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Accounting and non-accounting determinants of default: An analysis of privately-held firms

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  • Bhimani, Alnoor
  • Gulamhussen, Mohamed Azzim
  • Lopes, Samuel Da-Rocha

Abstract

We model default with novel loan data maintained by the Portuguese Central Bank for 31,025 accounts of privately-held firms that include 30 accounting ratios and non-accounting information on size, age, industry and geographic regions. Interest costs to gross income, number of days in payables and receivables have a positive and significant influence on the probability of default. Financial and asset coverage, the investment ratio, return on equity and investment, solidity, variation in gross income and working capital to total assets are negatively related to default. Interest costs to gross income, solidity and working capital to total assets show larger marginal influence on the probability of default compared to return on investment, financial coverage, days in payables, days in receivables, and return on equity. Asset coverage, investment ratio and variation in gross income show relatively low marginal influence. While size influences default positively, age influences default negatively. The analysis of the joint influence of size and accounting ratios shows that size significantly alters the relation and the magnitude of the marginal influence of the accounting ratios on default. Our findings also indicate that industry and geography influence default. Besides assessing default in privately-held firms, our study identifies the important role of non-accounting information on default prediction and the practical significance of assessing the marginal influence of predictors instead of the classical coefficients. The factors we find as influencing default can be used as early warning signals in policies underlying supervision, and the default probabilities in the assessment of financial pressures in the corporate sector.

Suggested Citation

  • Bhimani, Alnoor & Gulamhussen, Mohamed Azzim & Lopes, Samuel Da-Rocha, 2010. "Accounting and non-accounting determinants of default: An analysis of privately-held firms," Journal of Accounting and Public Policy, Elsevier, vol. 29(6), pages 517-532, November.
  • Handle: RePEc:eee:jappol:v:29:y::i:6:p:517-532
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    3. Jones, Stewart & Wang, Tim, 2019. "Predicting private company failure: A multi-class analysis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 61(C), pages 161-188.
    4. Somoza, Antonio, 2021. "The influence of the vulnerability of sectors on their survival and probability of insolvency: the case of small and medium entities in Spain || La influencia de la vulnerabilidad de los sectores en s," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 32(1), pages 148-174, December.
    5. Luciana Barbosa & Paulo Soares de Pinho, 2017. "Operational cycle and tax liabilities as determinants of corporate credit risk," Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.
    6. Şaban Çelik & Bora Aktan & Bruce Burton, 2022. "Firm dynamics and bankruptcy processes: A new theoretical model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(3), pages 567-591, April.
    7. Salwa Kessioui & Michalis Doumpos & Constantin Zopounidis, 2023. "A Bibliometric Overview of the State-of-the-Art in Bankruptcy Prediction Methods and Applications," World Scientific Book Chapters, in: Emilios Galariotis & Alexandros Garefalakis & Christos Lemonakis & Marios Menexiadis & Constantin Zo (ed.), Governance and Financial Performance Current Trends and Perspectives, chapter 6, pages 123-153, World Scientific Publishing Co. Pte. Ltd..
    8. Adriana Csikosova & Maria Janoskova & Katarina Culkova, 2020. "Application of Discriminant Analysis for Avoiding the Risk of Quarry Operation Failure," JRFM, MDPI, vol. 13(10), pages 1-14, September.
    9. Alessandro Bitetto & Stefano Filomeni & Michele Modina, 2021. "Understanding corporate default using Random Forest: The role of accounting and market information," DEM Working Papers Series 205, University of Pavia, Department of Economics and Management.
    10. Kang, Kee-Youn & Jang, Inkee, 2020. "Dynamic Adverse Selection and Belief Update in Credit Markets," MPRA Paper 99071, University Library of Munich, Germany.
    11. Manuel Rico & Naresh R. Pandit & Francisco Puig, 2021. "SME insolvency, bankruptcy, and survival: an examination of retrenchment strategies," Small Business Economics, Springer, vol. 57(1), pages 111-126, June.
    12. Lu, Yang-Cheng & Wei, Yu-Chen & Chang, Tsang-Yao, 2015. "The effects and applicability of financial media reports on corporate default ratings," International Review of Economics & Finance, Elsevier, vol. 36(C), pages 69-87.

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