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Predicting the risk of financial distress using corporate governance measures

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  • Li, Zhiyong
  • Crook, Jonathan
  • Andreeva, Galina
  • Tang, Ying

Abstract

Corporate governance is an important determinant of corporate performance. Poor corporate governance can damage the interests of shareholders, and may lead to business collapse. This paper expands the literature on credit risk management by assessing the effectiveness of aspects of corporate governance for predicting financial distress in a dynamic discrete-time survival analysis model. It is a comprehensive, up-to-date and thorough study, which uses a large range of corporate governance measures, financial ratios and macroeconomic variables in a panel data structure over a 17-year period. Furthermore, the paper addresses the relationship between government ownership and the risk of financial distress in China. The results suggest that although corporate governance alone is not sufficient to accurately predict financial distress, it can add to the predictive power of financial ratios and macroeconomic factors. In addition, the model provides insights into the role of state ownership, independent directors, institutional investors and some personal characteristics of the Chair of the board. Implications are made regarding them and the debt and bankruptcy problem in China and Asia.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:pacfin:v:68:y:2021:i:c:s0927538x19305542
    DOI: 10.1016/j.pacfin.2020.101334
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    1. Basu, Sudipta & Hwang, Lee-Seok & Mitsudome, Toshiaki & Weintrop, Joseph, 2007. "Corporate governance, top executive compensation and firm performance in Japan," Pacific-Basin Finance Journal, Elsevier, vol. 15(1), pages 56-79, January.
    2. John Y. Campbell & Jens Hilscher & Jan Szilagyi, 2008. "In Search of Distress Risk," Journal of Finance, American Finance Association, vol. 63(6), pages 2899-2939, December.
    3. Michael C. Jensen, 2010. "The Modern Industrial Revolution, Exit, and the Failure of Internal Control Systems," Journal of Applied Corporate Finance, Morgan Stanley, vol. 22(1), pages 43-58, January.
    4. Shleifer, Andrei & Vishny, Robert W, 1997. "A Survey of Corporate Governance," Journal of Finance, American Finance Association, vol. 52(2), pages 737-783, June.
    5. David G McMillan & Pornsawan Evans, 2015. "Stock returns and volatility dynamics in China," China Finance Review International, Emerald Group Publishing Limited, vol. 5(2), pages 103-131, May.
    6. Guofu Tan & Justin Yifu Lin, 1999. "Policy Burdens, Accountability, and the Soft Budget Constraint," American Economic Review, American Economic Association, vol. 89(2), pages 426-431, May.
    7. Zong-Jun Wang & Xiao-Lan Deng, 2006. "Corporate Governance and Financial Distress: Evidence from Chinese Listed Companies," Chinese Economy, Taylor & Francis Journals, vol. 39(5), pages 5-27, October.
    8. Geng, Ruibin & Bose, Indranil & Chen, Xi, 2015. "Prediction of financial distress: An empirical study of listed Chinese companies using data mining," European Journal of Operational Research, Elsevier, vol. 241(1), pages 236-247.
    9. Wei Ting & Sin‐Hui Yen & Chien‐Liang Chiu, 2008. "The Influence of Qualified Foreign Institutional Investors on the Association between Default Risk and Audit Opinions: Evidence from the Chinese Stock Market," Corporate Governance: An International Review, Wiley Blackwell, vol. 16(5), pages 400-415, September.
    10. Bonfim, Diana, 2009. "Credit risk drivers: Evaluating the contribution of firm level information and of macroeconomic dynamics," Journal of Banking & Finance, Elsevier, vol. 33(2), pages 281-299, February.
    11. Charbel Salloum & Nehme Azoury & César El Khoury, 2013. "Board of directors’ effects on financial distress evidence of family owned businesses in Lebanon," Post-Print hal-01376599, HAL.
    12. Ciampi, Francesco, 2015. "Corporate governance characteristics and default prediction modeling for small enterprises. An empirical analysis of Italian firms," Journal of Business Research, Elsevier, vol. 68(5), pages 1012-1025.
    13. Nick Wilson & Mike Wright & Louise Scholes, 2013. "Family Business Survival and the Role of Boards," Entrepreneurship Theory and Practice, , vol. 37(6), pages 1369-1389, November.
    14. Lin, Hsiou-Wei William & Lo, Huai-Chun & Wu, Ruei-Shian, 2016. "Modeling default prediction with earnings management," Pacific-Basin Finance Journal, Elsevier, vol. 40(PB), pages 306-322.
    15. Edward I. Altman, 1968. "Financial Ratios, Discriminant Analysis And The Prediction Of Corporate Bankruptcy," Journal of Finance, American Finance Association, vol. 23(4), pages 589-609, September.
    16. Claessens, Stijn & Djankov, Simeon & Lang, Larry H. P., 2000. "The separation of ownership and control in East Asian Corporations," Journal of Financial Economics, Elsevier, vol. 58(1-2), pages 81-112.
    17. Hsu, Hwa-Hsien & Wu, Chloe Yu-Hsuan, 2014. "Board composition, grey directors and corporate failure in the UK," The British Accounting Review, Elsevier, vol. 46(3), pages 215-227.
    18. Eliezer Fich & Steve Slezak, 2008. "Can corporate governance save distressed firms from bankruptcy? An empirical analysis," Review of Quantitative Finance and Accounting, Springer, vol. 30(2), pages 225-251, February.
    19. Shumway, Tyler, 2001. "Forecasting Bankruptcy More Accurately: A Simple Hazard Model," The Journal of Business, University of Chicago Press, vol. 74(1), pages 101-124, January.
    20. Edward I. Altman, 1968. "The Prediction Of Corporate Bankruptcy: A Discriminant Analysis," Journal of Finance, American Finance Association, vol. 23(1), pages 193-194, March.
    21. Gilson, Stuart C & Vetsuypens, Michael R, 1993. "CEO Compensation in Financially Distressed Firms: An Empirical Analysis," Journal of Finance, American Finance Association, vol. 48(2), pages 425-458, June.
    22. Wang, Chih-Wei & Chiu, Wan-Chien, 2019. "Effect of short-term debt on default risk: Evidence from Pacific Basin countries," Pacific-Basin Finance Journal, Elsevier, vol. 57(C).
    23. Han Donker & Bernard Santen & Saif Zahir, 2009. "Ownership structure and the likelihood of financial distress in the Netherlands," Applied Financial Economics, Taylor & Francis Journals, vol. 19(21), pages 1687-1696.
    24. Richard M. Cyert & Sok-Hyon Kang & Praveen Kumar, 2002. "Corporate Governance, Takeovers, and Top-Management Compensation: Theory and Evidence," Management Science, INFORMS, vol. 48(4), pages 453-469, April.
    25. Milne, Alistair, 2014. "Distance to default and the financial crisis," Journal of Financial Stability, Elsevier, vol. 12(C), pages 26-36.
    26. Catherine M. Daily & Dan R. Dalton, 1994. "Corporate governance and the bankrupt firm: An empirical assessment," Strategic Management Journal, Wiley Blackwell, vol. 15(8), pages 643-654, October.
    27. Khaw, Karren Lee-Hwei & Liao, Jing & Tripe, David & Wongchoti, Udomsak, 2016. "Gender diversity, state control, and corporate risk-taking: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 39(C), pages 141-158.
    28. Tsun‐Siou Lee & Yin‐Hua Yeh, 2004. "Corporate Governance and Financial Distress: evidence from Taiwan," Corporate Governance: An International Review, Wiley Blackwell, vol. 12(3), pages 378-388, July.
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    Cited by:

    1. Zhou, Fanyin & Fu, Lijun & Li, Zhiyong & Xu, Jiawei, 2022. "The recurrence of financial distress: A survival analysis," International Journal of Forecasting, Elsevier, vol. 38(3), pages 1100-1115.
    2. 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).
    3. Cucinelli, Doriana & Soana, Maria Gaia, 2023. "Systemic risk in non financial companies: Does governance matter?," International Review of Financial Analysis, Elsevier, vol. 87(C).
    4. 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.
    5. Umair Bin YOUSAF & Khalil JEBRAN & Man WANG, 2022. "A Comparison of Static, Dynamic and Machine Learning Models in Predicting the Financial Distress of Chinese Firms," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 122-138, April.
    6. Balagobei, S, 2022. "Corporate Governance and Financial Distress: Empirical Evidence from listed Consumer Services Firms in Sri Lanka ," GATR Journals afr211, Global Academy of Training and Research (GATR) Enterprise.

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    More about this item

    Keywords

    Corporate governance; Credit risk; Survival analysis; Financial distress; Ownership structure;
    All these keywords.

    JEL classification:

    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • G33 - Financial Economics - - Corporate Finance and Governance - - - Bankruptcy; Liquidation
    • G34 - Financial Economics - - Corporate Finance and Governance - - - Mergers; Acquisitions; Restructuring; Corporate Governance
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies

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