• Management & Information Systems Review
• /
• v.26
• /
• pp.1-26
• /
• 2008

Since Capital Asset Pricing Model(CAPM) was proposed in the early 1960s by William Sharpe(1964) and John Lintner(1965) researchers have investigated the validity of the model. The results of empirical researches do not show that expected returns of stocks seem to be determined solely by systematic risk of the stocks as precicted by CAPM. In this paper the relationship between transaction volume and expected returns of stocks was investigated. Empirical cross-sectional analysis about the data collected from Stock Market of Korea Exchange shows transaction volume and variability of stock returns play an important role in pricing assets. The well-known variables which were used traditionally to explain the differences of expected returns among stocks such as the size and beta of a stock seems to be unimportant in pricing assets.

• Journal of Internet Computing and Services
• /
• v.12 no.5
• /
• pp.159-170
• /
• 2011

In procurement auctions, auction frequency and transaction volume per auction have been analyzed as important factors in determining auction performance. However, there is no empirical study on the effect of auction frequency and transaction volume in procurement auction. Current studies mainly focus on bidder behavior analysis and new system design in procurement auction. In the study, we analyze the effect of two factors on relative winning price empirically by using real auction data from MRO procurement outsourcing company in Korea. From the results, we find the winning price is lower when the frequency of auction with same item category is lower. The low frequency of auctions means participating bidders have limited information of previous auctions and they bid their best price to win the current auction due to less opportunity of reopening the auction in near future. The larger purchase amounts of MRO items didn’t results in lower winning price, contrary to our hypothesis. The possible reason is that the price of MRO items already reflects the economy of scales and the increased volume per auction do not cause the further discount of MRO items from the auction.

• Journal of the Korean Operations Research and Management Science Society
• /
• v.27 no.4
• /
• pp.29-39
• /
• 2002

The transaction tables of the existing association algorithms have two column attributes : It is composed of transaction identifier (Transaction_id) and an item identifier (item). In this kind of structure, as the volume of data becomes larger, the performance for the SQL query statements came applicable decreases. Therefore, we propose advanced association rules algorithm of n-items which can transact multiple items (Transaction_id, Item 1, Item 2…, Item n). In this structure, performance hours can be contracted more than the single item structures, because count can be computed by query of the input transaction tables. Our experimental results indicate that performance of the n items structure is up to 2 times better than the single item. As a result of this paper, the proposed algorithm can be applied to internet shopping, searching engine and etc.

• KDI Journal of Economic Policy
• /
• v.41 no.1
• /
• pp.15-41
• /
• 2019

This paper economically analyzes the benefits and concerns of the sharing economy and derives policy implications that could help to achieve the expected benefits and respond appropriately to any concerns. Primary benefits anticipated from the sharing economy are the creation of new transactions and promotional and market testing opportunities, and the main concerns include the crowding out of existing transactions as well as transaction and social risks. How these benefits and concerns are being realized in Korea is empirically examined by conducting a survey on participation experiences with the sharing economy. The sharing economy is expected to contribute to the enhancement of social welfare with its wide range of benefits if risk factors can be properly controlled. Accordingly, an institutional framework is needed to support the stable growth of the sharing economy, and the unique characteristics of non-professional, peer-to-peer transactions should be reflected in tandem with regulatory equity between existing and sharing economy suppliers. To do this, transaction-volume-based regulations are recommended. Furthermore, to secure regulatory effectiveness and to alleviate transaction risks, the pertinent obligations must be imposed on sharing platforms.

• Transactions of the Korean hydrogen and new energy society
• /
• v.33 no.6
• /
• pp.692-698
• /
• 2022

With the expansion of domestic hydrogen fuelling station infrastructure, it is necessary to secure reliability among hydrogen traders, and for this, technology to accurately measure hydrogen is important. In this study, 4 types of hydrogen trading volume calculation models (model 1-4) were presented to improve the accuracy of the hydrogen trading volume. In order to obtain the reference value of model 4, and experiment was conducted using a flow rate measurement equipment, and the error rate of the calculated value for each model was compared and analyzed. As a result, model 1 had the lowest metering accuracy, model 2 had the second highest metering accuracy and model 3 had the highest metering accuracy until a certain point. But after the point, model 2 had the highest metering accuracy and model 3 had the second metering accuracy.

• Journal of Korea Artificial Intelligence Association
• /
• v.1 no.2
• /
• pp.15-20
• /
• 2023

This study aims to enhance the accuracy of fine dust predictions by analyzing various factors within the local environment, in addition to atmospheric conditions. In the atmospheric environment, meteorological and air pollution data were utilized, and additional factors contributing to fine dust generation within the region, such as traffic volume and electricity transaction data, were sequentially incorporated for analysis. XGBoost, Random Forest, and ANN (Artificial Neural Network) were employed for the analysis. As variables were added, all algorithms demonstrated improved performance. Particularly noteworthy was the Artificial Neural Network, which, when using atmospheric conditions as a variable, resulted in an MAE of 6.25. Upon the addition of traffic volume, the MAE decreased to 5.49, and further inclusion of power transaction data led to a notable improvement, resulting in an MAE of 4.61. This research provides valuable insights for proactive measures against air pollution by predicting future fine dust levels.

