Auditors and early signals of financial distress in local governments francesca Manes Rossi Hot

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Uploaded by francesca Manes Rossi     Uploaded date: March 18, 2017    
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Publication date
March 18, 2017
Paper language
Abstract
Purpose – This study aims to analyze whether and how a set of financial ratios calculated on the basis of financial statement information would allow auditors of Italian local governments (LGs) to get an indication of LGs’ financial distress risk and, hence, to support politicians and managers in promptly detecting financial distress.
Design/methodology/approach – A model comprising a set of financial indicators that would distinguish distressed from not distressed LGs through a logistic regression approach has been estimated and applied to Italian LGs. The model is built on the basis of information pertaining to 44 distressed and 53 not distressed LGs for up to five years prior to bankruptcy and covers the period 2003-2012.
Findings – The model reveals that the percentage of personnel expenses over revenues, the turnover ratio of short-term liabilities over current revenues and the reliance on subsidies (calculated as subsidies per capita) are factors discriminating non-distressed LGs from the distressed ones.
Practical implications – The model could have political and practical implications. The possible use of this model as a complementary tool in auditing activities might be helpful for auditors in detecting financial distress promptly, thus potentially enabling politicians and managers to search for different ways to manage public resources to avoid the detrimental consequences related to the declaration of distress.
Originality/value – This model, contrary to existing models that use accrual accounting data, is applicable to LGs that adopt a modified cash accounting basis.
Preferred Citation
Sandra Cohen Antonella Costanzo Francesca Manes-Rossi , (2017),"Auditors and early signals of financial distress in local governments ", Managerial Auditing Journal, Vol. 32 Iss 3 pp. 234 - 250
Keywords
Auditing; Financial distress; Local governments; Logistic regression; Financial distress prediction models; Role of auditors
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Category
  • Auditing
  • Financial accounting
Type of Paper
Published paper

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