Fedorova E.A.Financial University under the Government of the Russian Federation, Moscow, Russian Federation ecolena@mail.ru
The subject of the study is the development of the industry standards of financial stability to improve financial management of the managing organizations in the housing and communal services. The methodology of the present study envisages the economic-mathematical modeling, i.e. the analysis of variance, logit and probit analyses, CART algorithm.
Keywords: financial stability, bankruptcy, housing and communal services, managing organizations
References:
Kameneva E.A., Fedorova E.A., Khotinskaia G.I., Shal’neva M.S., Shokhin E.I. Finansovaia ustoichivost' organizatsii: teoriia i podkhody k otsenke (na primere ZhKKh) [Financial stability of organizations: the theory and approaches to assessment (the example of housing and communal services)]. Moscow, Nauchnye tekhnologii Publ., 2013, 165 p.
Kameneva E.A., Shokhin E.I. Finansovyi mekhanizm povysheniia energoeffektivnosti i finansovaia ustoichivost' upravliaiushchikh organizatsii zhilishchno-kommunal'nogo khoziaistva Rossii [The financial mechanism for the energy-efficiency increase and financial stability of the managing organizations in the housing and communal services of Russia]. Finansy i kredit – Finance and credit, 2013, no. 26, pp. 9–15.
Fedorova E.A., Gilenko E.V., Dovzhenko S.E. Modeli prognozirovaniia bankrotstva: osobennosti rossiiskikh predpriiatii [Models of bankruptcy forecasting: the characteristic features of the Russian enterprises]. Problemy prognozirovaniia – Problems of forecasting, 2013, no. 2, pp. 85–92.
Ahn B.A., Cho S.S., Kim C.Y.The integrated methodology of rough set theory and artificial neural network for business failure prediction. Expert Systems with Applications, 2000, no. 18, pp. 65–74.
Alam P., Booth D., Lee K., Thordarson T. The use of fuzzy clustering algorithm and self-organizing neural network for identifying potentially failing banks: An experiment study. Expert Systems with Applications, 2000, no. 18, pp. 185–199.
Andres J.D., Landajo M., Lorca P. Forecasting business profitability by using classification techniques: A comparative analysis based on a Spanish case. European Journal of Operational Research, 2005, no. 167, pp. 518–542.
Atiya A.F. Bankruptcy prediction for credit risk using neural networks: A survey and new results. IEEE Transactions on Neural Networks, 2001, no. 4, pp. 929–935.
Back B., Laitinen T., Sere K., Back B., Laitinen T. Neural Networks and Bankruptcy Prediction: Funds Flows, Accrual Ratios and Accounting Data. Advances in Accounting, 1996, vol. 14, pp. 23–37.
Ohlson J. Financial Ratios and the Probabilistic Prediction of Bankruptcy. Journal of Accounting Research, 1980, pp. 109–131.
Zmijewski Mark E. Methodological Issues Related to the Estimation of Financial Distress Prediction Models. Journal of Accounting Research, 1984, vol. 22, pp. 59–82.
