Determining the Financial Failure in Enterprises Using Grey Relational Analysis and Logistic Regression Analysis & an Application

Grey relational analysis can be used as a rating, classification and decision making technique to determine the important factors among those required for a system with a limited amount of data set. For this purpose, by making use of the relations between the financial rates used as independent variable in forecasting financial failure, it was tried to determine the fewer number of financial rates that determine the financial characteristics of enterprises best using grey relational analysis. As a result of using the independent variables determined through grey relational analysis as independent variables in logistic regression analysis for classification, it was aimed to develop a model with a high correct classification percentage, and thus, to decide upon the best model for increasing success.