• Journal of KIISE:Computing Practices and Letters
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• v.9 no.5
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• pp.498-508
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• 2003

In the field of finance, Trading System of Securities is a very vulnerable application when it faces any small problems just for one minute. Since Trading System changes its environment from mainframes to client/server, its safety becomes the most important factor. Even though most If systems are configured by general guidelines currently, Trading System is an exception that it is configured by specific and rather ad hoc guidelines in order to ensure its safe management. In this thesis, I will prove the validity of specific and ad hoc configuration in the environment of Trading Systems where I use both XA interface system and Non-XA interface to configure its system based on 3-Tier Client/server computing environment through middleware, TP-Monitor, in the X/Open DTP Model. In order to validate the Trading System, I will compare and analyze the error of data of an order and ability to restore using both XA and Non-XA interfaces while testing take-over scenario on the assumption of the system's failure.

• Environmental and Resource Economics Review
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• v.22 no.1
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• pp.53-76
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• 2013

This paper analyzed on the relationship between R&D productivity of renewable energy and the Emissions Trading Scheme using OECD's country-specific patents and R & D input data. We empirically tested whether this R & D productivity has been substantially improved before and after the implementation of the emissions trading scheme and whether emission trading scheme has been promoted technology progress of renewable energy. Analytical methods used in this study, Negative Binomial Models which was proposed by Hausman et al. (1984). According to the results of this analysis, the R & D productivity of renewable energy was improved by emissions trading scheme, which was statistically significant at the 99% confidence interval [CI]. The R&D productivity of renewable energy was higher in Annex I countries. This research is significant in that R&D productivity was analyzed in associated with the emission trading scheme rather than it was analyzed by simply comparing R&D productivity.

• Journal of Energy Engineering
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• v.28 no.4
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• pp.76-81
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• 2019

This paper is a review of the certification system required for various energy prosumer business models, including P2P energy trading and participation in small demand response programs, which are based on reliable production and consumption certification. One of the most important parameter in energy trading is ensuring the reliability of trading account balancing. Therefore, we studied to use big data pattern analysis based blockchain smart contract between trading partners to make its tradings are more reliable. For this purpose big data analysis system collected from the IoT AMI and a production authentication system using a private blockchain network linked with the AMI is discussed, using the blockchain smart contract are also suggested. Futhermore, energy trading system concept and business models are introduced.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.5 no.6
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• pp.580-587
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• 2004

The purpose of this study is to examine if the trading volume can apply to the short-term forecasting of the futures price change by verificating the casuality between trading volume and futures price in the KOSPI 200 futures market. The outcome of the research is summarized as follows. In the analysis of subordinate periods, based on the yearly time segments, trading volume were found to lead futures price. As for trading volume, it was under comparably greater influence of its self of the past than the return rate of futures. In the analysis of subordinate periods, based on the trend of the futures market, trading volume lead return rate of futures feebly in a bull market. But return rate of futures lead trading volume significantly in a bearish market.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.40 no.3
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• pp.83-91
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• 2017

Climate change has been identified as one with the greatest challenges facing nations, government, business and over future decades. Activities to reduce greenhouse gas emissions by the Kyoto Protocol, the international community has been in progress. Korea also has introduced the Emission trading system to reduce greenhouse emission from the supervision of the government. Greenhouse gases emissions quantity should be internationally recognized. Mutual Recognition Arrangement should be recognized as the same greenhouse gas emission. International recognition of domestic verification body of international mutual recognition is required. Efforts are needed to secure the equivalence between the emission rights through direct cooperation with the relative nation accreditation body. Early entry into the IAF/PAC GHG MLA is essential for demonstrating equivalence between greenhouse gas emissions. Emissions trading will also require connection to the EU ETS, California, USA, and Tokyo, Japan to link Emissions trading. In the case of establishing accreditation standards and accreditation criteria, it will be necessary to distinguish between the domestic Energy Target Management System and the Emission Trading System. Independent greenhouse gases verification bodies should be established to meet the requirements of IAF and PAC. It is necessary to revise the qualification criteria for the verification of the greenhouse gas verification body according to international standards requirements. It is necessary to support the role of accreditation bodies of domestic greenhouse gas verification bodies. It is required to join international organizations of international mutual recognition of international trade and the need for pilot projects to link greenhouse gas emissions. The core link to our emission trading system is called EU-ETS, and we will need to join the IAF/PAC GHG MLA GHG. The International Mutual Recognition Agreement (IAF) is expected to allow international interoperability of GHG emissions verification between EA and the PAC. By signing a PAC GHG MLA, it will need to be prepared to prepare for the pilot project to link the emission trading system.

• The KIPS Transactions:PartB
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• v.11B no.2
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• pp.207-212
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• 2004

This paper presents a reinforcement learning framework for stock trading systems. Trading system parameters are optimized by Q-learning algorithm and neural networks are adopted for value approximation. In this framework, cooperative multiple agents are used to efficiently integrate global trend prediction and local trading strategy for obtaining better trading performance. Agents Communicate With Others Sharing training episodes and learned policies, while keeping the overall scheme of conventional Q-learning. Experimental results on KOSPI 200 show that a trading system based on the proposed framework outperforms the market average and makes appreciable profits. Furthermore, in view of risk management, the system is superior to a system trained by supervised learning.

