• Journal of Korea Port Economic Association
• /
• v.38 no.4
• /
• pp.107-118
• /
• 2022

In this study, daily data from January 2002 to June 2022 were used to investigate the relationship between risk-return relationship and market fear, uncertainty, stock market, and maritime freight index for the crude oil market. For this study, the time varying EGARCH-M model was applied to the risk-return relationship, and the wavelet consistency model was used to analyze the relationship between market fear, uncertainty, stock market, and maritime freight index. The analysis results of this study are as follows. First, according to the results of the time-varying risk-return relationship, the crude oil market was found to be related to high returns and high risks. Second, the results of correlation and Granger causality test, it was found that there was a weak correlation between the risk-return relationship and VIX, EPU, S&P500, and BDI. In addition, it was found that there was no two-way causal relationship in the risk-return relationship with EPU and S&P500, but VIX and BDI were found to affect the risk-return relationship. Third, looking at the results of wavelet coherence, it was found that the degree of the risk-return relationship and the relationship between VIX, EPU, S&P500, and BDI was time-varying. In particular, it was found that the relationship between each other was high before and after the crisis period (financial crisis, COVID-19). And it was found to be highly associated with organs. In addition, the risk-return relationship was found to have a positive relationship with VIX and EPU, and a negative relationship with S&P500 and BDI. Therefore, market participants should be well aware of economic environmental changes when making decisions.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2020.06a
• /
• pp.152-152
• /
• 2020

가뭄은 장기간에 걸쳐 광범위하게 발생하는 특징으로 인해 자연재해뿐만 아니라 사회·경제적으로도 큰 피해를 야기한다. 즉, 가뭄으로 인한 댐의 용수 공급 부족은 공업·농업뿐만 아니라 국민들의 생활에도 상당한 피해를 미친다. 하지만, 가뭄으로 인한 지역의 피해정도는 해당 지역의 특성 또는 가뭄에 대한 지역의 대처 능력에 따라 매우 상이하게 나타난다. 따라서, 가뭄에 의한 피해를 저감시키고 안전한 용수공급이 이루어질 수 있도록 지역의 특성 및 용수 공급 체계를 고려한 위험 정도를 분석하는 것이 필요하며, 사람들과 직접적인 연관성이 높은 물수급 관련 인자들을 고려하여 가뭄의 잠재적 영향 및 피해정도를 파악할 수 있는 가뭄 위험도 평가가 수행되어야 한다. 그러나 용수공급 및 수요 현황을 반영한 가뭄 노출성 및 취약성 평가는 아직 부족한 실정이며, 각 인자에 대한 가중치를 산정하는데 설문조사 또는 단순평균방법이 많이 이용되고 있다. 본 연구에서는 용수공급 체계 및 지역적 특성을 고려하고 객관적인 가중치 산정방안이 적용된 확률·통계적 가뭄 위험도를 평가방법을 제시하였다. 먼저, 용수공급 실패 사상의 발생 확률이 적용된 결합가뭄관리지수(Joint Drought Management Index, JDMI)를 통해 가뭄노출성지수(Drought Hazard Index, DHI)를 산정하고, 각 인자에 대한 영향정도를 객관적으로 판단할 수 있는 가우스 혼합 모델을 활용하여 가뭄취약성지수(Drought Vulnerability Index, DVI)를 산정하였다. 이 두 지수를 결합하여 가뭄위험도지수(Drought Risk Index, DRI)를 계산하고 위험도 평가를 수행하였다. 충청지역에 적용한 결과, DHI는 용수공급 실패 사상의 발생확률이 큰 보령시가 가장 높게 나타났으며, DVI는 농업적 요소의 가중치가 크게 산정됨에 따라 청주시가 가장 높게 산정되었다. DHI와 DVI가 결합된 DRI의 경우는 청주시가 가장 위험한 것으로 나타났다. 따라서, DRI가 가장 높은 청주시는 충정 지역의 가뭄 위험 경감을 위한 대응 수립시 우선적으로 고려되어야 한다.

• Journal of Korean Society of Environmental Engineers
• /
• v.38 no.6
• /
• pp.334-342
• /
• 2016

Conventional eco-design has been implemented based only on the environmental aspects of a product. Key components of a product identified from the analysis of the environmental aspects have been the target for improvement in the conventional eco-design. The use of eco-design index (EDI) considering both the environmental and economic aspects, and utility value (UV) of a product can be envisaged as an alternative way of implementing and assessing the eco-design. The objective of this study was to propose the logic of the EDI and apply it to the components for performing printing function of the multi-function printer. The EDI was formulated by quantifying the UV, life cycle environmental impact (LCE) and life cycle cost (LCC) of the components of a product, here components of the printer. Of the eight components investigated, roller was identified as the best performing consumable in both the environmental and economic aspects. However, its UV was the lowest among the eight. The EDI of the roller was mere $4^{th}$ in ranking out of the eight. Transfer belt ranked $8^{th}$ and $5^{th}$ in the environmental and economic aspects, respectively, while $2^{nd}$ in the utility value with its EDI ranked $3^{rd}$. This indicates that not only the environmental aspects but also economic and utility value aspects should be considered when identifying the key components for improvement in the eco-design.

• The Korean Journal of Applied Statistics
• /
• v.29 no.1
• /
• pp.13-25
• /
• 2016

High-speed railway (Korea Train Express) has had a deep impact on the regional economy of Korea. Current high-speed rail research is mostly theoretical, there is a lack of quantitative research using a precise algorithm to study the effect of high-speed railway on the regional economy. This paper analyses the influence of high-speed rail on the regional economy, with a focus on the Daegu area. Quantitative analysis using department store indexes and regional medical records is performed to calculate the economic influence of high-speed rail. The result shows that high-speed railway effects the regional economy though regional consumption growth and medical care trends.

