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Can we predict the likelihood of financial distress in companies from their corporate governance and borrowing?

Author

Listed:
  • Sara Sofia Gomes Mariano
  • Javad Izadi
  • Maurice Pratt

Abstract

Purpose - The purpose of this study is to investigate the impact of corporate governance structures on the likelihood of financial distress in UK listed companies. The paper examines the impact of borrowing and corporate governance structures on financial distress likelihood in UK companies. Design/methodology/approach - The study uses a quantitative approach with financial, governance and borrowing measures and data from 270 firm-observations between 2010 and 2018. The study analyses the impact of borrowing and corporate governance structures to indicate financial distress likelihood in British companies. Corporate governance variables such as ownership concentration, independence indicators, chief executive officer duality, director remuneration and corporate loans are considered, as well as the UK Corporate Governance Code. Findings - The results indicate that companies with low ownership concentration and a low degree of independence are more likely to incur financial distress. Larger boards and better director remuneration can reduce financial distress likelihood and the existence of corporate loans can increase this likelihood. Empirical consideration of corporate borrowing is a new contribution to the literature. Originality/value - Variables are highlighted and aggregated that have not otherwise been studied together; the UK Corporate Governance Code’s main ideas are empirically supported; the study is useful for defining corporate governance structure strategies.

Suggested Citation

  • Sara Sofia Gomes Mariano & Javad Izadi & Maurice Pratt, 2021. "Can we predict the likelihood of financial distress in companies from their corporate governance and borrowing?," International Journal of Accounting & Information Management, Emerald Group Publishing Limited, vol. 29(2), pages 305-323, January.
  • Handle: RePEc:eme:ijaimp:ijaim-08-2020-0130
    DOI: 10.1108/IJAIM-08-2020-0130
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