• 해운
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• s.88
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• pp.12-20
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• 2012

2011년 건화물선 운임지수 평균값은 1,549p를 기록, 2010년 2,758p 대비 44% 가량 낮은 수준을 기록한 동시에 1,137p를 기록했던 2002년 이후 9년여만에 가장 낮은 수준을 기록하였다. 작년 9월 국제통화기금(IMF)에서 발표한 World Economic Outlook 기준 2012년 세계 경제 성장률은 4.0% 성장으로, 중국과 인도, 브라질 등 개도국들의 강한 성장이 미국과 유럽의 저성장을 상쇄할 것이라고 발표하였다. 그러나 IMF는 세계 경제가 유럽위기로 위험한 상황에 처해 있으며 중국 등의 이머징 국가도 위기의 영향을 받고 있다고 경고하며 올해 세계 경제 성장률이 하향 조정될 가능성이 있는 것으로 전망되고 있다. 그러나, 2012년 케이프선형을 둘러싼 수급여건은 다소 개선될 것으로 전망됐다. 다음은 캠코 선박운용 주식회사에서 발표한 "2012년 건화물선 시황전망"의 주요 내용을 요약정리한 것이다.

• 사료
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• s.33
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• pp.39-44
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• 2008

• 사료
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• s.15
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• pp.10-18
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• 2005

• 사료
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• s.38
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• pp.46-49
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• 2009

• 사료
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• s.36
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• pp.64-66
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• 2009

• 사료
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• s.27
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• pp.14-17
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• 2007

• 해운
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• no.7 s.29
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• pp.45-45
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• 2006

• Journal of Korea Port Economic Association
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• v.34 no.4
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• pp.181-190
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• 2018

The goal of this study is empirically to investigate the asymmetric relationship between two variables using the dry cargo freight rates and raw material price data from January 2012 to May 2018. First, we estimate the asymmetry of macroeconomic indicators of commodity prices by using a two - step threshold cointegration test. Second, the asymmetric relation test of the trade balance of existing commodity price changes is tested by bypassing to the high frequency dry cargo freight rate index. As a result of the estimation, in contrast to the existing linear analysis, each boundary value for the lower limit and the upper limit has different asymmetry. This implies that the period of fluctuation of the sudden residual that causes irregular rate of return fluctuations does not establish a long term equilibrium relationship between the raw material price and the dry cargo freight rate. Therefore, in order to consider the sudden price change in the analysis, it is necessary to include the band of inaction that controls the irregular volatility, which is consistent with the asymmetry hypothesis.

• Journal of Korea Port Economic Association
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• v.38 no.4
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• pp.13-23
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• 2022

In this study, from January 2015 to April 2020, we propose a stochastic volatility model to capture the leverage effect on daily freight yields in the dry cargo market and analyze the freight yields. Estimation involving the Bayesian Markov Chain Monte Carlo method for the leverage effect based on the negative correlation that exists between returns and volatility in stochastic volatility analysis yields similar estimates, and the statistcs indicates significant. That is, the results of the empirical analysis show that the degree of correlation between returns and volatility, and the magnitude and sign of fluctuations differ, which suggests that taking into account the leverage effect in the SV model improves the goodness of fit of the estimates. In addition to the statistical significance of the estimated model's leverage effect, the analysis by log predictive power score presents the estimated results with improved predictive power of the model considering the leveraged effect. These astatistically significant empirical results show that the stochastic volatility model considering the leverage effect is important for freight rate risk modeling in the marine industry.

• Journal of the Society of Naval Architects of Korea
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• v.31 no.1
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• pp.14-21
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• 1994

The studios on the stability of damaged ships have been carried out continuously to prevent frequent damages or sinkings which cause large loss of life and fortunes. For dry cargo ships, continuing losses have resulted in new legislation of the probabilistic damage stability. IMO has developed requirements for the subdivison and damage stability of dry cargo ships based on probabilistic concepts. The calculation of the probabilistc damage stability is a complicated and iterative job hence development of computer programs is indispensable. In this research, programming of the probabilistic damage stability according to new requirements has been done and the results were compared with those carried out by the other foreign packages. New algorithm using a grid model in a transversal section was introduced to reduce efforts in preparing input data for damage scenarios and as a result, has brought significant improvement in efficiency and performance.