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Forecasting corporate bankruptcy: empirical evidence on Italian data

Alessandra Amendola (Department of Economics and Statistics, University of Salerno, Via Ponte don Melillo snc – Fisciano (SA), Italy)
Marco Bisogno (Department of Management Research, University of Salerno, Via Ponte don Melillo snc – Fisciano (SA), Italy)
Marialuisa Restaino (Department of Economics and Statistics, University of Salerno, Via Ponte don Melillo snc – Fisciano (SA), Italy)
Luca Sensini (Department of Management Research, University of Salerno, Via Ponte don Melillo snc – Fisciano (SA), Italy)

EuroMed Journal of Business

ISSN: 1450-2194

Article publication date: 18 September 2011

Abstract

Purpose

The aim of the paper is to investigate several aspects of bankruptcy prediction within both theoretical and empirical frameworks. In particular, it has focused on the comparison of different techniques used to forecast failure through a balanced sample of companies within a geographical area (the Campania region) located in the south of Italy.

Methodology

Business failure has been one of the most investigated topics within corporate finance and the empirical approach to bankruptcy prediction has recently gained further attention from financial institutions. The aim of corporate failure prediction is to have a methodological approach which discriminates firms with a high probability of future failure from those which are considered to be healthy. Starting from the seminal paper of Altman (1968), many other significant contributions have been subsequently made to this field (Ravi Kumar and Ravi, 2007). This paper's approach is to compare different statistical techniques based on the analysis of financial data for the prediction and diagnosis of the risk of bankruptcy.

Findings

The paper investigates the determinants of bankruptcy in a specific geographical area (Campania region). Empirical evidence on a data‐set of the annual reports of a balanced sample of companies for a given time period has been analyzed. These findings aim to make a contribution to current literature as well as to contribute to the elaboration of efficient prevention and recovery strategies.

Originality

Researchers have tended to restrict the scope of their analysis due to the problems related to the collection and storage of financial data. This study focuses on financial information relating to the area of interest in order to provide a comparative analysis of different forecasting techniques.

Keywords

Citation

Amendola, A., Bisogno, M., Restaino, M. and Sensini, L. (2011), "Forecasting corporate bankruptcy: empirical evidence on Italian data", EuroMed Journal of Business, Vol. 6 No. 3, pp. 294-312. https://doi.org/10.1108/14502191111170132

Publisher

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Emerald Group Publishing Limited

Copyright © 2011, Emerald Group Publishing Limited