• Journal of the Korea Institute of Information Security & Cryptology
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• v.23 no.1
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• pp.19-32
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• 2013

As cyber stock trading grows rapidly, stock trading using Home Trading System have been brisk recently. Home Trading System is a heavy-weight in the stock market, and the system has shown 75% and 40% market shares for KOSPI and KOSDAQ, respectively. However, since Home Trading System focuses on the convenience and the availability, it has some security problems. In this paper, we found that the authentication information in memory remains during the stock trading and we proposed its countermeasure through two-channel authentication using a mobile device such as a cell phone.

• Journal of Korea Society of Digital Industry and Information Management
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• v.9 no.3
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• pp.211-221
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• 2013

This study investigated the effect of service quality and using experience on a royalty in a electronic commerce. Expecially, used HTS (Home Trading System of securities companies)as a online service system. HTS (Home Trading System) is a electronic commerce system of securities companies that is a most progressive tool of it. Almost securities companies are offering these typical trading system, because it is a required factor for a competitive position in their compound market. This paper made hypotheses of five cases, and collected some data through survey questionnaire for an analysis of actual proof. For attaining the object of this research, used a structure equation modeling, and found that almost paths of the research model are supported among the service quality, using experience, involvement and royalty. This study could provide academic and managerial implications in a electronic commerce business.

• The Journal of Information Systems
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• v.23 no.1
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• pp.29-52
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• 2014

As the advance of multi-platform and multi-channel online services, brokerages are now offering three representative online trading systems - HTS(Home Trading Systems), WTS(Web Trading Systems), MTS(Mobile Trading Systems). In this study we investigated and compared the impact of different systems on the performance of brokerages. Using the panel data of 29 brokerages of 4 periods, we empirically tested the impact of online trading systems and the commissions of trading services. We found out that there exist some differences between the impacts of online trading systems based on the platforms. HTS was identified as the main platform for online trading services. However the role of MTS was also significantly identified while WTS showed no significant impact on the brokerage performances. Commission also showed significant negative impact in case of HTS and MTS platforms. Finally, offering MTS was identified as the significant dummy variable influencing the performance of brokerages. The results provides some implication for the multi-platform strategy for online services.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.16 no.3
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• pp.155-161
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• 2016

In current algorithm trading system, general users need to program their algorithms using programing language and APIs provided from financial companies. Therefore, such environment keeps general personal investors away from using algorithm trading. Therefore, this paper focuses on developing user-friendly algorithm trading system which enables general investors to make their own trading algorithms without knowledge on program language and APIs. In the system, investors input their investment criteria through user interface and this automatically creates their own trading algorithms. The proposed system is composed with two parts: server intercommunicating with financial company server to send and to receive financial informations for trading, and client including user convenience-based user interface representing secondary indexes and strategies, and a part generating algorithm. The proposed system performance is proven through simulated-investment in which user sets up his investment strategy, algorithm is generated, and trading is performed based on the algorithm

• Journal of Information Technology Services
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• v.12 no.2
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• pp.301-319
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• 2013

Wireless and mobile communication technologies enable individuals who trade stocks and bonds to use mobile-based trading services. Due to rapidly developing mobile technologies and adoption of the advanced/smart mobile devices such as smart phones and tablets, the use of mobile trading systems (MTS) have increased at an unexpected rate. Although many prior studies measured service quality on various service-related fields, there are few studies that is related to mobile trading systems compared to more traditional PC-based home trading systems. This research searches determinants of service quality for mobile trading systems and examines the effects of these factors on the intention to mobile trading systems' continuous use. Through an extensive literature review, this research finds three dimensions for mobile trading systems : interaction quality, service environment quality, and service outcome quality. The result of analysis shows that personalization, connectivity, ease of use, informativeness, and monetary value enhance the intention to continuous use. Considering environmental conditions such as the high rate of MTS adoption among individual users and stiffer competition among securities firms, these findings may help practically securities firms' shaping MTS system development strategies for individual users' continuous use and for increasing new users adoption.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.18 no.1
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• pp.115-137
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• 2008

As stock market gets bigger, use of HTS(Home Trading System) is getting increased in stock exchange. HTS provides lots of functions such as inquiry about stock quotations, investment counsel and so on. Thus, despite the fact that the functions fur convenience and usefulness are developed and used, security functions for privacy and trade safety are insufficient. In this paper, we analyze the security system of HTS service through the key-logging and sniffing and suggest that many private information is unintentionally exposed. We also find out a vulnerable point of the system, and show the advisable criteria of secure HTS.

