• Title/Summary/Keyword: trading volume

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Blockchain-based Copyright Management System Capable of Registering Creative Ideas (창의적인 아이디어를 등록할 수 있는 블록체인 기반의 저작권 관리시스템)

  • Hwang, Jung-sik;Kim, Hyun-gon
    • Journal of Internet Computing and Services
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    • v.20 no.5
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    • pp.57-65
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    • 2019
  • Creative works such as webtoon and web novel are part of property rights. However, illegal copies of them are distributed on the internet easily, which raises social issues in today's society. In order to tackle these problems, this paper proposes and presents a blockchain based copyright management system that ensures forgery prevention, robust security features, improving trading performance, cost-effective, and enhanced visibility. The system allows a user to register creative works formally just the same as before registration and also to register simple creative ideas just anytime. In the latter case, if an idea or a thought flashes across through somebody's mind, he or she can register it to the system immediately without formal registration process and afterward, can utilize a way to prove its originality through the system. Regarding large size images and video files of creative works, the system reduces data size and storage volume sharply to be processed by network entities by storing original creative works separately and including only the hash result of creative works to the transactions.

Factors of Korea-China Product Trade According to GVC Changes: Focused on FTA

  • Kwak, Su-Young;Choi, Mun-Seong;Kim, Yong-Hwan;Lee, Do-Hyung
    • Journal of Korea Trade
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    • v.24 no.8
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    • pp.133-152
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    • 2020
  • Purpose - The purpose of this study is to analyze the determinants of commodity trade in Korea and China and to examine the implications of China's GVC shift from export to domestic market on its impact on Korea's trade. Design/methodology - This study selected 30 major trading partner countries. The dependent variable is the trade volume, and the independent variables are general economic factors such as gross domestic product (GDP), GDP per capita, distance, and FTA. Findings - The trade pattern of Korea's commodities shows that GDP has a positive relationship with trade, import, and export. Distance has a significant negative relationship with total trade, import, and export. FTA is significant for import but it is not significant for total trade and export. The trade pattern of China's commodities shows that GDP has a significant positive relationship with total trade, import, and export. Distance has a negative relationship with trade, import, and export. GDP per capita is not significant for total trade and import, but it is significant for export. FTA is significant for total trade and export, but it is not significant for import. Originality/value - Existing papers were studied mainly in certain industrial sectors such as agriculture, manufacturing, automobile industry and steel industry. This paper attempts to collects vast amounts of data about the 30 countries of Korea and China respectively and analyzes by Random Effect Model dividing the goods (0 to 9) in units of STIC (Rev. 4). The major contribution is that the decision factors affecting commodity trade can be analyzed in SITC units (0-9) to obtain analysis results that are subdivided by product group and organized by product.

A study on Deep Learning-based Stock Price Prediction using News Sentiment Analysis

  • Kang, Doo-Won;Yoo, So-Yeop;Lee, Ha-Young;Jeong, Ok-Ran
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.8
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    • pp.31-39
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    • 2022
  • Stock prices are influenced by a number of external factors, such as laws and trends, as well as number-based internal factors such as trading volume and closing prices. Since many factors affect stock prices, it is very difficult to accurately predict stock prices using only fragmentary stock data. In particular, since the value of a company is greatly affected by the perception of people who actually trade stocks, emotional information about a specific company is considered an important factor. In this paper, we propose a deep learning-based stock price prediction model using sentiment analysis with news data considering temporal characteristics. Stock and news data, two heterogeneous data with different characteristics, are integrated according to time scale and used as input to the model, and the effect of time scale and sentiment index on stock price prediction is finally compared and analyzed. Also, we verify that the accuracy of the proposed model is improved through comparative experiments with existing models.

Do the Price Limits in KOSDAQ Market change on the Volatility? (코스닥시장의 가격제한폭 확대는 변동성을 증가시키는가?)

  • Park, Jong-Hae;Jung, Dae-Sung
    • Management & Information Systems Review
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    • v.33 no.2
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    • pp.119-133
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    • 2014
  • This Research focuses on the effect of the price limits change in KOSDAQ market change on the volatility. The sample period ranges from 22 May 2000 to 24 March 2010 for daily data. We construct two subsample periods for comparing with the effect of the change of the price limit. These limits were relaxed from 12% to 15% on March 25, 2005. The first subsample period is from 25 March 2000 to 24 March 2005. The second subsample period is from 25 March 2005. to 24 March 2010. We employee four different volatility, which are the range-based volatility of Parkinson(1980; PK), Garman and Klass(1980; GK) Rogers and Satchell(1991; RS), Yang and Zhang(2008; YZ). The empirical result as follows. The major findings are summarized as follows; First, the volatility of individual stocks in KOSDAQ market reduces significantly after the price limit change. Second, There is so high volatile especially when the volatility of stock prices is high. Third, There is no meaningful relationship between volatility and market capitalization. Fourth, the more volume stocks reduce the volatility. Our results show the volatility decreased the more large volume, the more trading amount and the high price stock.

