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 (DA) for bankruptcy prediction based on a logistic regression model, whereas the second, Data Envelopment Analysis (DEA), is a non-parametric approach for measuring firms’ efficiency which does not require ex-ante information on bankrupted firms. By using a manufacturing sample of both healthy and bankrupted firms during the period 2003-2009 we provide an indepth comparison of DA and DEA 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.
|Number of pages||33|
|Publication status||Published - 2012|
- Credit rating
- Data Envelopment
- Discriminant Analysis