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Abstrakty
The purpose of the article is to study the method of extrapolation, highlighting the effectiveness of the financial activity of JSC «ZAZ» and for its future development. In the process of analyzing and exploring the scientific work of many scientists, effectiveness of using the extrapolation method for predicting performance was determined. As a result of research in the article analyzes the financial position of the enterprises of mechanical engineering in modern conditions, the efficiency of working capital in recent years determined. The feasibility of using the method of extrapolation in terms of instability of the market economy was investigated and proved. The forecast of working capital and total sales was made. It is offered to use in research the linear correlation coefficient of the pair, the method of least deviation, t – Student's criterion. Data obtained on the basis of the forecast enables businesses to improve their performance, to compete at a high level with other entities to establish a system of sales, to avoid crises in the future, increase profits and develop programs to reduce costs. Prospects for further research in this area will improve and develop an integrated system of economic methods on prediction performance of engineering enterprises based on current market position and variability of the environment.
Czasopismo
Rocznik
Tom
Strony
23--28
Opis fizyczny
Bibliogr. 21 poz., tab., wykr., wz.
Twórcy
autor
- Department of finance and credit, State Higher Educational Institution «Zaporizhzhya National University»
autor
- Department of finance and credit, State Higher Educational Institution «Zaporizhzhya National University»
Bibliografia
- 1. Bozkho V. P. Methodology of planning and mathematical processing factorial experiments in the financial and economic problems / V. P. Bozkho, G. С. Sinko and I. J. Karatseva. – H. : Nat. aerokosm. univ. them. M. E. Zhukovsky «Hark. aviation. inst», 2011. – 51. (Ukraine)
- 2. Vitlinskiy V. V. Modelling economy : studies guidances. / V. V. Vitlinskiy. – K. : KNEU, 2005. – 408. (Ukraine)
- 3. Kasyanenko V. O. Modeling and forecasting of the economic processes. Lecture : teach. guidances. / V. O. Kasyanenko and L. V. Starchenko. – Amounts : SHS «University Book», 2006. – 185. (Ukraine)
- 4. Bozkho V. P., Karatseva I. J. and Magomedov M. M. 2012. Modeling tools in sales communication link / V. P. Bozkho and I. J. Karatseva // Business Inform, № 5, 47–51. (Ukraine)
- 5. Kramarenko G. О. Financial Analysis : teach. guidances. / G. О. Kramarenko and О. E. Black. – K. : Centre textbooks, 2008. – 392. (Ukraine)
- 6. Krivulya P. V. Adaptation of Markovytsa models to the terms of assortment formation in enterprise production /P. V. Krivulya // Prometheus. Regional sat. scientific labor in the economy. – Donetsk: South–east, ltd., 2003. – № 11. – 246–253. (Ukraine)
- 7. Sherstennykov U. V. Simulation of small businesses in a competitive market / U. V. Sherstennykov // Business Inform. – 2013. – №7. – 129–135. (Ukraine)
- 8. Gerasimenko S. S., Holovatch A . V . and Erin A. M. Statistics : tutorial. / S. S. Gerasimenko, A. V. Holovatch and A. M. Erin. – K. : KNEU, 2000. – 121-138. (Ukraine)
- 9. Elisєєva I. I. Statistics : scientific. teach. guidances. / I. I. Elisєєva. – M. : Prospect, 2006. – 43 – 61. (Russia)
- 10. Erin A. M. Statistical modeling and forecasting : teach. guidances. / A. M. Erin. – K. : KNEU, 2001. – 170. (Ukraine)
- 11. Kazinets A. S. The pace of growth and structural chan ges in the economy : teach. guidances. / A. S. Kazinets. – M. : Economics, 1981. – 3 – 120. (Russia)
- 12. Kovalevskiy G. V. Statistics : teach. guidances. / G. V. Kovalevskiy. – Kharkiv : KHNMA, 2010. – 313. (Ukraine)
- 13. Litvak B. G. Expert information: preparation and analysis: teach. guidances. / B. G. Litvak. – M. : Radio and communication, 1982. – 184. (Russia)
- 14. Paskhaver I. S. Mean values in the statistics : teach. guidances. / I. S. Paskhaver. – M. : Statistics, 1979. – 279. (Russia)
- 15. Chetyrkin E. M. Statistical forecasting methods : teach. guidances. / E. M. Chetyrkin. – M. : Statistics, 1977. – 23-64. (Russia)
- 16. Shmoilova R. A. Theory statistic : teach. guidances. / R. A. Shmoilova. 4th edition. – M. : Finance and Statistics, 2004. – 334-400. (Russia)
- 17. Mikeshina L. A. Extrapolation as a way to optimize the knowledge / L. A. Mikeshina // Epistemology & filisofiya science. – 2010. – Т.ХХV. – № 3. – 105-121. (Russia)
- 18. Blank I. A. Profit management : scientific munual. / I. A. Blank. – K. : Nika-Center, Elga, 1998. – 544. (Ukraine)
- 19. Tereshchenko O. O. Financial intermediation entities : teach. guidances. / O. O. Tereshchenko. – K. : KNEU, 2003. – 554. (Ukraine)
- 20. Official site of JSC «ZAZ» [Electronic resource]. – Mode of access : http://www.avtozaz.com/about/today. (Ukraine)
- 21. Alieksieiev, О. Belyayeva and М. Yastrubskyy. 2013. Nonlinear regression model of the formation of the loan portfolios of the banks in Central and Eastern Europe. Econtechmod. An international quarterly journal. Poland, Lublin – Rzeszow. Vol. 02. No. 3, 9-16. (Poland)
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-00074a14-1d7b-4f3e-b530-243a8671799b