• Journal of Intelligence and Information Systems
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• v.28 no.4
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• pp.157-177
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• 2022

Investors are trading stocks by keeping a close watch on the order information submitted by domestic and foreign investors in real time through Limit Order Book information, so-called price current provided by securities firms. Will order information released in the Limit Order Book be useful in stock price prediction? This study analyzes whether it is significant as a predictor of future stock price up or down when order imbalances appear as investors' buying and selling orders are concentrated to one side during intra-day trading time. Using classification algorithms, this study improved the prediction accuracy of the order imbalance information on the short-term price up and down trend, that is the closing price up and down of the day. Day trading strategies are proposed using the predicted price trends of the classification algorithms and the trading performances are analyzed through empirical analysis. The 5-minute KOSPI200 Index Futures data were analyzed for 4,564 days from January 19, 2004 to June 30, 2022. The results of the empirical analysis are as follows. First, order imbalance information has a significant impact on the current stock prices. Second, the order imbalance information observed in the early morning has a significant forecasting power on the price trends from the early morning to the market closing time. Third, the Support Vector Machines algorithm showed the highest prediction accuracy on the day's closing price trends using the order imbalance information at 54.1%. Fourth, the order imbalance information measured at an early time of day had higher prediction accuracy than the order imbalance information measured at a later time of day. Fifth, the trading performances of the day trading strategies using the prediction results of the classification algorithms on the price up and down trends were higher than that of the benchmark trading strategy. Sixth, except for the K-Nearest Neighbor algorithm, all investment performances using the classification algorithms showed average higher total profits than that of the benchmark strategy. Seventh, the trading performances using the predictive results of the Logical Regression, Random Forest, Support Vector Machines, and XGBoost algorithms showed higher results than the benchmark strategy in the Sharpe Ratio, which evaluates both profitability and risk. This study has an academic difference from existing studies in that it documented the economic value of the total buy & sell order volume information among the Limit Order Book information. The empirical results of this study are also valuable to the market participants from a trading perspective. In future studies, it is necessary to improve the performance of the trading strategy using more accurate price prediction results by expanding to deep learning models which are actively being studied for predicting stock prices recently.

• Journal of Korean Society for Quality Management
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• v.25 no.4
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• pp.50-56
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• 1997

Three essential components of self-regulating capital market includes trading clearing and regulation. These three procedures have to be excuted in accurate, prompt, and orderly way so that the markets can provide individual investors with confidence. In this study, we review these procedures and discuss how the quality service of them can be related to investor confidence. We will also discuss the details of regulatory process and especially how to monitor the stock price and volume for the detection of their unusual movements as the first procedure of regulation.

• KIPS Transactions on Software and Data Engineering
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• v.2 no.6
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• pp.369-376
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• 2013

Finance Information System is critical national infrastructure. Therefore it is important to select variables of defect causal factor for the system defect management effectively. We research and analyze detected errors in A Company's Finance Information System for three years. In the result of research and analysis, we have selected 9 variables of defect factor: the trading volume, the fluctuation of KOSDAQ index, and the number of public announcements, etc. Then we have assumed that these variables affect real system errors and analyzed correlation between the hypothesis and the detected system errors. After analyzing, we have extracted the trading volume, the number of orders and fills, changing tasks, and the fluctuations of NASDAQ index as valid variables of defect factor. These variables are proposed for failure prediction model as the variables to manage defects in the finance information system afterward.

• Journal of Fashion Business
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• v.21 no.1
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• pp.148-165
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• 2017

An assortment of daily supplies have been documented in and accounting book that Hwa-sun Song, a wholesale dealer in Hongcheon, Gangwon-do, sent to Young-hui Sin, a customer. This study analyzed a total of 163 documentations in the accounting book between 1910 to 1916, which includes types of daly supplies, trading volume, and prices, maintained accounting between. Consequently, we are able to indentify companies that produced the applicable goods, names of products, units by which goods were counted, and the lowest and highest prices prevailing, along with kinds of goods patronized in everyday life in Hongcheon in the early 20th century. Paper had the maximum trading volume. The second, most traded were cigarettes, a symbol of the new culture. These were traded under various brand names, such as Kkotpyo, Guksyu, Sanhopyo, Syonghak, and Joil. Foodstuffs, were the third most traded items, including fish, fruits, sugar, Waeddeok, Chilwaeddeok, Color candies and Okchyun candies. Our results indicate that the snack food business had developed since the 19th century. Lighting equipment, oil, candles, matches as well as traditional oil lamps and flints cornered the fourth largest stock being traded. Medications were fifth, with prescriptions written for Insohwan, Hoechyungsan and Siungo, including quinine, a medicine for malaria. Other trades included kitchen appliances such as soup bowls, porcelain bowls, kettles, and drinking cups, and a variety of daily supplies such as mirrors, mats, umbrellas, Geumjiwaemil, hair oil imported from Japan, and soap.

• 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.

