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An Investigation of Thai Listed Firms' Financial Distress Using Macro and Micro Variables

Author

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  • Sunti Tirapat

    (Chulalongkorn University, Thailand)

  • Aekkachai Nittayagasetwat

    (National Institute of Development Administration, Thailand)

Abstract

The emergence of the economic crisis in Thailand in 1997 is an interesting case for academic studies. Internationally, it had a contagion effect, spreading to countries in Asia and in other regions. Domestically, it caused a great many industrial and corporate bankruptcies. The Thai economy had been relatively stable since 1984. The recent development in 1997, however, produced a sudden economic slump resulting in closures of many Thai corporations. Using a logit regression, this study develops a macro-related micro-crisis investigation model. The significance of the model is in its ability to bridge a firm's sensitivity to macroeconomic conditions and its financial characteristics in order to explore a firm's financial distress. The findings indicate that macroeconomic conditions are critical indicators of potential financial crisis for a firm. The article shows that the higher a firm's sensitivity to inflation, the higher the firm's exposure to financial distress.

Suggested Citation

  • Sunti Tirapat & Aekkachai Nittayagasetwat, 1999. "An Investigation of Thai Listed Firms' Financial Distress Using Macro and Micro Variables," Multinational Finance Journal, Multinational Finance Journal, vol. 3(2), pages 103-125, June.
    • Handle: RePEc:mfj:journl:v:3:y:1999:i:2:p:103-125
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    References listed on IDEAS

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    Cited by:

    1. Luca Ianni & Gianluca Marullo & Stefania Migliori & Francesco De Luca, 2021. "I modelli predittivi della crisi e dell?insolvenza aziendale. Una systematic review," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2021(2), pages 127-146.
    2. Oscar Martínez, 2003. "Determinantes De Fragilidad En Las Empresas Colombianas," Borradores de Economia 2300, Banco de la Republica.
    3. Selcuk Caner & Mehmet Baha Karan, 2012. "Screening Creditworthiness of SME's: The Case of Small Business Assistance in Turkey," Multinational Finance Journal, Multinational Finance Journal, vol. 16(1-2), pages 1-20, March - J.
    4. Piruna Polsiri & Kingkarn Sookhanaphibarn, 2009. "Corporate Distress Prediction Models Using Governance and Financial Variables: Evidence from Thai Listed Firms during the East Asian Economic Crisis," Journal of Economics and Management, College of Business, Feng Chia University, Taiwan, vol. 5(2), pages 273-304, July.
    5. M. A. Lagesh & Maram Srikanth & Debashis Acharya, 2018. "Corporate Performance during Business Cycles: Evidence from Indian Manufacturing Firms," Global Business Review, International Management Institute, vol. 19(5), pages 1261-1274, October.
    6. Oscar Martínez A., 2003. "Determinantes de Fragilidad en las Empresas Colombianas," Borradores de Economia 259, Banco de la Republica de Colombia.
    7. Oscar Martínez A., 2003. "Determinantes de fragilidad en las empresas colombianas," Temas de Estabilidad Financiera 001, Banco de la Republica de Colombia.
    8. Eka Bertuah & Erlane K. Ghani*, 2018. "Bulls and Bears and Bankruptcy- An Early Warning of Distress," The Journal of Social Sciences Research, Academic Research Publishing Group, pages 962-969:5.
    9. Ijaz Hussain, 2013. "Estimating Firms’ Vulnerability to Short-Term Financing Shocks: The Case of Foreign Exchange Companies in Pakistan," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 18(2), pages 147-163, July-Dec.
    10. Nicholas Lee & Fu-Min Chang & Yale Wang & Duong Thu La & Hsiang-Jane Su, 2017. "Impacts of Macroeconomic News on Vietnamese SOEs' Performance," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 7(1), pages 1-5.
    11. Mehmet Karan & Aydın Ulucan & Mustafa Kaya, 2013. "Credit risk estimation using payment history data: a comparative study of Turkish retail stores," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 21(2), pages 479-494, March.
    12. du Jardin, Philippe, 2009. "Bankruptcy prediction models: How to choose the most relevant variables?," MPRA Paper 44380, University Library of Munich, Germany.
    13. Eltigani Mohamed Ali Ahmed, 2021. "Leadership and organizational distress: Review of literature," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 10(6), pages 01-18, September.
    14. Philippe Jardin & David Veganzones & Eric Séverin, 2019. "Forecasting Corporate Bankruptcy Using Accrual-Based Models," Computational Economics, Springer;Society for Computational Economics, vol. 54(1), pages 7-43, June.
    15. repec:arp:tjssrr:2019:p:95-102 is not listed on IDEAS
    16. Ashraf, Sumaira & Félix, Elisabete G.S. & Serrasqueiro, Zélia, 2020. "Development and testing of an augmented distress prediction model: A comparative study on a developed and an emerging market," Journal of Multinational Financial Management, Elsevier, vol. 57.

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