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Macroeconomic Determinants of Firms' Default in the Czech Republic
[Makroekonomické determinanty úpadku firem v České republice]

Author

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  • Petr Jakubík
  • Tatiana Škerlíková

Abstract

This article deals with firms' defaults and empirically tests its key macroeconomic determinants. The conducted empirical analysis employs quarterly time series of the number of insolvency petitions filed in the period 1996-2009. The obtained results point out prediction ability of the growth rate of real consumption and investment, change in the growth rate of real foreign demand, interest rates, change in the growth rate of the nominal exchange rate and change in the growth rate of real wages on firms' defaults development. The study confirms a strong link between firms' bankruptcy rates and the macroeconomic development in the Czech economy.

Suggested Citation

  • Petr Jakubík & Tatiana Škerlíková, 2014. "Macroeconomic Determinants of Firms' Default in the Czech Republic [Makroekonomické determinanty úpadku firem v České republice]," Český finanční a účetní časopis, Prague University of Economics and Business, vol. 2014(2), pages 69-80.
  • Handle: RePEc:prg:jnlcfu:v:2014:y:2014:i:2:id:395:p:69-80
    DOI: 10.18267/j.cfuc.395
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    References listed on IDEAS

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    1. Petr Jakubík & Petr Teplý, 2011. "The JT Index as an Indicator of Financial Stability of Corporate Sector," Prague Economic Papers, Prague University of Economics and Business, vol. 2011(2), pages 157-176.
    2. Sumit Agarwal & Chunlin Liu, 2003. "Determinants of credit card delinquency and bankruptcy: Macroeconomic factors," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 27(1), pages 75-84, March.
    3. Viral V. Acharya & Krishnamurthy V. Subramanian, 2009. "Bankruptcy Codes and Innovation," The Review of Financial Studies, Society for Financial Studies, vol. 22(12), pages 4949-4988, December.
    4. Petr JAKUBÍK, 2007. "Macroeconomic Environment and Credit Risk (in English)," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 57(1-2), pages 60-78, March.
    5. Deakin, Eb, 1972. "Discriminant Analysis Of Predictors Of Business Failure," Journal of Accounting Research, Wiley Blackwell, vol. 10(1), pages 167-179.
    6. Unknown, 2005. "Index of volume 49," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 49(4), pages 1-5.
    7. Jia Liu, 2004. "Macroeconomic determinants of corporate failures: evidence from the UK," Applied Economics, Taylor & Francis Journals, vol. 36(9), pages 939-945.
    8. Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 71-111.
    9. Edward I. Altman, 1968. "Financial Ratios, Discriminant Analysis And The Prediction Of Corporate Bankruptcy," Journal of Finance, American Finance Association, vol. 23(4), pages 589-609, September.
    10. Daniel McFadden, 1976. "A Comment on Discriminant Analysis "Versus" Logit Analysis," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 5, number 4, pages 511-523, National Bureau of Economic Research, Inc.
    11. John G. Cragg & Russell S. Uhler, 1970. "The Demand for Automobiles," Canadian Journal of Economics, Canadian Economics Association, vol. 3(3), pages 386-406, August.
    12. Edward I. Altman, 1968. "The Prediction Of Corporate Bankruptcy: A Discriminant Analysis," Journal of Finance, American Finance Association, vol. 23(1), pages 193-194, March.
    13. Ohlson, Ja, 1980. "Financial Ratios And The Probabilistic Prediction Of Bankruptcy," Journal of Accounting Research, Wiley Blackwell, vol. 18(1), pages 109-131.
    14. anonymous, 2005. "Index to Volume 51," Management Science, INFORMS, vol. 51(12), pages 1896-1902, December.
    15. Estrella, Arturo, 1998. "A New Measure of Fit for Equations with Dichotomous Dependent Variables," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(2), pages 198-205, April.
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    More about this item

    Keywords

    Firm's Default; Insolvency Petition; Insolvency; Over-indebtedness; Bankruptcy; Credit cost; GDP; Macroeconomic determinants; Firemní úpadek; Insolvenční návrh; Insolvence; Předlužení; Konkurz; Náklady věřitele; HDP; Makroekonomické determinanty;
    All these keywords.

    JEL classification:

    • G33 - Financial Economics - - Corporate Finance and Governance - - - Bankruptcy; Liquidation
    • G34 - Financial Economics - - Corporate Finance and Governance - - - Mergers; Acquisitions; Restructuring; Corporate Governance

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