
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 banksÂ’ 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...
