• Asia pacific journal of information systems
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• 제10권2호
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• pp.125-147
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• 2000

The objective of this paper is to propose additional features for the success of the Internet-based stock trading companies in Korea which attempt to improve competitiveness in the stock trading market. Literature about this issue has been rarely reported. To clarify our research intention, therefore, we surveyed 24 stock trading companies which support the Internet-based stock trading systems, and gathered data about appropriate Internet business model which is deemed promising and effective in the future. Analysis results revealed that besides cheap trading transaction cost, those additional features such as convenience, reliability, speed delay, superiority, and profitability are also important as well for the success of the Internet-based stock trading.

• The Journal of Asian Finance, Economics and Business
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• 제7권12호
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• pp.605-613
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• 2020

In unfrictionless markets, one measure of asset pricing is its height of friction. This study develops a three-factor model by loosening the assumptions about stocks without friction, without risk, and perfectly liquid. Friction is used as an indicator of transaction costs to be included in the model as a variable that will reduce individual profits. This approach is used to estimate return, beta and other variable for firms listed on the Indonesian Stock Exchange (IDX). To test the efficacy of friction-adjusted three-factor model, we use intraday data from July 2016 to October 2018. The sample includes all listed firms; intraday data chosen purposively from regular market are sorted by capitalization, which represents each tick size from the biggest to smallest. We run 3,065,835 intraday data of asking price, bid price, and trading price to get proportional quoted half-spread and proportional effective half-spread. We find evidence of adjusted friction on the three-factor model. High/low trading friction will cause a significant/insignificant return difference before and after adjustment. The difference in average beta that reflects market risk is able to explain the existence of trading friction, while the difference between SMB and HML in all observation periods cannot explain returns and the existence of trading friction.

• The Journal of Asian Finance, Economics and Business
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• 제7권4호
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• pp.59-70
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• 2020

The purpose of this study is to construct the ACD model for the block trading volume duration. The ACD model based on the block trading volume duration is referred to as Volume ACD (VACD) in this study. By integrating with GARCH-type models, the VACD based GARCH type models, which include VACD-GARCH, VACD-IGARCH and VACD-FIGARCH models, are set up. This study selects Chunghwa Telecom (CHT) Inc., offering the America Depository Receipt (ADR) in NYSE, to investigate the block trading volume duration in Taiwanese equity market. The empirical results indicate that the long memory in volume duration series increases dependence at level of volatility clustering by VACD (2,1)-FIGARCH (3,d,1) model. Moreover, the VACD (2,1)-IGARCH (1,1) exhibits relatively better performance of prediction on capturing block trading volume duration. This volatility model is more appropriate in this study to portray the change of the CHT Inc. prices and provides more information about the volatility process for investment strategy, which can be a reference indicator of financial asset pricing, hedging strategy and risk management.

• 전자통신동향분석
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• 제35권6호
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• pp.97-106
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• 2020

This article explains domestic and overseas technology trends as well as an energy trading architecture model that can safely execute energy power trading through blockchain in the community. There is a way to trade energy between homes as well as between homes and the public in the community, but there are currently no institutions that make this possible. However, our aim is to approach these power trading methods collectively through global technology related to blockchain. We try to solve the problems of energy trading using the blockchain technique. We discuss domestic and overseas technology trends in power trading using blockchain and introduce the power trading architecture for the community proposed by ETRI. We propose a framework that supports reliability and interoperability based on blockchain and develop scalable technology capable of supporting not only small-scale electricity trading but also medium-scale power trading.

• Journal of Information Technology Applications and Management
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• 제21권4호
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• pp.97-125
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• 2014

This study investigates the relationship between stock index and its associated nearby futures markets based on the cost-of-carry model. The purpose of this study is to explore the existence of mispriced futures contracts, and to test whether traders can earn trading profits in real financial market using the information about the mispriced futures contracts. This study suggests the concordance correlation coefficient to investigate the existence of mispriced futures contracts. The concordance correlation coefficient gives a desirable result for trading profits that results from a comparative analysis among profits from trading at the time to indicate trading opportunities determined by the degree of the difference between the observed market price and the theoretical price of a futures contract. In addition, this study also explains that the concordance correlation coefficient developed from the mean square error (MSE) has a statistically theoretical meaning. In conclusion, this study shows that the concordance correlation coefficient is appropriate for analyzing the relationship between the observed stock index futures market price and the theoretical stock index futures price derived from the cost-of-carry model.

• 산업경영시스템학회지
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• 제46권4호
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• pp.152-159
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• 2023

This study endeavors to enrich investment prospects in cryptocurrency by establishing a rationale for investment decisions. The primary objective involves evaluating the predictability of four prominent cryptocurrencies - Bitcoin, Ethereum, Litecoin, and EOS - and scrutinizing the efficacy of trading strategies developed based on the prediction model. To identify the most effective prediction model for each cryptocurrency annually, we employed three methodologies - AutoRegressive Integrated Moving Average (ARIMA), Long Short-Term Memory (LSTM), and Prophet - representing traditional statistics and artificial intelligence. These methods were applied across diverse periods and time intervals. The result suggested that Prophet trained on the previous 28 days' price history at 15-minute intervals generally yielded the highest performance. The results were validated through a random selection of 100 days (20 target dates per year) spanning from January 1st, 2018, to December 31st, 2022. The trading strategies were formulated based on the optimal-performing prediction model, grounded in the simple principle of assigning greater weight to more predictable assets. When the forecasting model indicates an upward trend, it is recommended to acquire the cryptocurrency with the investment amount determined by its performance. Experimental results consistently demonstrated that the proposed trading strategy yields higher returns compared to an equal portfolio employing a buy-and-hold strategy. The cryptocurrency trading model introduced in this paper carries two significant implications. Firstly, it facilitates the evolution of cryptocurrencies from speculative assets to investment instruments. Secondly, it plays a crucial role in advancing deep learning-based investment strategies by providing sound evidence for portfolio allocation. This addresses the black box issue, a notable weakness in deep learning, offering increased transparency to the model.

