The use of Z-Score to predict UTP loans

Author:

Dallocchio Maurizio1ORCID,Ferri Salvatore2ORCID,Tron Alberto1ORCID,Vizzaccaro Matteo3ORCID

Affiliation:

1. Bocconi University

2. Parthenope University of Naples

3. SDA Bocconi School of Management

Abstract

The Z-Score model developed by Altman in 1968 is considered one of the more reliable predictors of bankruptcy. In contraposition to the existing literature, the paper aims to investigate the Z’-Score and Z’’-Score ability to predict unlike-to-pay (UTP) loans, which is an event far earlier than insolvency. To investigate this relation, the study uses a unique sample of UTP loans, provided by a major Italian bank, and applies, as a predictive model, the Logit model, well known in academics. Final results confirm that the Z’-Score and the Z’’-Score are able to forecast UTP loans. Furthermore, the findings of the papers reveal the importance of corporate governance variables in predicting financial failures.

Publisher

Virtus Interpress

Subject

General Business, Management and Accounting

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