Journal of Navigation and Port Research (한국항해항만학회지)

Korean Institute of Navigation and Port Research (한국항해항만학회)
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A Study on the Early Warning Model of Crude Oil Shipping Market Using Signal Approach

신호접근법에 의한 유조선 해운시장 위기 예측 연구

  • Bong Keun Choi (Graduate School of Korea Maritime and Ocean University) ;
  • Dong-Keun Ryoo (Division of Shipping Management, Korea Maritime and Ocean University)
  • 최봉근 (한국해양대학교 일반대학원 해운경영학과) ;
  • 류동근 (한국해양대학교 해운경영학부)
  • Received : 2023.04.10
  • Accepted : 2023.06.13
  • Published : 2023.06.30
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Abstract

The manufacturing industry is the backbone of the Korean economy. Among them, the petrochemical industry is a strategic growth industry, which makes a profit through reexports based on eminent technology in South Korea which imports all of its crude oil. South Korea imports whole amount of crude oil, which is the raw material for many manufacturing industries, by sea transportation. Therefore, it must respond swiftly to a highly volatile tanker freight market. This study aimed to make an early warning model of crude oil shipping market using a signal approach. The crisis of crude oil shipping market is defined by BDTI. The overall leading index is made of 38 factors from macro economy, financial data, and shipping market data. Only leading correlation factors were chosen to be used for the overall leading index. The overall leading index had the highest correlation coefficient factor of 0.499 two months ago. It showed a significant correlation coefficient five months ago. The QPS value was 0.13, which was found to have high accuracy for crisis prediction. Furthermore, unlike other previous time series forecasting model studies, this study quantitatively approached the time lag between economic crisis and the crisis of the tanker ship market, providing workers and policy makers in the shipping industry with an framework for strategies that could effectively deal with the crisis.

한국 경제에 근간이 되는 산업은 제조업이고, 그중 석유화학산업은 전량 원유를 수입하여 우리나라의 기술력으로 가공하여 재수출하는 전략적 성장 산업이다. 수많은 제조업의 원료가 되는 원유를 전량 해상운송을 통해 수입하는 우리나라는 변동성이 심한 유조선 운임 시장에 대해 기민하게 대응해야 한다. 유조선 운임 시장의 위기는 관련 해운회사의 위기에서 끝나지 않고 원유를 사용하는 산업에서부터 국민의 생활까지 영향을 미칠 수 있으므로, 본 연구에서 신호접근법을 활용한 조기경보모형을 제시했다. BDTI 운임지수를 활용하여 유조선 해운시장 위기를 정의하고, 38개의 거시경제, 금융, 원자재 지표 그리고 해운시장 데이터를 활용해 시차상관관계를 분석하여 유조선 해운시장 위기에 선행적으로 반응하는 종합선행지수를 도출했다. 연구 결과, 종합선행지수는 두 달 전 가장 높은 0.499의 시차상관계수 값을 가졌으며, 5개월 전부터 유의미한 상관계수 값을 나타냈다. QPS 값은 0.13으로 위기 예측에 대해 높은 정확성을 지니는 것으로 검증됐다. 더불어 기존의 다른 시계열 예측모형 연구들과 달리 본 연구는 경제 위기와 유조선 해운시장의 위기 간의 시차를 계량적으로 접근하여, 관련 해운산업 종사자들과 정책 입안자들에게 위기에 효과적으로 대처할 수 있는 전략의 기틀을 제공함에 의의가 있다.

Keywords

References

  1. Ahn, Y. G.(2022), "A Study on the Determinants of Seaborne Freight Rates and the Priorities of Response Policies on Freight Rates' Volatility", Pukyong National University, Doctoral Dissertation.
  2. Choi, J. S., Kim, K. H. and Han, H. J.(2018), "Development of early warning index in Korean shipping industry by using signal approach, Maritime Policy & Management, Vol. 45, No. 8, pp. 1007-1020. https://doi.org/10.1080/03088839.2018.1467058
  3. Clarksons Research(2022), Oil and Tanker Trades Outlook.
  4. Doopedia(2022), Definition of World Scale, https://www.doopedia.co.kr
  5. Eslami, Payman, Jung, K. Y., Lee, D. W. and Tjolleng Amir(2017), "Predicting tanker freight rates using parsimonious variables and a hybrid artificial neural network with an adaptive genetic algorithm", Maritime Economics & Logistics. Vol. 19, No. 3, pp. 538-550.
  6. Graciela L. Kaminsky(1999), "Currency and Banking Crises: The Early Warnings of Distress", Working Paper of the International Monetary Fund.
  7. Kim, S. W., Jeong, C. H. and Ji, S. W.(2014), Shipping Practice, pp. 381-392.
  8. Kim, T. H. and Seong, J. H.(2009), "Early Warning System on World Grain Prices Using Signal Approach", Journal of Rural Development, Vol. 32, No. 3, pp. 71-84. https://doi.org/10.36464/JRD.2009.32.3.004
  9. Korea Energy Economics Institute(2022), "Monthly Energy Statistics 2022/12", p. 16.
  10. Martin Stopford(2008), Maritime Economics. 3rd Edition, pp. 160-199.
  11. Nam, D. Y.(2016), "A Study on Early Warning System of Iron Ore Price based on Signal Approach Model", The Journal of Chinese Studies, No. 76, pp. 131-149.
  12. National Assembly Budget Office(2006), Understanding the Global Economic Indicator.
  13. Park, W. A. and Choi, G. P.(1998), "A Study on Foreign Exchange Crisis by Signal Approach", Journal of Economic Theory and Econometric, Vol. 9, pp. 1-38.
  14. Park, W. A.(2011), "Was 2008 Crisis Predictable in Korea?: A Signal Approach", Journal of East Asian Economic Integration, Vol. 15, No. 3, pp. 49-83. https://doi.org/10.2139/ssrn.2318297
  15. Suh, S. H.(2004), "A Study on the Construction of Early Warning Systems of Korean Housing Market", Journal of the KRSA, Vol. 20, No. 3, pp. 17-36.
  16. Yun, J. N., Kim, G. H. and Ryoo, D. K.(2017), "A Study on Early Warning Model in the Dry Bulk Shipping Industry by Signal Approach", Journal of Korean Navigation and Port Research, Vol. 42, No. 1, pp. 57-66.