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Corporate governance characteristics and default prediction modeling for small enterprises. An empirical analysis of Italian firms

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  1. Anup Banerjee & Mattias Nordqvist & Karin Hellerstedt, 2020. "The role of the board chair—A literature review and suggestions for future research," Corporate Governance: An International Review, Wiley Blackwell, vol. 28(6), pages 372-405, November.
  2. Xavier Brédart & Eric Séverin & David Veganzones, 2021. "Human resources and corporate failure prediction modeling: Evidence from Belgium," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(7), pages 1325-1341, November.
  3. Khandelwal, Chandni & Kumar, Satish & Madhavan, Vinodh & Pandey, Nitesh, 2020. "Do board characteristics impact corporate risk disclosures? The Indian experience," Journal of Business Research, Elsevier, vol. 121(C), pages 103-111.
  4. Edward I. Altman & Marco Balzano & Alessandro Giannozzi & Stjepan Srhoj, 2023. "Revisiting SME default predictors: The Omega Score," Journal of Small Business Management, Taylor & Francis Journals, vol. 61(6), pages 2383-2417, November.
  5. Modina, Michele & Pietrovito, Filomena & Gallucci, Carmen & Formisano, Vincenzo, 2023. "Predicting SMEs’ default risk: Evidence from bank-firm relationship data," The Quarterly Review of Economics and Finance, Elsevier, vol. 89(C), pages 254-268.
  6. Simone Poli & Marco Gatti, 2024. "The relevance of cash flow information in predicting corporate bankruptcy in Italian private companies," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2024(1), pages 179-202.
  7. Luluk Muhimatul Ifada & Hendar Hendar & Norman Mohd Saleh, 2024. "Board governance model, institutions, financial performance, and environmental performance: Stakeholder supremacy or coordination problems?," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 31(5), pages 3869-3883, September.
  8. Francesco Ciampi, 2017. "The Need for Specific Modelling of Small Enterprise Default Prediction: Empirical Evidence from Italian Small Manufacturing Firms," International Journal of Business and Management, Canadian Center of Science and Education, vol. 12(12), pages 251-251, November.
  9. Boratyńska, Katarzyna & Grzegorzewska, Emilia, 2018. "Bankruptcy prediction in the agribusiness sector: Lessons from quantitative and qualitative approaches," Journal of Business Research, Elsevier, vol. 89(C), pages 175-181.
  10. Francesco Ciampi & Alessandro Giannozzi & Giacomo Marzi & Edward I. Altman, 2021. "Rethinking SME default prediction: a systematic literature review and future perspectives," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(3), pages 2141-2188, March.
  11. Shekar Shetty & Mohamed Musa & Xavier Brédart, 2022. "Bankruptcy Prediction Using Machine Learning Techniques," JRFM, MDPI, vol. 15(1), pages 1-10, January.
  12. A. I. Rybalka, 2020. "Relationship of Property Structure and Performance of High-Tech Technology Companies," Studies on Russian Economic Development, Springer, vol. 31(3), pages 264-270, May.
  13. Forgione, Antonio Fabio & Migliardo, Carlo, 2018. "Forecasting distress in cooperative banks: The role of asset quality," International Journal of Forecasting, Elsevier, vol. 34(4), pages 678-695.
  14. Oliver Lukason & Art Andresson, 2019. "Tax Arrears Versus Financial Ratios in Bankruptcy Prediction," JRFM, MDPI, vol. 12(4), pages 1-13, December.
  15. Samuel Opoku & Kingsley Opoku Appiah & Prince Gyimah, 2024. "Can We Predict the Financial Distress of Banks in Sub-Saharan Africa?," SAGE Open, , vol. 14(3), pages 21582440241, August.
  16. Xinlin Wang & Zs'ofia Kraussl & Mats Brorsson, 2024. "Datasets for Advanced Bankruptcy Prediction: A survey and Taxonomy," Papers 2411.01928, arXiv.org.
  17. Jiang, Cuiqing & Yin, Chang & Tang, Qian & Wang, Zhao, 2023. "The value of official website information in the credit risk evaluation of SMEs," Journal of Business Research, Elsevier, vol. 169(C).
  18. Carmen Gallucci & Rosalia Santullli & Michele Modina & Vincenzo Formisano, 2023. "Financial ratios, corporate governance and bank-firm information: a Bayesian approach to predict SMEs’ default," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 27(3), pages 873-892, September.
  19. Song, Zhuo-lin & Zhang, Xiao-mei, 2018. "Lending technology and credit risk under different types of loans to SMEs: Evidence from China," International Review of Economics & Finance, Elsevier, vol. 57(C), pages 43-69.
  20. Keijo Kohv & Oliver Lukason, 2021. "What Best Predicts Corporate Bank Loan Defaults? An Analysis of Three Different Variable Domains," Risks, MDPI, vol. 9(2), pages 1-19, January.
