• Journal of Korea Trade
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• 제27권5호
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• pp.167-198
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• 2023

Purpose - This paper aims to compare and analyze the co-movements and information spillover effects between the international commodity futures markets and the South Korean stock markets during the COVID-19 and the 2008 financial crises. Design/methodology - The DCC-GARCH model is used in the co-movements analysis. In contrast, the BEKK-GARCH model is used to evaluate information spillover effects. The statistical data used is from January 1, 2005, to December 31, 2022. It comprises the Korea Composite Stock Price Index data and daily international commodity futures prices of natural gas, West Texas Intermediate crude oil, gold, silver, copper, nickel, soybean, and wheat. Findings - The results of the co-movement analysis were as follows: First, it was shown that the co-movements between the international commodity futures markets and the South Korean stock markets were temporarily strengthened when the COVID-19 and 2008 financial crises occurred. Second, the South Korean stock markets were shown to have high correlations with the copper, nickel, and crude oil futures markets. The results of the information spillover effects analysis are as follows: First, before the 2008 financial crisis, four commodity futures markets (natural gas, gold, copper, and wheat) were shown to be in two-way leading relationships with the South Korean stock markets. In contrast, seven commodity futures markets, except for the natural gas futures market, were shown to be in two-way leading relationships with the South Korean stock markets after the financial crisis. Second, before the COVID-19 crisis, most international commodity futures markets, excluding natural gas and crude oil future markets, were shown to have led the South Korean stock markets in one direction. Third, it was revealed that after the COVID-19 crisis, the connections between the South Korean stock markets and the international commodity futures markets, except for natural gas, crude oil, and gold, were completely severed. Originality/value - Useful information for portfolio strategy establishment can be provided to investors through the results of this study. In addition, it is judged that financial policy authorities can utilize the results as data for efficient regulation of the financial market and policy establishment.

• 패션비즈니스
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• 제15권6호
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• pp.176-203
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• 2011

In today's intensifying global competition, Korean fashion industry is relying on only qualitative data for feasibility study of future projects and developmental plan. This study was conducted in order to support establishment of a scientific and rational management system that reflects market demand. First, fashion market size was limited to the total amount of expenditure for fashion clothing products directly purchased by Koreans for wear during 6 months in spring and summer and 6 months in autumn and winter. Fashion market forecasting model was developed using statistical forecasting method proposed by previous research. Specifically, time series model was selected, which is a verified statistical forecasting method that can predict future demand when data from the past is available. The time series for empirical analysis was fashion market sizes for 8 segmented markets at 22 time points, obtained twice each year by the author from 1998 to 2008. Targets of the demand forecasting model were 21 research models: total of 7 markets (excluding outerwear market which is sensitive to seasonal index), including 6 segmented markets (men's formal wear, women's formal wear, casual wear, sportswear, underwear, and children's wear) and the total market, and these markets were divided in time into the first half, the second half, and the whole year. To develop demand forecasting model, time series of the 21 research targets were used to develop univariate time series models using 9 types of exponential smoothing methods. The forecasting models predicted the demands in most fashion markets to grow, but demand for women's formal wear market was forecasted to decrease. Decrease in demand for women's formal wear market has been pronounced since 2002 when casualization of fashion market intensified, and this trend was analyzed to continue affecting the demand in the future.

• 패션비즈니스
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• 제7권3호
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• pp.45-53
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• 2003

In the face of trade opportunity of Chinese reformation and opening and the future largest single market, global or multinational companies and Korean, Japanese, Chinese, Hong Kong's and Taiwan's companies will go all out to catch hold of one quotient. One trading war is about to start for funds, elitists, technique, and management in China now. It might be difficult to get profits in Chinese markets. However, risks can bring challenges, and competition can make progress. It's time to prepare for the challenges in the golden opportunity laid in front of us all.

• 유통과학연구
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• 제12권10호
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• pp.5-9
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• 2014

Purpose - This paper aims to critically examine capital market developments in India before and after liberalization. Research design, data, and methodology - The paper examines the Indian capital market from its inception to the latest developments related to both primary and secondary markets, and also discusses recent initiatives of capital markets to enhance the expected level of services to the investor community. It also sheds light on the regulatory framework for investor protection. Results - The study further highlights the future roadmap for the radical development of the Indian capital market. The paper identifies the various initial obstacles and intricacies that affect the smooth functioning of the Indian capital markets. Hence, the paper articulates that these concerns should be addressed by the regulatory authorities and at the policy level at the earliest for further strengthening the capital markets in the interests of the economy in general and retail investors in particular. Conclusion - This is a topic of utmost contemporary importance to worldwide national economies, and calls for novel methods and techniques in dealing effectively with the menace facing capital markets.