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A Study on the Revitalization of Container Cargoes in Donghae Port Using IPA Technique (IPA기법을 활용한 동해항 컨테이너 활성화 강화 방안에 관한 연구)

  • Park, Young-il;Nam, Tae-Hyun;Ma, Hye-Min;Yeo, Gi-Tae
    • Journal of Digital Convergence
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    • v.16 no.3
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    • pp.275-289
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    • 2018
  • It is necessary to develop a bridgehead port for trading with northern countries to promote trade through the East Sea because the East Sea Rim economic bloc around the Northeast Asia including South Korea, China, Russia, Japan, and North Korea has a high growth potential in the future. Therefore, this study aims to suggest a strategic direction to enhance the competitiveness of Donghae Port through reinforcement of container cargoes by conducting Importance-Performance Analysis (IPA) for stakeholders of Donghae Port. The analysis results suggest that it is necessary to improve the five evaluation factors: attractiveness of container and bulk volumes, appropriate ratio of export/import container quantities, frequency of vessel entry and diversity of sea routes, convenience of complex linked transportation, and competitiveness of cargo handling equipment. The implications of this study are as follows. First, it is necessary to continuously research the current status of container and bulk cargo volumes of the port and ways to increase the absolute cargo volume. Second, we need to consider realistic alternatives to improve the ratio of export/import container quantities. Third, in terms of network, we should establish a service improvement plan to increase the frequency of port calls and the diversity of sea routes. Furthermore, incentives should be provided to increase the trade volume of Donghae Port through strengthened complex linked transportation function. Finally, it is urgently necessary to provide investment support for container handling equipment as an essential requirement for the activation of the container cargoes in Donghae Port.

A Study on the Export Potential of Bangladesh's Ready-Made Garments (중력모형을 이용한 방글라데시 의류 유망 수출시장 추정)

  • Hossain, Sumon;Oh, Keunyeob
    • Management & Information Systems Review
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    • v.37 no.2
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    • pp.87-108
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    • 2018
  • This article explores the international trade flow of Bangladesh's ready-made garments (RMG). We first suggest the brief history and an international structure of trade among countries by using the trade volume. Then we implemented a gravity model regression with the sample of 38 major partner countries in order to investigate the potential export market for the RMG industry. The fixed effect and random effect model for the panel data during the period of 1990 to 2011 are estimated. Our result shows that Bangladesh's RMG exports are affected positively by the size of economy, inflation, exchange rate, foreign direct investment(FDI) and trade openness. On the other hand, the distance between trading partners are related negatively with the trade volume. We used the estimated coefficients from the panel regression in order to predict RMG export potential of Bangladesh. This might show which country is the promising export market for Bangladesh RMG industry. We found that Bangladesh has the highest potential of RMG export with Japan and USA, which seem to have considerable room for export growth if trade barriers and constraints are removed. We added some policy implications for encouraging the RMG export of Bangladesh by using the results from the analysis.

The Comparative Analysis on the Scrap Transport Costs of Container and Bulk Ship (스크랩(Scrap) 화물의 운송경로별 경제성 평가에 관한 연구)

  • Park, Jae-Kwan;Joung, Eun-Sun;Shin, Yong-John
    • Journal of Navigation and Port Research
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    • v.33 no.8
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    • pp.563-572
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    • 2009
  • The steel industry, as the national representative strategic industry of our country, has played the motive power for the economic growth of Korea in 1970s as the positive support of the government and the management endeavor of the private were harmonized. However, in case of our country, we have mostly relied on import of the raw materials for the steel industry, and as the weight of the imported raw materials is heavy, the steel industry is the industry whose transport burden is big as it is called 'transport industry'. So, the transport rationalization will be the important task of the steel industry. This study has analyzed the economic efficiency per the transport route (container ship vs bulk ship) of the sea transport related to import/export of the steel scrap on the level acquiring the stable supply of the steel scrap. For this, this study firstly researched the status of domestic/foreign steel industry. And analyzed the world crude steel production volume, steel scrap consumption volume and world steel scrap trading structure. Also, in order to compare the transport logistics expenses between two transport devices, namely, container ship and bulk ship, this study calculated the logistics expenses per ton by using the traffic hours and traffic expenses items as the imported/exported scrap freights of 'D' company.

