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The Timescale Effects of Corporate Governance Measure on Predicting Financial Distress

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  • Hsin-Hung Chen

    (Department of Business Administration, Cheng Shiu University, No. 840, Chengcing Road, Niaosong Township, Kaohsiung County 833, Taiwan)

Abstract

This study aims to investigate the timescale effects of the corporate governance measure on predicting financial distress of corporations. A new corporate governance measure is adopted in the logistic regression model. Historical data of the companies listed on the Taiwan Stock Exchange Corporation (TSEC) were used in the empirical analysis. The analysis was based on three different prediction horizons comprising one-, two- and three-year horizons. The results confirmed that the accuracy of the logistic regression model for predicting corporate financial distress can be improved by incorporating the corporate governance measure. Moreover, the improvements of the correct rate for classification by incorporating the corporate governance measure increased as the prediction horizon was raised. The improvements of the correct rate for classification by incorporating the corporate governance measure are 2.9%, 4.4% and 5.8% for "Year 1", "Year 2" and "Year 3" models respectively.

Suggested Citation

  • Hsin-Hung Chen, 2008. "The Timescale Effects of Corporate Governance Measure on Predicting Financial Distress," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 11(01), pages 35-46.
    • Handle: RePEc:wsi:rpbfmp:v:11:y:2008:i:01:n:s0219091508001246
    DOI: 10.1142/S0219091508001246
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    Citations

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    Cited by:

    1. Wikil Kwak & Yong Shi & Gang Kou, 2012. "Bankruptcy prediction for Korean firms after the 1997 financial crisis: using a multiple criteria linear programming data mining approach," Review of Quantitative Finance and Accounting, Springer, vol. 38(4), pages 441-453, May.
    2. Tri Tri Nguyen & Chau Minh Duong & Nguyet Thi Minh Nguyen & Hung Quang Bui, 2020. "Accounting conservatism and banking expertise on board of directors," Review of Quantitative Finance and Accounting, Springer, vol. 55(2), pages 501-539, August.
    3. Manzaneque, Montserrat & Merino, Elena & Priego, Alba María, 2016. "The role of institutional shareholders as owners and directors and the financial distress likelihood. Evidence from a concentrated ownership context," European Management Journal, Elsevier, vol. 34(4), pages 439-451.
    4. Sumaira Ashraf & Elisabete G. S. Félix & Zélia Serrasqueiro, 2022. "Does board committee independence affect financial distress likelihood? A comparison of China with the UK," Asia Pacific Journal of Management, Springer, vol. 39(2), pages 723-761, June.
    5. Ammari, Aymen & Bouteska, Ahmed & Regaieg, Boutheina, 2016. "CEO Entrenchment and Performance: New Evidence Using Nonlinear Principal Component Analysis," MPRA Paper 75529, University Library of Munich, Germany.
    6. Manzaneque, Montserrat & Priego, Alba María & Merino, Elena, 2016. "Corporate governance effect on financial distress likelihood: Evidence from Spain," Revista de Contabilidad - Spanish Accounting Review, Elsevier, vol. 19(1), pages 111-121.
    7. Hui Hu & Milind Sathye, 2015. "Predicting Financial Distress in the Hong Kong Growth Enterprises Market from the Perspective of Financial Sustainability," Sustainability, MDPI, vol. 7(2), pages 1-15, January.
    8. Zhiyan Cao & Fei Leng & Ehsan Feroz & Sergio Davalos, 2015. "Corporate governance and default risk of firms cited in the SEC’s Accounting and Auditing Enforcement Releases," Review of Quantitative Finance and Accounting, Springer, vol. 44(1), pages 113-138, January.
    9. Barboza, Flavio & Altman, Edward, 2024. "Predicting financial distress in Latin American companies: A comparative analysis of logistic regression and random forest models," The North American Journal of Economics and Finance, Elsevier, vol. 72(C).
    10. Emma L. Schultz & David T. Tan & Kathleen D. Walsh, 2017. "Corporate governance and the probability of default," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 57, pages 235-253, April.
    11. Nikos Vafeas & Adamos Vlittis, 2012. "An agency-based perspective on the performance consequences of COO adoption," Review of Quantitative Finance and Accounting, Springer, vol. 39(3), pages 361-382, October.
    12. Ayoola Tajudeen John & Obokoh Lawrence Ogechukwu, 2018. "Corporate Governance and Financial Distress in the Banking Industry: Nigerian Experience," Journal of Economics and Behavioral Studies, AMH International, vol. 10(1), pages 182-193.
    13. Manjusha Senapathi & Saptarshi Ghosal, 2016. "Modelling Corporate Sector Distress in India," Working Papers id:11540, eSocialSciences.

    More about this item

    Keywords

    Corporate governance; financial distress; financial ratios; logistic regression;
    All these keywords.

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • G2 - Financial Economics - - Financial Institutions and Services
    • G3 - Financial Economics - - Corporate Finance and Governance

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