• The Journal of Information Technology
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• v.6 no.1
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• pp.85-105
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• 2003

The study revealed that the companies are still reluctant to stop using document-based payment methods although they are aware the use of electronic payment system would reduce express and save time. Considering problems that are suggested in the conventional payment method, more companies will introduce and utilize the electronic payment system. Moreover, as the refined electronic payment system is essential in electronic trade, active studies on this field would greatly contribute to the development of electronic payment system. The prevailing settlement of international trade still relies on trading documents while the legal issues are not finalized for electronic bill of lading (B/L) and electronic bill. This research purpose on comparing some e-trading models in character and presenting the obstacles of e-trading activation and the solutions. e-trading models this research has studied are BOLERO, TradeCard, electronic L/C etc. Comparing characteristic points of the e-trading model in this article are as follows; 1)Access ways as a global e-trading model, 2)Structural and Functional characteristic, 3)Role as a global e-trading model, 5)Legal and Application issues in practice, 6)Security issues for Technology. But Further studies on this subject would be needed.

• The Journal of the Korea Contents Association
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• v.19 no.7
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• pp.36-46
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• 2019

If stock market is efficient, any well-devised trading rule can't consistently outperform the average stock market returns. This study aims to verify whether the strategy based on bid-ask volume information can beat the stock market. I suggested a day trading strategy using order imbalance indicator and empirically analyzed its profitability with the KOSPI 200 index futures data from 2001 to 2018. Entry rules are as follows: If BSI is over 50%, enter buy order, otherwise enter sell order, assuming that stock price rises after BSI is over 50% and stock price falls after BSI is less than 50%. The empirical results showed that the suggested trading strategy generated very high trading profit, that is, its annual return runs to minimum 71% per annum even after the transaction costs. The profit was generated consistently during 18 years. This study also improved the suggested trading strategy applying the genetic algorithm, which may help the market practitioners who trade the KOSPI 200 index futures.

• The Journal of Society for e-Business Studies
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• v.26 no.4
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• pp.53-79
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• 2021

With the revitalization of non-face-to-face transactions, the difference between the size of branches and transaction costs among securities firms has decreased, and the importance of the stock trading system has increased. In particular, the mobile trading system has become more important due to the increase in the proportion of transactions in the mobile trading system, which is widely used by individual investors, and the increase in the number of individual investors after COVID-19. However, user-centered usability studies are insufficient as usability studies on mobile trading systems are conducted through literature surveys or survey methods. Therefore, in this study, a repertory grid technique that finds user's empirical perception was used to find out user-centered usability attributes. The usability attributes of the mobile trading system from the user's point of view were elicited, and the difference in the usability attributes in terms of frequency and importance between the user group and the developer group was identified.

• Journal of Intelligence and Information Systems
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• v.24 no.1
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• pp.25-52
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• 2018

This study performs social network analysis based on consumer sentiment related to a location in Seoul using data reflecting consumers' web search activities and emotional evaluations associated with commerce. The study focuses on large commercial districts in Seoul. In addition, to consider their various aspects, social network indexes were combined with the trading area's public data to verify factors affecting the area's sales. According to R square's change, We can see that the model has a little high R square value even though it includes only the district's public data represented by static data. However, the present study confirmed that the R square of the model combined with the network index derived from the social network analysis was even improved much more. A regression analysis of the trading area's public data showed that the five factors of 'number of market district,' 'residential area per person,' 'satisfaction of residential environment,' 'rate of change of trade,' and 'survival rate over 3 years' among twenty two variables. The study confirmed a significant influence on the sales of the trading area. According to the results, 'residential area per person' has the highest standardized beta value. Therefore, 'residential area per person' has the strongest influence on commercial sales. In addition, 'residential area per person,' 'number of market district,' and 'survival rate over 3 years' were found to have positive effects on the sales of all trading area. Thus, as the number of market districts in the trading area increases, residential area per person increases, and as the survival rate over 3 years of each store in the trading area increases, sales increase. On the other hand, 'satisfaction of residential environment' and 'rate of change of trade' were found to have a negative effect on sales. In the case of 'satisfaction of residential environment,' sales increase when the satisfaction level is low. Therefore, as consumer dissatisfaction with the residential environment increases, sales increase. The 'rate of change of trade' shows that sales increase with the decreasing acceleration of transaction frequency. According to the social network analysis, of the 25 regional trading areas in Seoul, Yangcheon-gu has the highest degree of connection. In other words, it has common sentiments with many other trading areas. On the other hand, Nowon-gu and Jungrang-gu have the lowest degree of connection. In other words, they have relatively distinct sentiments from other trading areas. The social network indexes used in the combination model are 'density of ego network,' 'degree centrality,' 'closeness centrality,' 'betweenness centrality,' and 'eigenvector centrality.' The combined model analysis confirmed that the degree centrality and eigenvector centrality of the social network index have a significant influence on sales and the highest influence in the model. 'Degree centrality' has a negative effect on the sales of the districts. This implies that sales decrease when holding various sentiments of other trading area, which conflicts with general social myths. However, this result can be interpreted to mean that if a trading area has low 'degree centrality,' it delivers unique and special sentiments to consumers. The findings of this study can also be interpreted to mean that sales can be increased if the trading area increases consumer recognition by forming a unique sentiment and city atmosphere that distinguish it from other trading areas. On the other hand, 'eigenvector centrality' has the greatest effect on sales in the combined model. In addition, the results confirmed a positive effect on sales. This finding shows that sales increase when a trading area is connected to others with stronger centrality than when it has common sentiments with others. This study can be used as an empirical basis for establishing and implementing a city and trading area strategy plan considering consumers' desired sentiments. In addition, we expect to provide entrepreneurs and potential entrepreneurs entering the trading area with sentiments possessed by those in the trading area and directions into the trading area considering the district-sentiment structure.