  21. Li, Zhiyong & Crook, Jonathan & Andreeva, Galina & Tang, Ying, 2021. "Predicting the risk of financial distress using corporate governance measures," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).
  22. Lisa Crosato & Caterina Liberati & Marco Repetto, 2021. "Look Who's Talking: Interpretable Machine Learning for Assessing Italian SMEs Credit Default," Papers 2108.13914, arXiv.org, revised Sep 2021.
  23. Juraini Zainol Abidin & Nur Adiana Hiau Abdullah & Karren Lee-Hwei Khaw, 2020. "Predicting SMEs Failure: Logistic Regression vs Artificial Neural Network Models," Capital Markets Review, Malaysian Finance Association, vol. 28(2), pages 29-41.
  24. Veganzones, David & Séverin, Eric & Chlibi, Souhir, 2023. "Influence of earnings management on forecasting corporate failure," International Journal of Forecasting, Elsevier, vol. 39(1), pages 123-143.
  25. Francesco Ciampi, 2018. "Using Prior Payment Behavior Variables for Small Enterprise Default Prediction Modelling," International Journal of Business and Management, Canadian Center of Science and Education, vol. 13(4), pages 1-57, March.
  26. Karminsky, A. & Rybalka, A., 2018. "Negative Net Worth of Manufacturing Companies: Corporate Governance and Industry Expectations," Journal of the New Economic Association, New Economic Association, vol. 38(2), pages 76-103.
  27. Yu Zhao & Huaming Du & Qing Li & Fuzhen Zhuang & Ji Liu & Gang Kou, 2022. "A Comprehensive Survey on Enterprise Financial Risk Analysis from Big Data Perspective," Papers 2211.14997, arXiv.org, revised May 2023.
  28. Zhu, You & Zhou, Li & Xie, Chi & Wang, Gang-Jin & Nguyen, Truong V., 2019. "Forecasting SMEs' credit risk in supply chain finance with an enhanced hybrid ensemble machine learning approach," International Journal of Production Economics, Elsevier, vol. 211(C), pages 22-33.
  29. David Veganzones, 2022. "Corporate failure prediction using threshold‐based models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(5), pages 956-979, August.
  30. Zhang, Wen & Yan, Shaoshan & Li, Jian & Tian, Xin & Yoshida, Taketoshi, 2022. "Credit risk prediction of SMEs in supply chain finance by fusing demographic and behavioral data," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 158(C).
  31. Lagasio, Valentina & Brogi, Marina & Gallucci, Carmen & Santulli, Rosalia, 2023. "May board committees reduce the probability of financial distress? A survival analysis on Italian listed companies," International Review of Financial Analysis, Elsevier, vol. 87(C).
  32. Antonio Fabio Forgione & Carlo Migliardo, 2019. "An empirical analysis of the impact of trade credit on bank debt restructuring," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 36(2), pages 415-438, July.
  33. Chikashi Tsuji, 2015. "How Did the Profitability of the Japanese Firms Change? Before, During, and After the Lehman Shock in the US," Business and Management Research, Business and Management Research, Sciedu Press, vol. 4(1), pages 74-82, March.
  34. Umair Bin Yousaf & Khalil Jebran & Irfan Ullah, 2024. "Corporate governance and financial distress: A review of the theoretical and empirical literature," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(2), pages 1627-1679, April.
  35. Pratibha Wasan & Ashwani Kumar & Sunil Luthra, 2023. "How can banks and finance companies incorporate value chain factors in their risk management strategy? The case of agro‐food firms," Business Strategy and the Environment, Wiley Blackwell, vol. 32(1), pages 858-877, January.
  36. Oliver Lukason & Germo Valgenberg, 2021. "Failure Prediction in the Condition of Information Asymmetry: Tax Arrears as a Substitute When Financial Ratios Are Outdated," JRFM, MDPI, vol. 14(10), pages 1-13, October.
  37. Eric Séverin & David Veganzones, 2021. "Can earnings management information improve bankruptcy prediction models?," Annals of Operations Research, Springer, vol. 306(1), pages 247-272, November.
  38. Francesco Ciampi & Valentina Cillo & Fabio Fiano, 2020. "Combining Kohonen maps and prior payment behavior for small enterprise default prediction," Small Business Economics, Springer, vol. 54(4), pages 1007-1039, April.
  39. Gianpaolo Abatecola, 2021. "Prioritizing Short-Termism in Behavioural Strategy: Lessons from Enron – 20 Years On," International Journal of Business and Management, Canadian Center of Science and Education, vol. 14(4), pages 1-60, July.
  40. Salim Lahmiri, 2016. "Features selection, data mining and finacial risk classification: a comparative study," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 23(4), pages 265-275, October.
  41. Yu Xia & Ta Xu & Ming-Xia Wei & Zhen-Ke Wei & Lian-Jie Tang, 2023. "Predicting Chain’s Manufacturing SME Credit Risk in Supply Chain Finance Based on Machine Learning Methods," Sustainability, MDPI, vol. 15(2), pages 1-18, January.
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