A., Dickens W, PerryThe macroeconomics of low inflation. Brookings Papers on Economic Activity, 1996.
  2. Baltes N., Vasiu D. E. Analiza performantei financiare a entitatii economice. Editura Universitatii „Lucian Blaga” din Sibiu, 2015. pp. 104.
  3. Codirla§u A, Moinescu B., Chidesciuc N. A, Econometrie avansata, 2010.
  4. Hatanaka M. Time-Series-Based Econometrics: Unit Roots and Co-Integration.Oxford University Press, Oxford,1996.
  5. EViews,EViews0. User’s Guide. Quantitative Micro Software, Irvine, CA.2000.
  6. Floyd J. E., Vector Autoregression Analysis: Estimation and Interpretation, 2005, pp. 1-36.
  7. Geamanu M, VAR analysis on Foreign Direct Investment in Romania,Revista Economie Teoretica si aplicata, 2014 – Vol. XXI, Nr. 4(593). – P. 39-52.
  8. Keen S., Finance and Economic Breackdown: Modeling Minsky’s “Financial Instability Hypothesis”, Journal of Post Keynesian Economics,1965 – vol. 17, no 4. – p.613.
  9. Lutkepohl, Vector autoregressive and vector error correction models, in H. Lutkepohl and M. Kratzig, Applied Time Series, Econometrics, Cambridge University Press, Cambridge, 2004, pp.86-158.
  10. Lutkepohl, New Introduction to Multiple Time Series Analysis. Springer-Verlag, Berlin, 2005.
  11. Luetkepohl,Vector Autoregressive Models European.University Institute, Department of Economics, EUI Working Papers, ECO 2011/30, 2011.
  12. , Analiza economico-financiara a intreprinderii: probleme, abordari, metode, aplicatii.Editia a 2-a, rev., Bucuresti, Editura Economica,2009, p. 442.
  13. Pauna, B., Modelarea si evaluarea impactului investitiilor directe, nationale si international asupra pietei muncii si evolutiei macroeconomice din Romania-metode VAR §i VEC, 2007.
  14. Sims C. A., Macroeconomics and Reality, Econometrica1980 -48 (1) – pp.1-48.
  15. http://www.asecib.ase.ro/Roman/am/cap2.pdf
  16. http://ec.europa.eu/eurostat