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22

Section: Economic and Mathematical Modeling
UDC 332.8:658.15
Klebanova T. S., Rudachenko O. O.
Forecasting the Indicators of Financial Activities of Housing and Communal Services Enterprise Using Adaptive Models (p. 143 - 148)
The article is aimed at preventing bankruptcy of housing and communal services enterprises. The role, place and significance of housing and communal services at the present stage of development of the national economy are considered. A list of significant problems of communal services enterprises is provided. A methodical approach to evaluation, analysis and prevention of bankruptcy has been formed, which includes the three stages: first – choosing the diagnostic indicators of financial state of housing and communal services enterprises, second – defining the crisis classes of financial state of housing and communal services enterprise, third – determining the forecasting values of diagnostic indicators of financial state of housing and communal services enterprises. Using adaptive models, a forecasting of diagnostic indicators of financial activity has been conducted on example of a communal services enterprise in the Kharkiv region, with relatively high results and a qualitative forecast.
Keywords: enterprises of housing and communal services, bankruptcy, forecasting, adaptive models
Fig.: 6. Tabl.: 3. Formulae: 5. Bibl.: 8.

Klebanova Tamara S. – Doctor of Sciences (Economics), Professor, Professor, Department of Economic Cybernetics, Simon Kuznets Kharkiv National University of Economics (9a Nauky Ave., Kharkiv, 61166, Ukraine)
Email: [email protected]
Rudachenko Olhа O. – Doctor of Sciences (Economics), Associate Professor, Associate Professor, Department of Entrepreneurship and Business Administration, O. M. Beketov National University of Urban Economy in Kharkiv (17 Chornohlazivska Str., Kharkіv, 61002, Ukraine)
Email: [email protected]

Reference to this article:
Klebanova, Tamara S., and Rudachenko, Olhа O. (2015) “Forecasting the Indicators of Financial Activities of Housing and Communal Services Enterprise Using Adaptive Models.” Business Inform 1:143–148.

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