• 유통과학연구
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• 제11권10호
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• pp.93-105
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• 2013

Purpose - This empirical analysis determines the structured causal relations between perceived value, customer satisfaction, and repurchase intention among users of traditional markets. The results of this analysis would help merchants and market operators indevisingan appropriate strategy to successfully manage traditional markets. Research design, data, methodology - The perceived value model of traditional markets includes functional value (price), functional value (quality), emotional value, and social value. In this study, the perceived value of traditional markets is considered as an independent variable, while customer satisfaction and repurchase intention are shown as the dependent variables, where customer satisfaction is also considered as the mediating variable. The study aims to ascertain the extent of influence of the perceived value of traditional markets on customer satisfaction and repurchase intention. We use regression analysis to verify the effects. The measurement items were already deemed as reliable and valid in the previous study, but for this purpose, we made some modifications. We distributed questionnaires to 300 consumers on a national scale, and finally used 241 consumer responses among these as a sample. We analyzed the data using the SPSS 21.0 statistical program. Results - We obtained the following results. First, the order of perceived value dimensions of traditional markets that positively impact customer satisfaction is functional value (price), social value, emotional value, and functional value (quality). Second, the perceived value sometimes directly affects repurchase intention; its effect is typically strong with customer satisfaction as a parameter. The order of perceived value dimensions that positively impact repurchase intention is social value, functional value (price), emotional value, and functional value (quality). Third, the perceived value significantly influences repurchase intention, with customer satisfaction as the mediating variable. Conclusions - We should recognize the importance of perceived value in retail distribution markets, such as traditional markets. Moreover, we need to develop strategies to improve the perceived value. The practical implications of the study are as follows. First, with regards to functional value (quality; price) dimensions, we should have an appropriate assortment of high quality products that are reasonably priced. In addition, customers are satisfied with the friendly service, discounts, and other benefits provided by the merchants. Second, in terms of emotional value dimension, we need to develop differentiated events that provide fun and emotional experience to the customers. Third, in the context of social values dimension, we should strive to positively influence society to enhance social image through activities such as social services and contribution to community development. On the basis of these results, we present the implications, limitations, and future directions for the research. One of the policy implications of the study is that merchants of traditional markets must actively select customers and develop customer value. However, this study is limited in the fact that the population used for data collection is not fully representative, as the survey only covered some specific areas. Moreover, future studies could also benefit with additional research using moderating variables.

• KIEE International Transactions on Power Engineering
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• 제3A권1호
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• pp.35-41
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• 2003

To ensure resource adequacy in restructured electricity markets, policymakers have adopted installed capacity (ICAP) markets in some regions of the United States. These markets ensure that adequate generation exists to satisfy regional Loss of Load Probability(LOLP) criterion. Since the incentives created through ICAP mechanisms directly impact new generation and transmission investment decisions we examine one important factor that links ICAP markets with LOLP calculations;, determining the amount of ICAP credit assigned to particular generation units. First, we review and critique the literature on electric power systems' market failure resulting from demand exceeding supply. We then summarize the method of computing (the LOLP) as a means of assessing reliability and relate this method to ICAP markets. We find that only the expected value of available generation is used In current ICAP markets while ignoring the second and higher order moments, which tends to mis-state the ICAP value of a specific resource. We then consider a proposal whose purpose is to avoid this ICAP assignment issue by switching from ICAP obligations to options. We find that such a proposal may fail to not provide the benefits claimed and suffers from several practical difficulties. Finally, we conclude with some policy recommendations and areas for future research.

• Agribusiness and Information Management
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• 제12권2호
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• pp.40-54
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• 2021

Market integration and prices in pulse crops like black gram play an important role in determining the production decisions of the farmers and diversification towards high value nutritious crops. In this context, the present study explores extent of market integration and price transmission in selected major black gram markets in Andhra Pradesh using Johansen co-integration, Vector Error Correction Model and Granger causality test. The study used monthly prices data of black gram (Rs/quintal) sourced from selected markets of Srikakulam, Krishna and Kurnool spanning January, 1990 to December, 2019. The results of the study strongly buttressed the existence of co-integration and interdependence of selected black gram markets in Andhra Pradesh. However, the speed of adjustment of the prices found to be moderate in Krishna market and quite weaker in Srikakulam market and thereby prices correct a small percentage of the disequilibrium in these markets with the greatest percentage by the external and internal forces. So, it necessitates the need for future research, to investigate the influence of external and internal factors such as market infrastructure, Government policy and self-sufficient production, product characteristics and utilization towards market integration. As there exists only unidirectional causality from Krishna to Kurnool and from Krishna to Srikakulam markets, it calls for strengthening the information technology for flow of market information regularly to help the farmers for increasing their income.

