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Financial Performance in Manufacturing Firms: A Comparison Between Parametric and Non-Parametric Approaches

Financial Performance in Manufacturing Firms: A Comparison Between Parametric and Non-Parametric... Abstract This paper provides a methodological analysis of credit risk in manufacturing firms by using two different credit scoring approaches. The first is the traditional discriminant approach for bankruptcy prediction based on a logistic regression model, whereas the second, data envelopment analysis, is a nonparametric approach for measuring firms’ efficiency that does not require ex-ante information on bankrupted firms. By using a manufacturing sample of both healthy and bankrupted firms during the period 2003–09 we provide an in-depth comparison of discriminant analysis and data envelopment analysis and conclude that a correct evaluation of firms’ credit worthiness is the result of successive fine-tuning procedures requiring the use of multiple methodological tools. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Business Economics Springer Journals

Financial Performance in Manufacturing Firms: A Comparison Between Parametric and Non-Parametric Approaches

Business Economics , Volume 49 (1): 14 – Jan 1, 2014

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References (44)

Publisher
Springer Journals
Copyright
2014 National Association for Business Economics
ISSN
0007-666X
eISSN
1554-432X
DOI
10.1057/be.2013.31
Publisher site
See Article on Publisher Site

Abstract

Abstract This paper provides a methodological analysis of credit risk in manufacturing firms by using two different credit scoring approaches. The first is the traditional discriminant approach for bankruptcy prediction based on a logistic regression model, whereas the second, data envelopment analysis, is a nonparametric approach for measuring firms’ efficiency that does not require ex-ante information on bankrupted firms. By using a manufacturing sample of both healthy and bankrupted firms during the period 2003–09 we provide an in-depth comparison of discriminant analysis and data envelopment analysis and conclude that a correct evaluation of firms’ credit worthiness is the result of successive fine-tuning procedures requiring the use of multiple methodological tools.

Journal

Business EconomicsSpringer Journals

Published: Jan 1, 2014

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