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Financial Distress Comparison Across Three Global Regions

Author

Listed:
  • Harlan D. Platt

    (Northeastern University, 360 Huntington Ave., Boston, MA 02115, USA)

  • Marjorie B. Platt

    (Northeastern University, 360 Huntington Ave., Boston, MA 02115, USA)

Abstract

Globalization has precipitated movement of output and employment between regions. We examine factors related to corporate financial distress across three continents. Using a multidimensional definition of financial distress we test three hypotheses to explain financial distress using historical financial data. A null hypothesis of a single global model was rejected in favor of a fully relaxed model which created individual financial distress models for each region. This result suggests that despite other indications of worldwide convergence, international differences in accounting rules, lending practices, managements skill levels, and legal requirements among others has kept corporate decline from becoming commoditized.

Suggested Citation

  • Harlan D. Platt & Marjorie B. Platt, 2008. "Financial Distress Comparison Across Three Global Regions," JRFM, MDPI, vol. 1(1), pages 1-34, December.
  • Handle: RePEc:gam:jjrfmx:v:1:y:2008:i:1:p:129-162:d:28326
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    References listed on IDEAS

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    5. Iwasaki, Ichiro & Kočenda, Evžen & Shida, Yoshisada, 2021. "Distressed acquisitions: Evidence from European emerging markets," Journal of Comparative Economics, Elsevier, vol. 49(4), pages 962-990.
    6. Mário S. Céu & Raquel M. Gaspar, 2023. "Financial Distress in European Vineyards and Olive Groves," Working Papers REM 2023/0266, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    7. David Alaminos & Agustín del Castillo & Manuel Ángel Fernández, 2016. "A Global Model for Bankruptcy Prediction," PLOS ONE, Public Library of Science, vol. 11(11), pages 1-18, November.
    8. Fernández-Gámez, Manuel Ángel & Soria, Juan Antonio Campos & Santos, José António C. & Alaminos, David, 2020. "European country heterogeneity in financial distress prediction: An empirical analysis with macroeconomic and regulatory factors," Economic Modelling, Elsevier, vol. 88(C), pages 398-407.
    9. Mogilat , Anastasia & Ipatova, Irina, 2016. "Technical efficiency as a factor of Russian industrial companies’ risks of financial distress," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 42, pages 05-29.
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