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Statistical Analysis of Financial Results of Enterprises

Student: Ekaterina Ivanova

Supervisor: Vladimir Elahovsky

Faculty: Faculty of Economic Sciences

Educational Programme: Economics and Statistics (Bachelor)

Year of Graduation: 2017

Topic: «Statistical analysis of financial results of enterprises» The work has 89 pages, 43 of which are applications. At the writing of the diploma 37 sources were used. The aim of the research is to establish the relationship between the net financial result and a number of factors. Object of research are the regions of the Russian Federation. The subject of the research is a set of indicators, which affects the ratio of net financial result. 1. Initial analysis; 2. Perform a correlation analysis; 3. Using the step-by-step choice of variables, construct a linear regression; 4. Classify the data; 5. Build a logistic regression; 6. Draw conclusions. The following statistical packages were used for analysis: SPSS, R, Stata, Gretl. The data base of the Federal State Statistics Service, as well as the most important data from the compilation of socio-economic indicators for 2013, 2014 and 2015, are the information base. The first chapter presents an informative part: data on the indicators that were used in the work, reflected theoretical and practical results. In the second chapter, correlation and regression analyzes were made to identify the consequences of the balancing of the financial result and a number of factors. The third chapter provides hierarchical data clustering. Logit and probit models were created. The result was a balanced financial result for 2008 and 2014, then the data were divided into clusters (1 - more than average, 0 - less than average) and distorted probabilities of getting into these clusters.

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