• Journal of the Korean Data Analysis Society
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• v.20 no.6
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• pp.2933-2940
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• 2018

It is known that fruit is more affected by the weather than other crops. Therefore, in order to create high value for farmers, it is necessary to develop a wholesale price model considering the weather. Peaches produced under relatively limited conditions were chosen as subjects of study. The data were collected from 2015 to 2017 provided by okdab 4.0. The meteorological data used for the analysis were generated by weighting the cultivation area and the variables with high correlation among the weather data were selected from the day before to 7 days before. Randomforest, gradient boosting machine, and XGboost were used for the analysis. As a result of analysis, XGboost showed the best performance in the sense of RMSE and correlation, and price prediction was comparatively well predicted, but the accuracy of the trading volume prediction was not so good enough. The top three weather variables affecting to the peach were minimum temperature, average maximum temperature, and precipitation.

• Journal of Arbitration Studies
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• v.31 no.1
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• pp.155-171
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• 2021

Recently, the e-business market has become a place of convergence where consumers and suppliers communicate with each other, and a new method of trading of funds has emerged in the process. Crowd-funding is one of the types of money transactions that have emerged in the online space, and its interest and trading volume have been growing rapidly recently. The platform in the online space using crowd-funding method operates in the form of online telecommunication sales, and it is in the form of producing and delivering products based on funds obtained from potential consumers by the operators involved in securing funds. However, if the participating business operators do not deliver the product or deliver the product other than the promoted product and avoid responsibility, the potential demander will not be compensated without mediation by the platform operating entity. In this study, despite the rapid growth in the market size of crowd-funding, consumers who participated in the funding are protected and able to resolve disputes in the event of a conflict amid growing complaints from potential consumers and side effects. The structure or method of crowd-funding is a new form of trading that has different features from conventional e-commerce. Therefore, the legal basis is not yet in place and the standards need to be laid out through various and sufficient discussions politically, legally, socially and culturally and economically. As the potential market and positive effects of crowd-funding around the world have been recognized, a role is required as an ecosystem for new financial transactions. And the potential market could be realized as a new industry if the right legal system and policy consultation were made.

• Journal of Arbitration Studies
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• v.17 no.1
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• pp.137-155
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• 2007

Since China joined the WTO, the trade between Korea and China has continued to grow by leaps and bounds, making both nations become mutually important trading partners to each other. The volume of trades with China showed a rapid upward trend with an average annual increase rate of 20% and the resultant dispute is also rising. Thus, this study was aimed to make some suggestions and come up with ways of responding claims by surveying Korean trading firms which have experience in making transactions with China to investigate the current status and the actual condition of their occurrence. As a result of this study, firstly, the main cause of such dispute was shown to be the failure to perform the agreement. Secondly, there were malty verbal agreements and due to a deterioration of trust in Chinese firms, the method of a letter of credit was adopted by many Korean firms. Thirdly, the payment and credit appeared to be most important in transactions with China. A credit inquiry is a must in future transactions with China. Fourthly, the indirect cause of the occurrence of trade claims was the difference in commercial practices and as for the way of settling disputes, the agreement through negotiations between the parties involved was the most. Fifthly, small and medium firms should make more of their credit and English proficiency than large ones do.

• Journal of Distribution Science
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• v.15 no.5
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• pp.29-38
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• 2017

Purpose - Prior theories predict a negative correlation between stock liquidity and dividend payout propensity. We test this hypothesis by examining the sample Korean retail firms. Research design, data, and methodology - We construct four different types of stock liquidity measures and investigate how these stock liquidity variables affect dividend payout propensity by employing the logit regression model. The retail firms listed in the KOSPI and KOSDAQ markets are analyzed from 1990 to 2015. Results - Our estimation results support the liquidity hypothesis if we adopt the stock turnover rate as the stock liquidity measure, particularly for the retail firms listed in the KOSPI markets and for non-conglomerate firms. Yet, our estimation results adopting the illiquidity measure of Amihud (2002), the proportion of non-trading day, and the volume of trading do not support the liquidity hypothesis. Conclusions - Our findings provide mixed results for the validity of stock liquidity hypothesis, which enriches the existing literature. In terms of turnover rate, the stock liquidity hypothesis holds robustly. Yet, we are not able to find any empirical evidence supporting the hypothesis if we use the other three measures of stock liquidity.

• Asia pacific journal of information systems
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• v.12 no.3
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• pp.115-133
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• 2002

The past research have suggested that the Inter-Organizational E-Commerce based on the Inter-Organizational Systems(IOSs) has direct impact on the Inter-Organizational Relationships(IORs) in general. Considering the importance of this issue, however, few empirical research have been conducted. The objective of this study is to examine the impact of the level of Inter-Organizational E-Commerce on the performance of IORs in particular. Reviewing the literature, we suggested a research model and developed ten hypotheses to be tested. We conducted a survey and collected data from 125 companies which were using. EDI systems. The data were analyzed using LISREL 8.30. The major findings are: (1) The volume of E-Commerce has a positive impact on the commitment of trading partners. (2) High quality of information sharing and high degree of standardization improve the trust and the commitment between trading parties. (3) The trust and the commitment are critical precedent variables of cooperation. (4) The more partners cooperate each other, the more transaction cost will be reduced and as a result, the more financial performance will improve. A discussion on the result of the hypotheses test is followed by a discussion on the academic and practical implications of this study.