• KIEE International Transaction on Electrical Machinery and Energy Conversion Systems
• /
• v.4B no.1
• /
• pp.20-23
• /
• 2004

BLDCMs are widely used in many industries. In certain specialized areas, they need to have high efficiency, high power rate and produce a low volume of noise, etc. In this study, a new type of slotless BLDCM is proposed that has no cogging torque, low iron loss and low volume as compared to commonly used BLDCMs. With a high performance magnet and coreless compact winding structure similar to those employed in linear synchronous motors, motor volume is reduced. The proposed motor has been put been through various experiments arid has demonstrated acceptable results for industry applications.

• Journal of Convergence for Information Technology
• /
• v.10 no.10
• /
• pp.65-70
• /
• 2020

With the appearance of Bitcoin that builds peer-to-peer networks for transaction of digital content and issuance of cryptocurrency, lots of blockchain networks have been developed to improve transaction performance. Recently, Joseph Lubin discussed Decentralization Transaction per Second (DTPS) against alleviating the value of biased TPS. However, this Lubin's trust model did not enough consider a security issue in scalability trilemma. Accordingly, we proposed a trust metric based on blockchain size, stale block rate, and average block size, using a sigmoid function and convex optimization. Via numerical analysis, we presented the optimal blockchain size of popular blockchain networks and then compared the proposed trust metric with the Lubin's trust model. Besides, Bitcoin based blockchain networks such as Litecoin were superior to Ethereum for trust satisfaction and data volume.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
• /
• v.37
• /
• pp.161-185
• /
• 2008

In 2006, the share of fisheries distribution in Busan amounted to 1.9 million ton, which was 41 percent of the whole country. In details, coastal fishery 334 thousand ton(14% of the whole country), deep sea fishery 452 thousand ton(82%), import fishery 964 thousand ton(70%), export fishery 157 thousand ton(43%) were distributed in Busan region, respectively. According to distribution share, import(50%), deep sea fishery(24%), coastal fishery(18%), export(8%) are main category of fisheries distribution in Busan. After the institutional changes in 1997, that is, from monopoly to the competitive systems are implemented, the share of sales volume through a home trust market decreased gradually since 2000. Especially, the share of direct sales in farming fisheries sector amounted to 73.8 percent of total production volume, 80.7 percent of production value in 2005. Furthermore, the share of fisheries sale through e-commerce is increasing owing to the growth of IT and competitive price of its products. and the sale share of large discount store is also on the 10% more increase. Hereafter these structure changes of fisheries distribution in Busan will be more intensified. Therefore, after reflecting the change in distribution policy of Busan Fisheries, the directions of distribution policy should be established, as follows. $\cdot$ Distribution policy to prepare for increasing of non-trust market sales $\cdot$ Fisheries distribution policy to prepare for increasing of direct transaction like e-commerce $\cdot$ Distribution policy to prepare for increasing of sales ratio in large discount store $\cdot$ Distribution policy for making up sound purchasing circumstance of Fisheries $\cdot$ Distribution policy for reducing the fisheries distribution cost $\cdot$ Distribution policy to prepare for increasing of direct carrying the deep sea fisheries and import fisheries to Seoul and $Inch'{\breve{o}}n$ section $\cdot$ Distribution policy for implementing the information system for managing fisheries transaction $\cdot$ Distribution policy for advancing the export & import management of fisheries $\cdot$ Distribution policy for establishing transaction principle reflecting the peculiarity in fishery distribution(to enacting independent fishery law)

• Journal of Intelligence and Information Systems
• /
• v.28 no.4
• /
• pp.81-94
• /
• 2022

Real estate and artworks were considered challenging investment targets for individual investors because of their relatively high average transaction price despite their long investment history. Recently, the so-called fractional investment, generally known as investing in a share of the ownership right for real-life assets, etc., and most investors perceive that they actually own a piece (fraction) of the ownership right through their investments, is gaining popularity. Founded in 2016, Musicow started the first service that allows users to invest in copyright fees related to music distribution. Using the LSTM algorithm, one of the deep learning algorithms, this research predict the price of right to participate in copyright fees traded in Musicow. In addition to variables related to claims such as transfer price, transaction volume of claims, and copyright fees, comprehensive indicators indicating the market conditions for music copyright fees participation, exchange rates reflecting economic conditions, KTB interest rates, and Korea Composite Stock Index were also used as variables. As a result, it was confirmed that the LSTM algorithm accurately predicts the transaction price even in the case of fractional investment which has a relatively low transaction volume.