• Proceedings of the Korea Information Processing Society Conference
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• 2009.11a
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• pp.965-966
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• 2009

본 논문은 시스템 트레이딩을 사용하여 피라미드 전략이 상승장에서 어떠한 수익률을 보이는가를 분석한다. 옵션 시장에서 매도는 프리미엄의 감소라는 이점과 무제한 손실이라는 단점을 가지고 있다. 옵션의 매도는 증거금 제도로 인하여 개인의 매매 기법으로는 제한되어 있으나 효과적인 전략을 사용하면 수익성을 높이는데 매우 중요한 매매 기법이다. 다중 매도 진입으로 풀이되는 피라미드 전략을 제시하고 최근 상승장에서의 성능을 분석한다.

• Journal of the Korean Data and Information Science Society
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• v.25 no.1
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• pp.107-117
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• 2014

The main purpose of this study is to propose a portfolio investment strategy based on investor types information. For improvement of investment performance, artificial intelligence techniques are used to construct a portfolio. Among many artificial intelligence techniques, cluster analysis is applied to select securities and genetic algorithm is applied to assign the respective weight within the portfolio. Empirical experiments in the Korean stock market show that proposed portfolio investment strategy is practicable and superior strategy. This result implies that analysis of investor's trading behavior may assist investors to make an investment decision and to get superior performance.

• Journal of Korea Multimedia Society
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• v.10 no.12
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• pp.1741-1751
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• 2007

The imprecise computation technique ensures that all time-critical tasks produce their results before their deadlines by trading off the quality of the results for the computation time requirements of the tasks. In the imprecise computation, most scheduling problems of satisfying both 0/1 constraints and timing constraints, while the total error is minimized, are NP-complete when the optional tasks have arbitrary processing times. In the previous studies, the reasonable strategies of scheduling tasks with the 0/1 constraints on uniprocessors and multiprocessors for minimizing the total error are proposed. But, these algorithms are all off-line algorithms. Then, in the on-line scheduling, NORA(No Off-line tasks and on-line tasks Ready upon Arrival) algorithm can find a schedule with the minimum total error. In NORA algorithm, EDF(Earliest Deadline First) strategy is adopted in the scheduling of optional tasks. On the other hand, for the task system with 0/1 constraints, NORA algorithm may not suitable any more for minimizing total error of the imprecise tasks. Therefore, in this paper, an on-line algorithm is proposed to minimize total error for the imprecise real-time task system with 0/1 constraints. This algorithm is suitable for the imprecise on-line system with 0/1 constraints. Next, to evaluate performance of this algorithm, a series of experiments are done. As a consequence of the performance comparison, it has been concluded that IOSMTE(Imprecise On-line Scheduling to Minimize Total Error) algorithm proposed in this paper outperforms LOF(Longest Optional First) strategy and SOF(Shortest Optional First) strategy for the most cases.

• Korea Trade Review
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• v.44 no.1
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• pp.115-127
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• 2019

In recent years, the Indian market has gained worldwide attention in the global trading business environment. Korean companies are also seeking to enter the indian market, and their foreign trade investment strategy is based on the Global Value Chain(GVC). In this study, we examine difference from traditional investment strategy to GVC investment strategy in the age of 4IR(fourth industrial revolution) through using POLS model(pooled least square), FEM(fixed effect model), and REM(randomized effect model). Based on the analysis of 84 monthly data related to the FDI and international trade effects between Korea and India, the following results were found. As Korean companies increased their share of export to the Indian market and export to the Indian market, the number of new companies directly invested in overseas market increased. However, the amount of import into the Indian market was relatively low in relation to the number of new companies directly in overseas markets. As a result of analyzing the investment strategy of the GVC in India, the GVC has shifted from manufacturing to process upgrading to enter the GVC on Smile Curve.

• Management Science and Financial Engineering
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• v.11 no.3
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• pp.1-17
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• 2005

Agent technology has been widely applied in today's electronic business, such as mobile agents, multi-agent information systems, etc. In particular, multi-agent systems have been applied as powerful simulation tools to study complex business networks composed of various self-interested trading firms and/or human beings. In this paper, we build an integrated model that consists of a multi-agent B2C market model and a B2B trade network model, and incorporate more reality than much of prior work. Then with this model, we carry out experimental studies on two different strategies that are common in electronic business - 'loyal' strategy (retailers try to build stable cooperation with suppiers to ensure material supply) and 'cost-saving' strategy (retailers try to reduce cost by choosing suppliers with lower wholesale price).

