SIMULATION OF SMALL FIRM BUSINESS ACTIVITY

Ryzhov Roman Vladimirovich, Postgraduate student, Penza State University, romovoy@yandex.ru

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The article considers possibility of complex implementation of multidimensional statistical methods for small-scale organizations’ financial sustainability and solvency analysis. The author suggests discriminant functions to classify small-scale organization. The cluster analysis enables to single out the regions of the Volga Federal District with similar small-scale business development indicators, for which it is proposed to apply discriminant models, designed on the basis of Penza region small-scale enterprises’ economic indicators.

modelling, discriminant, cluster analysis, sustainability, solvency.