• Journal of the Korea Society of Computer and Information
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• v.17 no.7
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• pp.175-184
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• 2012

The purpose of this study is to investigate the home trading system (HTS) of the security companies in order to examine the critical factors of HTS service quality and the effect of these factors on HTS customer satisfaction and loyalty. The results show : (1) the quality factors of HTS are assurance, reliability, tangible, responsiveness, and empathy, (2) and these quality factors significantly affect customer satisfaction on HTS and customer satisfaction and loyalty to the security company. (3) Also, customer satisfaction on HTS plays an important role in improving customer satisfaction and loyalty to the security company.

• IE interfaces
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• v.16 no.spc
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• pp.123-126
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• 2003

In this paper, we use three cluster algorithms (K-means, Self-Organizing Map, and Fuzzy K-means) to find proper graded stock market brokerage commission rates based on the cumulative transactions on both stock exchange market and HTS (Home Trading System). Stock trading investors for both modes are classified in terms of the total transaction as well as the corresponding mode of investment, respectively. Empirical analysis results indicated that fuzzy K-means cluster analysis is the best fit for the segmentation of customers of both transaction modes in terms of robustness. We then propose the rules for three grouping of customers based on decision tree and apply different brokerage commission to be 0.4%, 0.45%, and 0.5% for exchange market while 0.06%, 0.1%, 0.18% for HTS.

• Proceedings of the Korea Information Processing Society Conference
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• 2008.05a
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• pp.423-426
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• 2008

한국증권선물거래소의 유가증권 매매체결시스템은 안정적이고 신속한 데이터 처리에 초점을 둔 시스템이다. 인터넷과 HTS(Home Trading System)의 대중화로 인해 대량의 데이터로부터 적시에 정보를 추출하고 분석하고자 하는 요구가 증가하고 있다. 그러나 현재의 통계정보시스템은 이와 같은 요구를 수용하기 어려우며 개발자의 별도 노력이 요구된다. 또한 목표성능에 대한 요구가 매우 높아짐에 따라 시스템 및 어플리케이션의 증설과 개선작업이 빈번하지만 그 효과를 예측하기 어려우며 정량화 된 근거자료의 부재로 의사결정을 지연시킨다. 따라서 이와 같은 요구사항들을 해결하기 위해 기존의 통계정보시스템을 활용하고 추가적인 데이터들을 다양한 차원에서 분석 가능하도록 웨어하우스 데이터베이스를 구축하며 성능예측을 위한 요소들을 추출하고 데이터마이닝을 수행하여 의사결정에 도움을 줄 수 있는 다차원 모델링 기반의 거래분석 시스템을 제안한다. 거래분석 시스템의 구축으로 사용자는 웹상에서 적시에 다차원 분석보고서를 생성할 수 있다. 또한 관리자는 외부적 환경변화에 따른 향후 시스템 성능 감소를 예측할 수 있으며 내부적 요인을 제어하여 이를 상쇄할 수 있는 방안을 찾을 수 있게 된다.

• Journal of Korea Society of Digital Industry and Information Management
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• v.5 no.3
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• pp.19-28
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• 2009

Computer system performance has always had the possibility of affecting business profitability, but with the advent of the World Wide Web where customers interact directly with Web servers, response time can have a direct and dramatic impact on business revenue. This paper is written in the operation environment and system analysis of HTS(Home Trading System) running K Securities. This paper also shows the method for performance improvement through investigation and analysis for the overall systems resources whether HTS has an appropriate performance or not. Performance analysis includes specially CPU analysis, Memory analysis, Disk Input/Output analysis and application analysis. Besides providing more detailed server specification for expansion from now on, system performance can be maintained with effect in the future. Through this study it is possible to manage the performance of HTS more easily and to solve problems such as a bottleneck more quickly.