• Agribusiness and Information Management
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• 제3권2호
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• pp.1-8
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• 2011

The main goal of this study is to show promising future food market of Northeast Asia countries, including China, Japan, and South Korea. Drinks market, including soft and alcoholic drinks is selected to show global food companies new opportunities for next strategic movements. Market Attractiveness Matrix is developed based on BCG matrix as a main framework for this study. CDI (Category Development Index) is also used. It is found that Asia-pacific has fast-growing markets and it has strong potential for future investment. Northeast Asia countries (China, Japan, and South Korea) turned out to be ones of the most attractive regional markets. However, European drinks market is saturated even though its size is still big. This study suggests that Northeast Asian market be considered a market for the next strategic movement and investment.

• 경영과정보연구
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• 제29권4호
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• pp.67-88
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• 2010

본 연구의 목적은 인터넷 오픈마켓에서 제공하는 각종 정보에 대한 만족도가 고객 신뢰 및 미래행동 의도에 미치는 영향관계를 살펴보는 것이다. 이러한 연구목적을 달성하기 위하여 관련 선행문헌에 관한 종합적 고찰결과를 토대로 오픈마켓의 중요한 정보 만족도 요인으로 판매자 정보 만족도, 상품 정보 만족도, 거래절차 정보 만족도 등의 세 가지 요인을 도출하였고, 이들 오픈마켓의 정보 만족도 요인들이 고객 신뢰를 거쳐 재구매의도 및 호의적 구전의도와 같은 미래행동 의도를 형성하게 되는 구조적 관계에 관한 연구모델과 가설을 수립하였다. 본 연구의 실증분석 결과를 요약해 보면 다음과 같다. 첫째, 오픈마켓에서 제공하는 판매자 정보, 상품 정보, 거래절차 정보 등 세 가지 정보 만족도 요인 모두가 고객 신뢰에 긍정적인 영향을 미치는 것으로 밝혀졌다. 둘째, 오픈마켓에 대한 고객 신뢰는 재구매의도에는 긍정적인 영향을 미치는 반면 호의적 구전의도에는 별다른 영향을 미치지 못하는 것으로 밝혀졌다. 가설검정 결과를 토대로 논의를 수행하였으며, 오픈마켓 운영자 및 입점 판매자의 고객 신뢰 확보 및 성과 향상 방안을 제안하였고, 관련 분야 연구자들의 추가적 연구 수행을 위한 유의미한 시사점을 제공하였다.

• 유통과학연구
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• 제14권12호
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• pp.119-127
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• 2016

Purpose - This study has been conducted based on the assumption that technology acceptance for the traditional markets introduce Augmented Reality Technology system into traditional markets in order to increase the influence on consumer purchasing intention. The Augmented Reality Technology system on this study has been carried out by a modeling study based on Davis(1989)'s Technology Acceptance Model (TAM). Research design, data, and methodology - Before starting the research, we inquired previous researches and defined the basic concept for each research with applying some parts of them. By doing this, we were able to find out if the users had perceived ease of use and the feeling of usefulness for the technology acceptance in using traditional markets. As a result, we measured how efficiently those factors could have an influence on traditional market visit. Moreover, we analyzed the result with actual proofs, assuming that such a visiting intention would affect consumers purchasing intention Results - To summarize the results, first, we have found that the necessity for augmented reality technology for traditional markets and its convenience in use can have a positive effect on visiting traditional markets. Second, we have discovered that the feeling of easiness in use, technological usefulness, and its visiting intention for Augmented Reality Technology can positively influence on the users' purchasing intention. Conclusions - By taking advantage of the research results from this study, the technological acceptance for the traditional markets suggests not only a positive impact on the users' visiting traditional markets but also an influence on the users' purchasing intention for the goods that are sold in the traditional markets. The weak point of this study is that it did not have sufficient theoretical explanation for technological acceptance in traditional markets, and it also lacked theoretical research to apply Augmented Reality Technology to the distribution industry. In order to overcome these drawbacks, we have to conduct thoughtful empirical analysis and research. Lastly, we insist that we will have to carefully verify reliability for the questionnaire data collected by the Internet survey panels in the future.