• Journal of Service Research and Studies
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• v.5 no.1
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• pp.91-103
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• 2015

We examine the information transmission between the KT Spot and the KT Futures Index, the SK Telecom Spot and the SK Telecom Futures Index, based on the returns data offered by the Korea Exchange. The data includes daily return data from 1 January 2012 to 31 December 2014. Utilizing a dynamic analytical tool-the VAR model, Granger Causality test, Impulse Response Function and Variance Decomposition have been implemented. The results of the analysis are as follows. Firstly, results of Granger Causality test suggests the existence of mutual causality the KT Futures Index and the SK Telecom Futures Index precede and have explanatory power the KT Spot and the SK Telecom Spot However the results also identified a greater causality and explanatory power of the KT Spot and the SK Telecom Spot over the KT Futures Index and the SK Telecom Futures Index. Secondly, the results of impulse response function suggest that the KT Futures Index show immediate response to the KT Spot and are influenced by till time 4. From time 2, the impact gradually disappears. Also the SKT Futures Index show immediate response to the SKT Spot and are influenced by till time 4. From time 2, the impact gradually disappears. Lastly, the variance decomposition analysis shows that the changes of return of the KT Spot and SKT Spot are dependent on those of the KT Futures Index and the SK Telecom Futures Index. This implies that returns on the KT Spot and SKT Spot have a significant influence over returns on the KT Futures Index and the SK Telecom Futures Index. It contributes to the understanding of market price formation function through analysis of detached the KT Spot and the KT Futures Index, the SK Telecom Spot and the SK Telecom Futures Index.

• The Journal of Society for e-Business Studies
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• v.26 no.3
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• pp.33-53
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• 2021

In the crossroads of social change caused by the spread of the Fourth Industrial Revolution and the prolonged COVID-19, the Korean government announced the Digital New Deal policy on July 14, 2020. The Digital New Deal policy's primary goal is to create new businesses by accelerating digital transformation in the public sector and industries around data, networks, and artificial intelligence technologies. However, in a rapidly changing social environment, information asymmetry of the future benefits of technology can cause differences in the public's ability to analyze the direction and effectiveness of policies, resulting in uncertainty about the practical effects of policies. On the other hand, the media leads the formation of discourse through communicators' role to disseminate government policies to the public and provides knowledge about specific issues through the news. In other words, as the media coverage of a particular policy increases, the issue concentration increases, which also affects public decision-making. Therefore, the purpose of this study is to verify the dynamic relationship between the media coverage and the stock market on the Korean government's digital New Deal policy using Granger causality, impulse response functions, and variance decomposition analysis. To this end, the daily stock turnover ratio, daily price-earnings ratio, and EWMA volatility of digital technology-based companies related to the digital new deal policy among KOSDAQ listed companies were set as variables. As a result, keyword search volume, daily stock turnover ratio, EWMA volatility have a bi-directional Granger causal relationship with media coverage. And an increase in media coverage has a high impact on keyword search volume on digital new deal policies. Also, the impulse response analysis on media coverage showed a sharp drop in EWMA volatility. The influence gradually increased over time and played a role in mitigating stock market volatility. Based on this study's findings, the amount of media coverage of digital new deals policy has a significant dynamic relationship with the stock market.

• Journal of Science and Technology Studies
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• v.16 no.1
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• pp.29-61
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• 2016

This paper explains the one of the most problematic factor in the society that leads to social inequality - increase in non-regular work. Theoretically, this expansion of non-regular work can be explained by technologies that are designed to save the labor force, especially since corporations in Korea have strategies to replace the regular workers with temporary workers, to save money. OECD also noted that Korea's income inequality is pretty high in ranking when compared with the rest of the OECD members, and says that globalization and technological innovation are the factors of this problem. To refine the argument, this study also looks at relationship between development made in sciences - which can be stated as a proxy variable to look at the advances made in technology - and expansion of temporary work force by using VAR methodology. Based on the results of this analysis in the future temporary/regular workers ratio started with decline, then turn to rise. These temporary/regular workers ratio sustained growth prediction shows that the expansion of the temporary expansion contributes to instability and social inequality in the labor market and technological change are interrelated.

• Proceedings of the Korean Vacuum Society Conference
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• 2013.02a
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• pp.303-303
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• 2013

