Determining the Financial Failure in Enterprises Using Grey Relational Analysis and Logistic Regression Analysis & an Application
AbstractGrey 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.
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Bibliographic InfoArticle provided by Anadolu University in its journal Anadolu University Journal of Social Sciences.
Volume (Year): 12 (2012)
Issue (Month): 3 (September)
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Web page: http://www.anadolu.edu.tr/akademik/birim/genelBilgi/205/3429/1
More information through EDIRC
Grey Relational Analysis; Logistic Regression; Financial Failure.;
Find related papers by JEL classification:
- C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
- C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Factor Analysis
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
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