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Empirics of Korean Shipping Companies’ Default Predictions

Author

Listed:
  • Sunghwa Park

    (Shipping Finance Research Division, Korea Maritime Institute, Busan 49111, Korea)

  • Hyunsok Kim

    (College of Economics and International Trade, Pusan National University, Busan 46241, Korea)

  • Janghan Kwon

    (Ocean Economy and Statistics Research Department, Korea Maritime Institute, Busan 49111, Korea)

  • Taeil Kim

    (Shipping and Logistics Research Department, Korea Maritime Institute, Busan 49111, Korea)

Abstract

In this paper, we use a logit model to predict the probability of default for Korean shipping companies. We explore numerous financial ratios to find predictors of a shipping firm’s failure and construct four default prediction models. The results suggest that a model with industry specific indicators outperforms other models in predictive ability. This finding indicates that utilizing information about unique financial characteristics of the shipping industry may enhance the performance of default prediction models. Given the importance of the shipping industry in the Korean economy, this study can benefit both policymakers and market participants.

Suggested Citation

  • Sunghwa Park & Hyunsok Kim & Janghan Kwon & Taeil Kim, 2021. "Empirics of Korean Shipping Companies’ Default Predictions," Risks, MDPI, vol. 9(9), pages 1-17, September.
    • Handle: RePEc:gam:jrisks:v:9:y:2021:i:9:p:159-:d:627098
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    References listed on IDEAS

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    Cited by:

    1. Jeongmin Lee & Jinwoo Lee & Changhee Lee & Yulseong Kim, 2023. "Identifying ESG Trends of International Container Shipping Companies Using Semantic Network Analysis and Multiple Case Theory," Sustainability, MDPI, vol. 15(12), pages 1-20, June.

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