• 한국경영정보학회:학술대회논문집
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• 한국경영정보학회 2007년도 International Conference
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• pp.661-666
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• 2007

MMORPG, massively multi-players in online role-playing game, is the most popular genre in online games. Because large number of players interacts with each other, virtual worlds in MMORPG are alike communities of real worlds. Moreover, players in virtual worlds trade game items with real money. This paper is to find impacts of real-money trading into real worlds, and game operators, by using two-period model between players of the game and the game operator. It was found that real-money trading benefits game operators, and there exists optimal supply of game items to maximize the profit of game operator. Moreover we found that the income disparity in real worlds could be decreased when real-money trading is allowed To support the analytical model, we used an empirical analysis using real-money trading data, and find the relationship among play time of MMORPG, transaction volume of real-money trading, and price of game items. In empirical analysis, it was found that real-money trading benefits game operators. Moreover, it was found that play time and price have positive relationship.

• 자원ㆍ환경경제연구
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• 제12권2호
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• pp.245-274
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• 2003

본 연구는 한국에서 온실가스 감축을 위해 온실가스 배출권거래제 또는 탄소세, 그리고 두 정책수단이 혼합하여 도입될 경우 한국의 경제, 에너지소비, 그리고 온실가스 배출량에 미치는 파급효과를 분석하였다. 연산일반균형모형인 KORTEM을 이용한 다양한 시나리오 분석 결과, 탄소세만 부과하는 경우에는 배출권거래제만을 도입하는 경우보다 온실가스 감축의 경제적 비용이 상대적으로 높을 것으로 예측되었다. 따라서 한국은 온실가스 감축을 위한 정책포트폴리오를 설계함에 있어, 국내배출권거래제를 핵심정책으로 도입하며 가능한 많은 기업 및 경제주체들을 배출권거래에 참여시키고, 거래에 참여하지 않는 경제부문의 특성을 반영한 보완적 정책수단을 도입하는 방향으로 정책포트폴리오가 설계되어야 한다.

• 아태비즈니스연구
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• 제13권3호
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• pp.209-225
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• 2022

Purpose - The domestic technology trading market is composed of a technology trading platform with the participation of technology trading institutions. The institution that operates the technology trading platform provides various support for technology transaction. The purpose of this study is to suggest improvement plans through analysis of the services provided by the technology trading platform. Design/methodology/approach - TA model was built based on existing research and the importance and satisfaction of each evaluation item of the model were identified through the hierarchical analysis process and expert opinion gathering. Then importance-satisfaction correlation analysis was applied. Findings - As a result of analyzing the importance of the technology trading platform, supply technology information, technology value evaluation, and demand technology information are in order. Technology marketing and demand technology information are areas that require focus management and there are differences according to experience and low-skilled people suggest the need to improve technology value evaluation service. Research implications or Originality - This study is significant in that it evaluated the operational performance of a technology trading platform that had not been addressed for 15 years and suggested improvement measures. Initially a series of technology transaction processes such as technology value evaluation technology matching and technology commercialization support were expanded from simple information on previous technology and this study includes these changes.

• 한국항만경제학회지
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• 제23권1호
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• pp.1-18
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• 2007

본 연구에서는 환율의 컨테이너 물동량에 대한 영향의 비중을 고려하여 외환위기 이후 환율변동성이 커짐에 따라 컨테이너 물동량도 상당히 영향을 받은 것으로 예상되기 때문에 환율변동성의 컨테이너 물동량에 대한 장 단기적 영향을 체계적으로 분석하고 시사점을 도출하고자 한다. 환율변동성을 도출하기 위하여 GARCH 모형을 이용하여 우리나라의 환율 변동성 모형을 분석한다. 물론 구축된 모형을 분석하기 이전에 설정된 변수들과 모형의 안정성 검정을 위하여 단위근 검정과 공적분 검정을 실시한다. 또한 환율의 변동성이 컨테이너 물동량에 미치는 동태적 영향을 보기 위해 오차수정모형과 충격반응 및 분산분해를 실시하고 마지막으로 결론과 시사점을 도출한다. 분석결과 환율변동성을 포함시킨 컨테이너물동량함수를 회귀 분석한 결과 추정계수가 모두 이론적 예상과 부호가 일치하고 통계적 유의성도 높은 것으로 나타났다. 환율변동성은 우리나라의 컨테이너 물동량에 부(-)의 영향을 미치는 것으로 나타났다. 환율변동에 의한 불확실성이 예상됨으로써 위험기피에 의하여 무역과 생산이 감소하고 이에 따라 컨테이너 물동량도 영향을 받은 것으로 판단된다. 오차수정모형에 근거한 인과관계 검정에서 단기와 장기 모두 환율변동성에서 컨테이너 물동량간의 일방적 인과관계가 존재하였다. 또한 충격반응함수에서 나타난 바와 같이 환율변동성 충격에 대하여 컨테이너 물동량은 부(-)의 영향을 받으며 그러한 부의 효과는 비교적 짧은 기간 내에 안정적인 추세로 수렴된다. 예측오차의 분산분해의 결과는 환율변동성과 실질환율이 컨테이너 물동량의 분산에 상당한 영향을 미치고 있음을 알 수 있다.