Enlargement of Harbour limit and Anchorages according to the development of New Ulsan Port (울산 신항 개발에 따른 항계 및 정박지 확장에 관한 연구)

  • Yun, Gwi-Ho;Kim, Bu-Young;Park, Jin-Soo;Lee, Yun-Sok
    • Journal of Navigation and Port Research
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    • v.34 no.6
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    • pp.487-492
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    • 2010
  • Ulsan Port is the biggest base port for liquid cargoes in Korea and is pushing in earnest for the development of the 'Ulsan New Port' and 'Northeast Asia Oil-Hub' to prepare for continuous shipment growth. However, Ulsan is in the situation which the harbour limit and anchorages are narrower than other trading ports and the occurrence probability of marine accidents is very high due to heavy marine traffic. We will find and suggest the plan to enlarge the harbour limit essentially needed to expand anchorages considering the geomorphological features of Ulsan and the volume of marine traffic in this research. For the enlargement of harbour limit needed to expand anchorages, the anchorage area needed for Ulsan New Port was calculated after the quantitative analysis of enlargement range through the mutual comparison of the area of harbour limit and anchorages with berths and the volume of marine traffic. The reasonable type of harbour limit, which is based on the survey by a group of experts, was also determined after the decision of the range of harbour limit to accommodate the relevant anchorages.

Analysis of Changes in Trade Structure of the Raw Materials of Rare Metals in Korea (국내 희유금속 원재료 교역구조 변화 분석 연구)

  • Hwa Suk Lee;Yu Jeong Kim
    • Resources Recycling
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    • v.32 no.6
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    • pp.67-78
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    • 2023
  • The rare metals used as raw materials in high-tech industries undergo changes in demand structures and supply chains following domestic industrial structural shifts and technological advancements, exhibiting high price volatility. Therefore, it is necessary to periodically analyze changes in the demand structures of rare metals. Since domestic demand for most rare metals relies on imports in Korea, the changes in domestic demand for rare metals can be identified by analyzing changes in their trade structure. In the present study, we analyze the changes in trade volume, trade growth rate, trade rankings, and trading countries from 2000 to 2022 for 35 rare metals, categorized into five types-ores, metals, alloys, compounds, and scrap. The trade of the raw materials of rare metals in Korea has generally increased since the 2000s, except for a significant decline in 2009 and 2016. The total trade volume, encompassing both exports and imports, has increased by approximately tenfold in 2022 compared to 2001. Until the mid-2010s, the trade of the raw materials of rare metals was primarily focused on those used in steel-manufacturing such as silicon, nickel, chrome, molybdenum, manganese, and others. However, after that period, there has been an increase in the trade of platinum group metals like palladium, rhodium, platinum, and the raw materials of rare metals for secondary battery-manufacturing such as lithium and cobalt. Particularly in 2022, lithium has become the largest share in trade of the raw materials of rare metals in Korea, due to the price surge and increase in demand.

Mutual Funds Trading and its Impact on Stock Prices (뮤추얼펀드의 자금흐름과 주식거래가 주가에 미치는 효과)

  • Kho, Bong-Chan;Kim, Jin-Woo
    • The Korean Journal of Financial Management
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    • v.27 no.2
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    • pp.35-62
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    • 2010
  • This paper examines the existence of the fund performance persistence and the smart money effect in Korean stock market and tests the flow-induced price pressure (FIPP) hypothesis, that is, fund flows affect individual stock returns and mutual fund performance. This paper also tests whether the FIPP effect can cause the performance persistence using the monthly returns and stock holdings data of 2,702 Korean mutual funds from January 2002 to June 2008. The empirical results indicate that the performance persistence exists significantly for a long time but the smart money effect does not. The hedge portfolio constructed by buying funds with the highest past 12 months performance and selling funds with the lowest past 12 months performance earns 0.11%~1.05% monthly abnormal returns, on average, in 3 years from portfolio formation month, but the hedge portfolio constructed by buying funds with the highest past net fund inflows and selling funds with the lowest past net fund inflows cannot earn positive monthly abnormal returns and the size of negative abnormal returns of the portfolio increase as time goes on. We find the evidence that the FIPP hypothesis is significantly supported. We first estimate the FIPP measure for each individual stock using the trading volume resulting from past fund flows and then construct the hedge portfolio by buying stocks with the highest FIPP measure and selling stocks with the lowest FIPP measure. That portfolio earns significantly positive abnormal return, 1.01% at only portfolio formation month and cannot earn significant abnormal returns after formation month. But, the FIPP effect cannot cause the performance persistence because, within the same FIPP measure group, funds with higher past performance still earn higher monthly abnormal returns than those with lower past performance by 0.08%~0.77%, on average, in 2 years. These results imply that the main cause of the performance persistence in Korean stock market is the difference of fund managers' ability rather than the FIPP effect.

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