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E. Kadochnikova

3 linked publication records

Author: E. Kadochnikovaclear all
Showing 1-3 of 3 records
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4th International Multidisciplinary Scientific Conference on Social Sciences and Arts SGEM 2017
Publication

APPLICATION OF KENDALL CORRELATION COEFFICIENT FOR DYNAMIC ASSESSMENT OF COMPANY’S INVESTMENT APPEAL

(STEF92 Technology, 2017, N. Yakupova, E. Kadochnikova, S.Levachkova, A. Lelyukh)

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The authors seek to improve the construction of dynamic assessment model of company’s investment appeal. This involves a comparison of the actual order of the investment appeal indices with the standard ones by calculating the Kendall correlation coefficient for the two ranking series based on internal environment indicators of a leading chemical enterprise. The comparison results in the calculation of the dynamic assessment of investment appeal whose maximum value is equal to one when all observable characteristi...

SOCIAL SCIENCES: Section Economics and Finance2017
4th International Multidisciplinary Scientific Conference on Social Sciences and Arts SGEM 2017
Publication

ASSESSMENT OF COMPANY’S INVESTMENT APPEAL BASED ON MULTIPLE REGRESSION

(STEF92 Technology, 2017, N. Yakupova, E. Kadochnikova, M. Salahieva, A. Lelyukh)

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The article seeks to emphasize the key role of the internal factors of the company’s investment appeal. This includes an overview of the traditional methods of assessing company’s investment appeal and the calculation of the integral index of investment appeal based on the financial performance for a leading chemical enterprise. The study results in a methodical approach to assessing company’s investment appeal on the basis of multiple regression of net return on assets. The authors propose to carry out a ridge-re...

SOCIAL SCIENCES: Section Economics and Finance2017
4th International Multidisciplinary Scientific Conference on Social Sciences and Arts SGEM 2017
Publication

MODELING MARGINAL FACTORS OF CREDIT INSTITUTIONS: ELIMINATING A COLLINEARITY PROBLEM

(STEF92 Technology, 2017, E.Kadochnikova, S.Savdur, L. Sungatullina, E.Khisamova)

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The article seeks to identify the most important predictors of profit of credit institutions. This involves the use of multiple regression for econometric modeling of several variables on the results of banks’ operations. The study aims to show the capabilities of multi-factor regression in the analysis of credit institutions. The paper proposes a methodological approach to the measurement of marginal predictors of credit institutions. The authors use special techniques to adjust the models to avoid a collinearity...

SOCIAL SCIENCES: Section Economics and Finance2017
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