• Journal of Digital Convergence
• /
• v.11 no.11
• /
• pp.59-70
• /
• 2013

As people invest most of their asset in real estate, there is high interest in changing in housing and real estate prices in the future for a digital economy. Various variables are affecting the housing and real estate market. Among them, four variables : households, productive population, interest rate and index price are chosen and analyzed representatively. This study is aimed to build decision model of apartment prices in Seoul empirically. From the analysis result the stock index is the only variable which is significant statistically to apartments in Seoul. From this study, the households and productive population show the same direction as shown in the previous studies before but not significant statistically. Among the independent variables, the stock index is chosen as a major variable of determinant of Seoul apartment price. From the result of the research, prediction of stock market should be preceded to forecast the movement of housing and real estate market in the future.

• Korean Journal of Organic Agriculture
• /
• v.29 no.4
• /
• pp.539-559
• /
• 2021

Agricultural ecosystem biodiversity monitoring and community variation analysis of insects were conducted from 2016 to 2018 in selected conventional and organic farming fields in Goesan district, Chungcheongbuk-do, South Korea. The total number of 1,125 species in 16 orders and 207 families were identified. The numbers of species collected in the locations practicing organic farming were greater than the conventional farming both in the paddy fields (564 vs. 383 species) and the upland fields (471 vs. 365 species). Among them, Hemiptera had the most abundant of species, followed by Diptera, Hymenoptera, Coleoptera and Araneae. We calculated various index values of biodiversity (diversity index H', richness index R, evenness index J', dominance index D, and similarity index QS) based on quantitative measurements of species and individuals collected over three years of field monitoring. Variations in biodiversity index values in different agricultural systems show that the positive effect of organic farming is to produce more biodiversity than conventional farming systems. When compared to other index results reported in Korea, Japan and China, the richness index was higher and other index values were at similar levels.

• International Area Studies Review
• /
• v.14 no.2
• /
• pp.25-40
• /
• 2010

Accurate forecasting of volatility is of considerable interest in financial volatility research, particularly in regard to portfolio allocation, option pricing and risk management because volatility is equal to market risk. So, we attempted to delineate a model with good ability to forecast and identified stylized features of volatility, with a focus on volatility persistence or long memory in the Australian futures market. In this context, we assessed the long-memory property in the volatility of index futures contracts using three conditional volatility models, namely the GARCH, IGARCH and FIGARCH models. We found that the FIGARCH model better captures the long-memory property than do the GARCH and IGARCH models. Additionally, we found that the FIGARCH model provides superior performance in one-day-ahead volatility forecasts. As discussed in this paper, the FIGARCH model should prove a useful technique in forecasting the long-memory volatility in the Australian index futures market.

• Journal of the Korean Society for Aeronautical & Space Sciences
• /
• v.49 no.4
• /
• pp.273-279
• /
• 2021

Winglets are specialized wingtip devices to reduce induced drag, and they have been installed on Boeing-made aircraft since the 1980s, Airbus has also developed a winglet named 'Sharklet' since 2009 and has started providing them as an option to the A320 Family. The winglet has the effect of improving take-off performance, reducing fuel consumption, increasing payload, and increasing flight distance by reducing the induced drag generated at the tip of the wing. The purpose of this study is to analyze the actual flight data of the sharklet-installed and non-sharklet-installed models of the A321 aircraft to verify the fuel efficiency improvement due to the winglet installation, and to analyze the economic analysis accordingly. Through this, it can be used to determine the winglet installation when introducing an aircraft or to make a decision for upgrading the existing aircraft. To this end, a case study on the aerodynamic characteristics and effects of the winglet installation was conducted, and the economic analysis was verified.

• Proceedings of the Korea Contents Association Conference
• /
• 2012.05a
• /
• pp.419-420
• /
• 2012

기술에 대한 선점이 기업 경쟁의 핵심이 되는 현 시점에서 관심 있는 기술의 경제성, 발전 가능성과 같은 기술 가치를 판단하는 것은 매우 중요하다. 따라서 본 연구에서는 현 시점에서 어떤 기술에 진입하는 것이 옳은지에 대한 의사 결정을 지원할 수 있는 모델을 제안하고자 한다. 기술의 진입 여부를 결정하는 것은 현재 시점에서의 기술의 가치를 판단하는 것과 일맥상통하므로, 가장 대표적인 기술 가치 평가 소프트웨어인 미국 NTTC의 TOP INDEX에서 사용한 평가 항목을 기준으로 하여 기술 진입 가능 지수를 개발하였고, 계산된 지수 값에 의해 기술의 진입 여부를 판단하게 된다. 추후 성능 테스트를 통하여 개선 방향을 도출하고 지속적으로 보완할 예정이다.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2008.11a
• /
• pp.699-701
• /
• 2008

최근 들어 경제 운전 및 친환경 운전 즉 에코 드라이빙에 대한 관심과 필요성이 사회적 이슈로 등장하였다. 에코 드라이빙을 위한 요인 중 가장 중요한 요인은 바로 운전자의 운전 성향이다. 본 논문에서는 에코 드라이빙을 위한 운전자의 운전성향분석을 위한 주요 요소들을 도출하고 이를 이용하여 에코 지수(Eco Index)를 산출하는 방법에 대하여 기술한다. 에코지수는 주행중인 차량으로부터 실시간으로 주행 정보를 수집한 후 이를 분석하여 계산되고 차량에 장착된 단말기를 통하여 운전자의 경제운전 및 친환경 운전 성향이 제공되며 서버로 전송되어 운전자의 장기적인 운전 성향 분석에도 사용된다.