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The characteristics of changes in construction companies to become insolvent by size following macroeconomic fluctuations

Author

Listed:
  • Taein Kwon

    (Department of Sustainable Architectural Engineering, Hanyang University, Haengdang-dong 17, Sungdong-gu, Seoul 133-791, Korea)

  • Sanghyo Lee

    (Department of Sustainable Architectural Engineering, Hanyang University, Haengdang-dong 17, Sungdong-gu, Seoul 133-791, Korea)

  • Jaejun Kim

    (Department of Sustainable Architectural Engineering, Hanyang University, Haengdang-dong 17, Sungdong-gu, Seoul 133-791, Korea)

Abstract

In the present study, individual groups of construction companies were first classified according to size, and then the processes of changes needed for them to become insolvent were examined utilizing KMV models. Another objective of the present study was to analyze the relationship between macroeconomic fluctuations and the changes needed for construction companies to become insolvent (based on their size). In the present study, construction companies were classified by size, and the relationship between the changes required for insolvency of construction companies and macroeconomic fluctuations was analyzed. To analyze the relationship, vector error correction models (VECMs) were constructed. Through the analysis, as perceived intuitively, large companies were determined to be financially sounder than small and medium sized companies. In the case of small and medium sized companies, the trend of changes needed to become insolvent was extremely insensitive to economic fluctuations. That is, it was identified that in the case of relatively small companies, poor financial environments were constantly maintained. Large companies were generally more financially stable, but they responded very sensitively to business. Consequently, their financial conditions deteriorated more rapidly than small or medium sized companies when rapid economic fluctuations occurred.

Suggested Citation

  • Taein Kwon & Sanghyo Lee & Jaejun Kim, 2013. "The characteristics of changes in construction companies to become insolvent by size following macroeconomic fluctuations," E3 Journal of Business Management and Economics., E3 Journals, vol. 4(4), pages 082-092.
    • Handle: RePEc:etr:series:v:4:y:2013:i:4:p:082-092
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    References listed on IDEAS

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    1. Martin Hellwig, 2009. "Systemic Risk in the Financial Sector: An Analysis of the Subprime-Mortgage Financial Crisis," De Economist, Springer, vol. 157(2), pages 129-207, June.
    2. Frederic S. Mishkin, 2011. "Over the Cliff: From the Subprime to the Global Financial Crisis," Journal of Economic Perspectives, American Economic Association, vol. 25(1), pages 49-70, Winter.
    3. Merton, Robert C, 1974. "On the Pricing of Corporate Debt: The Risk Structure of Interest Rates," Journal of Finance, American Finance Association, vol. 29(2), pages 449-470, May.
    4. Jengfang Chen & Chunghuey Huang & Ming-Long Wang & Jia-Chi Cheng, 2010. "Information Effects During the U. S. Subprime Crisis," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 46(1), pages 75-86, January.
    5. Agarwal, Vineet & Taffler, Richard, 2008. "Comparing the performance of market-based and accounting-based bankruptcy prediction models," Journal of Banking & Finance, Elsevier, vol. 32(8), pages 1541-1551, August.
    6. Black, Fischer & Scholes, Myron S, 1973. "The Pricing of Options and Corporate Liabilities," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 637-654, May-June.
    7. Philip Gharghori & Howard Chan & Robert Faff, 2006. "Investigating the Performance of Alternative Default-Risk Models: Option-Based Versus Accounting-Based Approaches," Australian Journal of Management, Australian School of Business, vol. 31(2), pages 207-234, December.
    8. Sueyoshi, Toshiyuki & Goto, Mika, 2009. "DEA-DA for bankruptcy-based performance assessment: Misclassification analysis of Japanese construction industry," European Journal of Operational Research, Elsevier, vol. 199(2), pages 576-594, December.
    9. Sreedhar T. Bharath & Tyler Shumway, 2008. "Forecasting Default with the Merton Distance to Default Model," The Review of Financial Studies, Society for Financial Studies, vol. 21(3), pages 1339-1369, May.
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