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.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.