RATING OF AGRICULTURAL ENTERPRISES OF IRKUTSK REGION BASED ON MULTIVARIATE ANALYSIS

The article touches upon the issues of necessary assessment of the current state of the agricultural organizations' activity in the Irkutsk region; the indicators of the organizations' financial state are analyzed, the methodology of the integrated comparative rating assessment of the economic entities' activity is improved due to the usage of the multivariate analysis in the context of monitoring both in space (that is, in comparison with other organizations) and in time (for a number of time periods). To compile the ranking, the responsive computational algorithm is used that shows the capacity of the mathematical model of the multivariate comparative analysis, namely, the comparison of the business performance of the agricultural organizations in the Irkutsk region. The method involves the calculation of the Euclidian distances that allows taking into account not only the absolute values of every organization's indicators, but also the degree of their proximity (distance) to the indicators of the organization that is regarded as a benchmark on the strength of all the evidence. The criterion of the integrated assessment of the organizations' activity is defined; it is a classification criterion when ranking high-impact and low-impact organizations. The results obtained allow comparing the organizations with each other within the definite industry, ranking them, classifying them and projecting their capacity level for the nearest future. (c) 2018 Published by Future Academy www.FutureAcademy.org.UK