• Journal of Navigation and Port Research
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• v.41 no.1
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• pp.25-32
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• 2017

The purpose of this investigation is to analyze the synchronization between the representative global freight index, the Baltic Dry bulk Index (BDI) and the China Container Freight Index (CCFI) with monthly data from 2000 to 2016. Using the non-stationarity of the business cycle that is able to include common trends, we employ the Engle-Granger 2 stage co-integration test and found no synchronization. On the contrary, we additionally estimated the causality between the markets and revealed the causality, which implies that the Chinese economy has a significant effect on the global market. The results of this empirical analysis demonstrate that the CCFI of China is appropriate for analyzing the shipping industry. In practice, this means that it is more appropriate to include CCFI in the global market outlook than use it as a substitute for the global freight rate index, the BDI. This is a case study of the synchronization of the economic fluctuations of the shipping industry. It suggests that the economic fluctuations of China need to be considered in the unstable global market forecast. In particular, this case applies to the fluctuations in the shipping industry synchronism and provides important results in scientific terms.

• Proceedings of the Korea Information Processing Society Conference
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• 2009.11a
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• pp.939-940
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• 2009

글로벌 무한경쟁에서 고객들의 품질평가 결과가 반영된 고객만족지수가 높은 제품들이 시장에서 호평을 받고 판매가 확대되는지 자동차와 IT분야의 휴대폰을 대상으로 분석하였다. 실증분석결과로써 장기수명 내구재인 자동차는 높은 상관성을 유지하였으나 짧은수명 내구재인 휴대폰 분야는 높은 고객 만족지수를 획득하였어도 높은 시장점유율로 연결되지는 않았다. 본연구결과는 시장조사 및 상품기획의 마케팅분야와 내구품질 즉 신뢰성분야에서 유용한 시사점을 제공하는데 의의가 있다.

• Journal of Korea Port Economic Association
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• v.40 no.2
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• pp.157-173
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• 2024

This study analyzed the connectivity of the dry bulk carrier market before and after COVID-19 to examine the impact of COVID-19 on the global shipping market. Using the Quantile Time Frequency Connectedness methodology, we analyzed the dynamic connectedness of major dry bulk indices: the Capesize Index (BCI), Supramax Index (BSI), Panamax Index (BPI), and Handysize Index (BHSI). The results are as follows. First, the total spillover connectedness of the dry bulk carrier market increased during the entire period and in the short term after the outbreak of COVID-19, while it slightly decreased in the long term. Second, the roles among the indices changed according to market conditions, with COVID-19 causing the BPI to change from a net receiver to a net transmitter in the short term and the BSI in the long term, affecting net spillover connectedness. Third, it was observed that long-term connectivity tended to increase more than short-term connectedness under extreme conditions. Fourth, the phenomenon of strengthened connectedness under extreme market conditions was confirmed. These results provide important insights into understanding short-term market shocks and long-term stability trends, demonstrating that the connectedness among dry bulk carrier markets strengthens in global crisis situations such as COVID-19. This provides a basis for assessing the resilience and vulnerability of the shipping market and offers useful information for investors and policymakers in crisis management and investment strategy formulation.

• The Journal of the Convergence on Culture Technology
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• v.10 no.4
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• pp.711-719
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• 2024

This study examined the policy of opening up the Chinese A-share market and its performance in four aspects: institutional investors system, cross-trading system with overseas stock markets, inclusion of A-shares into global indices, and establishment of a new board. Then, the impact of these policies on the Stock Index was empirically analyzed, and it was confirmed that institutional investors system such as QFII and RQFII, cross-trading system with overseas stock markets such as Shanghai-Hong Kong Stock Connect and Shenzhen-Hong Kong Stock Connect, inclusion of A-shares into global indices such as the MSCI EM index and FTSE Russell index, and the establishment of a new board of the Science Innovation Board all had statistically significant positive impacts on the stock index. Based on the results of these analysis, we conclude that China should further expand its stock market opening to the outside world, that mutual efforts are needed to alleviate political conflicts and improve understanding, and that easing industry regulations, including real estate, will help China's economic recovery and foreigners' investment in the A-share market.

• International Area Studies Review
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• v.12 no.3
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• pp.517-545
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• 2008

This study, tried to describe the corporations and competitiveness of IT industries in Korea and China as well as the general trend in trade using import-export structure. Further, based on trade intensity index, revealed comparative advantage index, Grubel-Lloyd index, constant market share, the trade structure between Korea and China was analyzed for the equipment in the fields of communication, information, broadcasting and their parts. The results are; first, since 2004, China has been catching up with Korea in the number of their companies listed in the global top 500 conglomerates. Second, the trade intensity index increased in 2007 4.57% up from 2002, showing increasingly closer connection between the two countries in the area of communications equipment. Third, according to revealed comparative advantage index, Korea's info-communications equipment seems to comparatively lag behind, but in terms of import-export structure is in the black. Fourth, in recent years, Korean equipment's market share in the Chinese market has been dropped due to the weakening competitiveness and the changing commodity supplies.