• Korea Trade Review
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• v.45 no.5
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• pp.223-238
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• 2020

In the environment of protectionism and bilateral trade agreements, Korea has promoted the conclusion of FTAs for its export-oriented trading policy, and 16 FTAs have entered into force at present. The main goal of this paper is to introduce the ISI system and its benefits and to extend the preferential rule of origin regime by using the Integrated Sourcing Initiative in the U.S. Code of Federal Regulations. The ISI illustrates with impressive clarity the fact that it considered as a tool of expanding the geographic limit of states and maximizing the global sourcing strategy of multinational corporations, allowing the developing countries to gain access to the market of developed ones that avoid the complexity and costs of many rules of origin regimes. This paper utilizes the literature research and analyzes a case study of FTAs which have adopted the ISI system. In conclusion, it presents several implications of additional measures to satisfy rules of origin in Korea's existing FTAs relating to the global supply chain strategy.

• Journal of Digital Convergence
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• v.15 no.4
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• pp.35-42
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• 2017

Information strategy planning(ISP) is an analysis of the organization's work, information flow, and current information systems, and planning information structures to achieve organizational strategies and objectives. In addition to the systematic promotion of the information sector in the public sector, the government is required to establish an information strategy plan in order to enhance the efficiency of the information sector. However, there are many cases in which the IT project budget is reflected without establishing the information strategy planning. The purpose of this study is to clarify the criteria for establishing the information strategy planning in order to enhance the effectiveness of the information strategy planning. For this purpose, we set up a judgment model for Information strategy planning through expert group review (FGI) and conducted questionnaires on public sector experts. In addition, we proposed a project to establish an information strategy planning and an exceptional project based on the size of iinformatization project and characteristics of informatization project.

• Journal of the Korean Data and Information Science Society
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• v.22 no.1
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• pp.37-47
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• 2011

Stock price index option market has various investment strategies that have been developed. Specially, arbitrage strategies are very important to be efficient in option market. The purpose of this study is to improve profit using rough set and Box spread by using past option trading data. Option trading data was based on an actual stock exchange market tick data ranging from 2001 to 2006. Validation process was carried out by transferring the tick data into one-minute intervals. Box spread arbitrage strategies is low risk but low profit. It can be accomplished by back-testing of the existing strategy of the past data and by using rough set, which limit the time line of dealing. This study can make more stable profits with lower risk if control the strategy that can produces a higher profit module compared to that of the same level of risk.

• International Commerce and Information Review
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• v.11 no.1
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• pp.95-116
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• 2009

Korea-Us FTA negotiation started in February 2006 with a view to overcoming those uncertainties in the global market and was finally concluded in April, 2007. The Agreement was officially signed between ministers two month later and it is expected to be ratified this year even though the process is most likely to be painful in both countries by the political resistances. For the new President of the United States, effective leadership will depends largely on how to encourage domestic industries such as Automobile industry and Iron and Steel industry from the financial crisis. Many trading partners of US worry about US foreign trade policy changes to protectionism that might be unequal to bear. Korea textile industry is one of the major industry in Korea as it occupies 15% of total number of manufacturers, 11% of total employment and 5% of national GDP. Korea-US FTA will provide a breakthrough for bouncing back by exploring new market. US agreed to remove all tariff and non-tariff barriers to 87% of textile items under trading. This study shows that Korean textile industry has been losing it's competitiveness as textile quota system abolished in the year 2005 and has been traced by pursuers such as China, India and Vietnam. In case of woven fabric which was a representing export item of Korea lost price competitiveness against China after 2005. This study seeks the strategy of Korea textile industry in the US market by utilizing the capacity of KOTRA offices in US. All possible statistical data obtained in the US were used for analysing the competitiveness. Fabrics and Garments are analysed independently with a view to finding out real trends of textile market in US. This study also suggest Korea's textile industry strategic ideas obtained from the potential buyers to show the way to penetrate into US market.

• Journal of the Korean Data and Information Science Society
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• v.28 no.4
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• pp.819-829
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• 2017

The aim of this study is to analyze intraday price momentum. When price trends are formed, price momentum is the phenomenon that future prices tend to follow the trend. When the market opened and closed, a U-shaped trading volume pattern in which the trading volume was concentrated was observed. In this paper, we defined price momentum as the 10 minute trend after market opening is maintained until the end of market. The strategy is to determine buying and selling in accordance with the price change in the initial 10 minutes and liquidating at closing price. In this study, the strategy was empirically analyzed by using minute data, and it showed effectiveness, indicating the presence of an intraday price momentum. A pattern in which returns are increasing at an early stage is called a J-shaped pattern. If the J-shaped pattern occurs, we have found that the price momentum phenomenon tends to be stronger than otherwise. The DTW algorithm, which is well known in the field of pattern recognition, was used for J-shaped pattern recognition and the algorithm was effective in predicting intraday price movements. This study showed that intraday price momentum exists in the KOSPI200 futures market.