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

Maurizio Luigi Baussola, Eleonora Bartoloni

Research output: Contribution to journalArticle

7 Citations (Scopus)

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 manu- facturing sample of both healthy and bankrupted firms during the period 2003–09 we provide an in-depth comparison of discriminant analysis and data envelop- ment analysis and conclude that a correct evaluation of firms’ credit worthiness is the result of successive fine- tuning procedures requiring the use of multiple metho- dological tools.
Original languageEnglish
Pages (from-to)32-45
Number of pages14
JournalBusiness Economics
Volume49
DOIs
Publication statusPublished - 2014

Keywords

  • Data Envelopment Analysis
  • credit risk
  • discriminante logistica
  • financial performance
  • logistic discriminant
  • rischio di credito

Fingerprint

Dive into the research topics of 'Financial Performance in Manufacturing Firms: a Comparison Between Parametric and Non Parametric Approaches'. Together they form a unique fingerprint.

Cite this