Although multiple statistical failure prediction models are described in the literature, appropriate tests as to whether such methodologies work in practice are lacking. This paper describes the operating characteristics of a base model, the Altman’s Z-score, evaluating its performance as a tool for insolvency prediction in today's European market, and matching its results with more innovative failure prediction models.

Estimating the probability of financial distress in European markets: prediction models and empirical applications

Gigante, Gimede
2013

Abstract

Although multiple statistical failure prediction models are described in the literature, appropriate tests as to whether such methodologies work in practice are lacking. This paper describes the operating characteristics of a base model, the Altman’s Z-score, evaluating its performance as a tool for insolvency prediction in today's European market, and matching its results with more innovative failure prediction models.
2013
9781137332080
Falzon,Joseph
Bank performance, risk and securitization
Cerri, Andrea; Gigante, Gimede
File in questo prodotto:
File Dimensione Formato  
Estimating the Probability of Financial Distress in European Markets.pdf

non disponibili

Descrizione: Capitolo in Libro della serie Palgrave Macmillan Studies in Banking and Financial Institutions
Tipologia: Pdf editoriale (Publisher's layout)
Licenza: NON PUBBLICO - Accesso privato/ristretto
Dimensione 71.56 kB
Formato Adobe PDF
71.56 kB Adobe PDF   Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11565/4016194
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact