Predicting the risk of financial distress using corporate governance measures

Zhiyong Li, Jonathan Crook, Galina Andreeva and Ying Tang

Pacific-Basin Finance Journal, 2021, vol. 68, issue C

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.

Keywords: Corporate governance; Credit risk; Survival analysis; Financial distress; Ownership structure (search for similar items in EconPapers)
JEL-codes: C25 C41 G21 G32 G33 G34 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0927538X19305542
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:pacfin:v:68:y:2021:i:c:s0927538x19305542

DOI: 10.1016/j.pacfin.2020.101334

Access Statistics for this article

Pacific-Basin Finance Journal is currently edited by K. Chan and S. Ghon Rhee

More articles in Pacific-Basin Finance Journal from Elsevier
Bibliographic data for series maintained by Catherine Liu ().