표면에 부착된 나노/마이크로 입자는 다양한 분야에서 오염물질로 작용한다. 특히 형상이 미세하고 공정 단계가 복잡한 반도체 및 디스플레이 등의 전자 소자 공정에서 미치는 영향이 크다. 따라서 입자상 오염물질의 제거에 관하여 상용화된 습식 세정 방법이 다양하게 존재하지만 표면 손상, 화학 반응, 부산물, 세정 효율 등 여러 가지 문제점이 있어 새로운 세정 방법이 요구된다. 이에 건식 세정 방법, 그 중에서도 입자의 충돌을 통해 제거하는 방법인 에어로졸 세정, 필렛 세정 등이 개발되었으나 마이크로 크기로 생성되는 입자로 인하여 형상의 손상이 크다. 따라서 본 연구에서는 나노 단위로 기체/고체 혼합물만 생성하여 세정하는 가스 클러스터 세정 방법을 이용하여 이러한 문제점을 해결하고자 하였다. 클러스터 세정 장비를 이용한 표면 처리는 충돌에 의한 제거에 기반한다. 따라서 생성 및 가속되는 클러스터로부터 대상으로 전달되는 운동량의 정도가 세정 특성에 영향을 미치며 이는 생성되는 클러스터의 크기에 종속적이다. 생성 클러스터의 크기 분포는 분사 거리, 유량, 분사 각도, 노즐 냉각 온도 등의 변수에 관한 함수이다. 따라서 본 연구에서는 $CO_2$ 클러스터를 이용한 세정 특성을 정의 및 제어하기 위하여 생성되는 클러스터 특성에 관하여 이론적, 수치 해석적, 실험적 연구를 수행하였다. 먼저, $CO_2$의 물리적 특성 및 이를 이용한 특정 크기 오염 물질을 제거하는데 요구되는 임계 클러스터 크기 계산을 이론적으로 구하였다. 이는 오염물질의 부착력과 클러스터의 운동량 전달에 의한 제거력의 비교를 통해 이루어졌다. 두 번째로 클러스터 크기분포를 수치 해석적으로 예측하기 위하여 각 조건에 대하여 유동해석을 수행하고 이를 통해 구해진 노즐 내 기체의 냉각 속도를 GDE (General Dynamic Equation) 계산에 대입하여 구하였다. 마지막으로 PBMS(Particle Beam Mass Spectrometer)를 이용하여 실험적으로 클러스터 크기분포를 각 조건에 대하여 구할 수 있었다. 또한 크기 분포 경향에 대한 간접적 확인을 위하여 포토레지스트가 코팅된 웨이퍼에 클러스터의 충격으로 생성된 크레이터 크기의 경향을 분석하였다. 이와 같은 방법에 의하여 생성되는 클러스터는 노즐의 유량 증가, 온도 상승에 각각 비례하여 작아지는 것을 확인할 수 있었다.

• Journal of Navigation and Port Research
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• v.44 no.1
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• pp.44-52
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• 2020

More accurate forecasting of port cargo in the global long-term recession is critical for the implementation of port policy. In this study, the Busan Port container volume (export cargo and transshipment cargo) was estimated using the Vector Autoregressive (VAR) model and the vector error correction (VEC) model considering the causal relationship between the economic scale (GDP) of Korea, China, and the U.S. as well as ARIMA, a single volume model. The measurement data was the monthly volume of container shipments at the Busan port J anuary 2014-August 2019. According to the analysis, the time series of import and export volume was estimated by VAR because it was relatively stable, and transshipment cargo was non-stationary, but it has cointegration relationship (long-term equilibrium) with economic scale, interest rate, and economic fluctuation, so estimated by the VEC model. The estimation results show that ARIMA is superior in the stationary time-series data (local cargo) and transshipment cargo with a trend are more predictable in estimating by the multivariate model, the VEC model. Import-export cargo, in particular, is closely related to the size of our country's economy, and transshipment cargo is closely related to the size of the Chinese and American economies. It also suggests a strategy to increase transshipment cargo as the size of China's economy appears to be closer than that of the U.S.

• Journal of the Korean Data and Information Science Society
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• v.26 no.6
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• pp.1387-1395
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• 2015

Since the financial crisis of 2008, the People's Republic of China has aggressively been pursuing the internationalization of the Chinese Yuan or Renminbi. In this regard, rapidly increasing use of the Chinese Yuan in the onshore and offshore markets are important milestones. This paper analyzes relationship between the onshore and offshore Chinese Yuan spot markets. Major findings of this paper are as follows : First, there is full feedback relationship between the Onshore and Offshore Chinese Yuan Markets. Second, the difference between the yuan's offshore exchange rate and the onshore was getting tight. Third, the offshore Yuan market affects on the onshore market based on the empirical tests.

• Journal of Service Research and Studies
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• v.6 no.3
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• pp.41-54
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• 2016

We examine the information transmission between the business survey index(BSI) based on the returns data offered by Federation of Korean Industries and KOSPI Index based on the returns data offered by Korea Bank. The data includes monthly return data from January 1998 to September 2015. The results of the analysis are as follows. Firstly, results of Granger Causality test suggests the existence of mutual causality KOSPI Index precede and have explanatory power BSI. Secondly, the results of impulse response function suggest that BSI Index show immediate response to KOSPI Index and are influenced by till time 4 From time 2 the impact gradually disappears. Also KOSPI Index show immediate response to BSI and are influenced by till time 4 From time 2 the impact gradually disappears. Lastly, the variance decomposition analysis showed a high influence of the KOSPI Index on the BSI and significant influence of the BSI on the KOSPI Index. This implies that returns on the KOSPI Index have a significant influence over returns on the BSI. The study is a further extension of existing studies on information transmission mechanism between the BSI and KOSPI. Finally, our results can be used as a guide by the Korea Bank and Republic of Korea and as well as Federation of Korean Industries.