• Management & Information Systems Review
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• v.29 no.2
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• pp.97-118
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• 2010

This paper explores the mean and volatility spillover effects among Chinese, Korean, and the U.S. stock markets during the Asian and global financial crises. We found that, during the Asian Financial crisis, there was no mean spillover effect to the Chinese stock markets. However, there were reciprocal mean spillover effects between the U.S. and the Korean market. This implies that Korean market was open, while Chinese market was secluded from the international financial market at that time. The negative volatility spillover effect between the U.S. and China reinforces this finding. During the global financial crisis, there was reciprocal mean spillover effect between the U.S. and China, and between the U.S. and Korea. This may reflect the fact that Chinese market has opened to the international financial market. However, the volatility spillover effect does not exist between China and the U.S., while the U.S. and Korea has reciprocal volatility spillover effect to each other. These findings may imply that China is still in the process of opening her stock market to international investors.

• Journal of Arbitration Studies
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• v.21 no.2
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• pp.157-183
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• 2011

본 연구는 한국의 다국적 기업이 세계 여러 지역(유럽, 아프리카, 아시아, 아메리카)에서 글로벌 경제 활동과 사업을 범세계적으로 수행하고 있으며. 범세계적인 글로벌 사업수행에서 지역별 경제변화가 지역적으로 다양하면서, 복잡하게 전개되는 것에 대해서 글로벌기업이 지역별 특성에 적합하게 사업을 영위하면서 글로벌하게 현지시장 접근 방법을 어떠한 기준으로 우선 접근하는지에 대한 방법을 통계처리를 하였으며 향후 어떠한 방법을 수용하여 전략적 방법과 모델을 개발하여 자연스럽게 글로벌화 추이를 알아보고자 연구과제들을 실증 분석 하였음. 그리고 글로벌화 하는 TNC's 기업의 지식과 정보의 습득이 중요하며, 변화와 혁신을 통해서 자신의 분야에서는 세계적 선도 기업이 되고자 하는 TNC's 기업이라면 선진국 TNCs 기업보다는 더 적극적인 전략과 사업 모델을 모색해야 한다는 전제하에 실증모형을 설정하고 연구과제들을 정리하였음. 1. TNC's에 의하여 세계경제 활동에 중요한 변수들을 여러 가지 측면에서 검토하고 지리적요인과 경제적 요소들을 고려하여 기술과 자원의 아웃소싱의 글로벌화 방법을 고려하여 세계경제체제의 변화와 향상에 많은 투자내용들이 지리적인 여건과 글로벌화를 고려하여 투자가 진행되어지는가의 추이를 분석하였음. 2. TNC's의 역량에 따라 사업경영에서 현지국가의 경영관리와 산업의 변화에 까지 영향을 주었고 향후에도 글로벌화 경제의 발달과 향상에 협력하는 기업, 자국의 경제 발달과 향상에 협력하는 기업에까지 긍정적인 협조가 이루어지는 투자형태의 글로벌화 지수의 내용을 실증분석 하였음.

• Journal of Convergence for Information Technology
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• v.10 no.3
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• pp.67-75
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• 2020

This paper investigated the information spillover effect between stock market and bond market with the KOSPI daily index and MMF yield data. The overall analysis period is from May 2, 1997 to August 30, 2019. The empirical analysis was conducted by dividing the period from May 2, 1997 to December 30, 2008 before the global financial crisis, and from December 30, 2008 to August 30, 2019 after the global financial crisis, and the overall analysis period. The analysis shows that the EGARCH model considering asymmetric variability is suitable. The price spillover effect and volatility spillover effect existed in both directions between the stock market and the bond market, and the price transfer effect was greater in the period before the global financial crisis than in the period after the global financial crisis. Asymmetric volatility in information between stock and bond markets appears to exist in both markets.

• Economic Analysis
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• v.17 no.2
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• pp.27-55
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• 2011

Although many theoretical studies have tried to explain the volatility in financial markets using models of herd behavior, there have been few empirical studies on dynamic herding due to the technical difficulty of detecting herd behavior with time-series data. Thus, this paper theoretically extends a continuous beliefs system belonging to an agent based economic model by introducing a term representing agents'mutual dependence into each agent's utility function and derives a SV(stochastic volatility)-type econometric model. From this model the time-varying herding parameters are efficiently estimated by a Markov chain Monte Carlo method. Using monthly data of KOSPI and DOW, this paper provides some empirical evidences for stronger herding in the Korean stock market than in the U.S. stock market, and further stronger herding after the global financial crisis than before it. More interesting finding is that time-varying herd behavior has weak autocorrelation and the global financial crisis may increase its volatility significantly.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.01a
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• pp.329-330
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• 2021

벌크화물운송은 해상운송시장에서 가장 큰 규모이고 철강 및 에너지 산업을 뒷받침 하는 중요한 시장이다. 또한 운임의 변동성이 가장 큰 시장으로 상당한 수익을 기대할 수 있는 반면에 파산에 이르는 큰 손실이 발생할 수 있기때문에 시장 참여자들은 합리적이고 과학적인 예측을 기반하여 의사결정을 해야 한다. 그러나 해운시장에서는 과학적 의사결정보다는 경험기반의 의사결정에 의존하기 때문에 시황변동성에 취약하다. 본 논문은 벌크운임예측에 신호 분해 방법인 EMD와 인공신경망을 결합한 하이브리드 모델을 적용하여 과학적 예측방법을 제시하고자 한다. 본 논문은 학문적으로 해운시장 운임예측연구에서 거의 시도되지 않았던 시계열분해법과 기계학습기법을 결합한 하이브리드 모델을 제시하였다는데 의미가 있으며 실무적으로는 해운시장에서 빈번이 일어나는 의사결정의 질이 제고되는데 기여할 것으로 기대된다.