Measuring retail company performance using credit scoring techniques |
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Authors: | Yu-Chiang Hu Jake Ansell |
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Institution: | Management School and Economics, University of Edinburgh, William Robertson Building, 50 George Square, Edinburgh EH8 9JY, UK |
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Abstract: | This paper discusses models for evaluating credit risk in relation to the retailing industry. Hunt’s Hunt, S.D., 2000. A General Theory of Competition. Sage Publications Inc., California] Resource–Advantage Theory of Competition is used as a basis for variable selection, given the theory’s relevancy to retail competition. The study focuses on the US retail market. Four standard credit scoring methodologies: Naïve Bayes, Logistic Regression, Recursive Partitioning and Artificial Neural Network, are compared with Sequential Minimal Optimization (SMO), using a sample of 195 healthy companies and 51 distressed firms over five time periods from 1994 to 2002. |
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Keywords: | Finance Credit scoring Retailing Multivariate statistics Artificial intelligence |
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