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Measurement of Youth Financial Literacy and Implications in Korea

  • CHOI, Byoung-Il;KIM, Jae-Jin
    • The Journal of Economics, Marketing and Management
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    • v.10 no.1
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    • pp.1-14
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    • 2022
  • Purpose: The purpose of this study is to analyze the measurement results of the financial comprehension test conducted ten times in order to study the financial comprehension. Research design, data, and methodology: In this study, correct answer rates in the Economics and Finance Literacy Certification Test were analyzed across ten rounds of tests taken by 6,662 high school students in Korea. Result: The analysis revealed that Korean high school students' level of financial literacy generally increased as the grade level increased, and the correct answer rates of students at autonomous high schools and special-purpose high schools were statistically different from those of students at general academic high schools and specialized high schools. Conclusion: We can therefore infer that students at specialized high schools face limitations in tackling financial problems due to their lack of proficiency in interpretation and calculation of data necessary for real life financial decision-making. In contrast, students at general academic high schools, special-purpose high schools, and autonomous high schools who do not learn finance as a part of their official curriculum at school were lacking in basic financial knowledge as well as knowledge about the financial system compared to students at specialized high schools, highlighting the need for a measure to address the deficiency.

Do Conflicts in the Interest of a Securities Firm Running Asset Management Businesses Effect an IPO Underpricing?

  • CHOI, Byoung-Il
    • The Journal of Industrial Distribution & Business
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    • v.13 no.2
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    • pp.45-57
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    • 2022
  • Purpose: This paper examines whether or not universal banking operating in the asset management business tend to IPO underpricing when they are hosting IPOs in favor of their private interests. Previous studies suggest evidence which indicates that the universal banking operating in the asset management business tend to underestimate offering prices. This paper compares and analyzes the data before and after June 2007 to examine the influence of put-back option on IPO underpricing. Research design, data, and methodology: This paper compares the underwritten prices of IPOs of universal banking with and without asset management business in Korea in order to test such tendency actually exists. Result: We can find that such tendency is not correlated with first-day stock returns but correlated with put-back options. Our paper concludes that the hypothesis that "the universal banking's subsidiary asset management business influences the IPO underpricing" is found to be statistically insignificant. Conclusion: According to our analysis, it cannot be concluded that the interests of operating asset management do not conflict with the ones of underwriting business. However, it is so possible that the asset management companies try to harm the customers' interests, for instances churning and stuffing, it is necessary to scrutinize their behaviors and review the related regulations.

COVID19 Related Keyword Analysis: Based on Topic Modeling and Semantic Network Analysis (코로나19 관련 키워드 분석: 토픽 모델링과 의미 연결망 네트워크 분석을 중심으로)

  • Kim, Dong-wook;Lee, Min-sang;Jeong, Jae-young;Kim, Hyun-chul
    • Journal of the Semiconductor & Display Technology
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    • v.21 no.2
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    • pp.127-132
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    • 2022
  • In the era of COVID-19 pandemic, COVID related keywords, news and SNS data are pouring out. With the help of the data and LDA topic modeling, we can check out what media reports about COVID-19 and vaccines. Also, we can be clear how the public reacts to the vaccine on social media and how this is related with the increasing number of COVID-19 patients. By using sentimental analysis methodology, we can get to know about the different kinds of reports that Korea media send out and get to know what kind of emotions that each media company uses in majority. Through this procedure, we can know the difference between the Korean media and the foreign ones. Ultimately, we can find and analyze the keyword that suddenly rose during the COVID-19 period throughout this research.

The Analysis of Factors Affecting Korean Accounting Knowledge

  • Byoung-Il, CHOI
    • East Asian Journal of Business Economics (EAJBE)
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    • v.11 no.1
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    • pp.21-30
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    • 2023
  • Purpose - The purpose of this study is to analyze the factors that influence Korean adults to acquire accounting knowledge. This study, which analyzes the characteristics of accounting knowledge of the general public, is expected to be used as basic data for the development of accounting curricula and education programs necessary for liberal arts courses and individual investor education in the future. Research design, data, and methodology -In this study, correct answer rates in the Economics and Business Literacy Test were analyzed across two rounds of tests. This study have the accounting scores of the applicants as a dependent variable and it aims to estimate key factors that affect accounting scores. Result - The results of regression analysis for individual variables that both the scores from the business administration and the economics, which were estimated to affect accounting performance, were found to have a positive effect. The results of the analysis of the relationship between major and accounting scores showed that the scores of all other majors were lower than those who majored in business. Conclusion - The results of this study suggest several implications in lecturing accounting as a basic or principle. Acquiring basic knowledge in economics and business administration was found to play an important role in understanding accounting ideas, indicating that such activities would be helpful when lecturing on accounting.

The Impact of Tax Evasion on Afghanistan's Economy

  • TAWHEED, Qais;CONG, Wang;RAFIQEE, Noorullah;QADERI, Khwaja Bahman;SHARIFI, Mohammad Shabir;HALIMI, Muhammad Shekaib
    • The Journal of Asian Finance, Economics and Business
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    • v.9 no.9
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    • pp.317-325
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    • 2022
  • The simple regression model (SRM) is used in this study to look at potential economic growth-influencing factors. The sample's period runs from 2005 to 2019. The data was gathered from various ministries and government agencies such as the Central Bank of Afghanistan's Statistical Bulletin, the World Bank, the United Nations (UN), World Bank open data, NASA, Ministry of Finance (MoF), Ministry of Economy (MoE), and Central Bank of Afghanistan's Statistical Bulletin (CBA), as well as the internet and news. There is an urgent need to ensure that taxes are collected in the most efficient manner possible because one of the enormous management gaps in Afghanistan over the last two decades has been tax evasion. According to the results of this study, tax evasion has a negative and significant impact on Afghanistan's economic growth. We can affirm that the subject of this article is among the most significant topics recently discussed in my country. If the right solutions are implemented, It can significantly contribute to quickening the cycle of the developing Afghan economy and turning it from an unstable to a sustainable one.

Recent Trends of Abnormal Sea Surface Temperature Occurrence Analyzed from Buoy and Satellite Data in Waters around Korean Peninsula

  • Choi, Won-Jun;Yang, Chan-Su
    • Korean Journal of Remote Sensing
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    • v.38 no.4
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    • pp.355-364
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    • 2022
  • In this study a tendency of abnormal sea surface temperature (SST) occurrence in the seas around South Korea is analyzed from daily SST data from satellite and 14 buoys from August 2020 to July 2021. As thresholds 28℃ and 4℃ are used to determine marine heatwaves(MHWs) and abnormal low water temperature (ALWT), respectively, because those values are adopted by the National Institute of Fisheries Science for the breaking news of abnormal temperature. In order to calculate frequency of abnormal SST occurrence spatially by using satellite SST, research area was divided into six areas of coast and three open seas. ALWT dominantly appeared over a wide area (7,745 km2) in Gyeonggi Bay for total 94 days and it was also confirmed from buoy temperature showing an occurrence number of 47 days. MHWs tended to be high in frequency in the coastal areas of Chungcheongdo and Jeollabukdo and the south coastal areas while in case of buoy temperature Jupo was the place of high frequency (32 days). This difference was supposed to be due to the low accuracy of satellite SST at the coasts. MHWs are also dominant in offshore waters around Korean Peninsula. Although detecting abnormal SST by using satellite SST has advantage of understanding occurrence from a spatial point of view, we also need to perform detection using buoys to increase detection accuracy along the coast.

Analysis of remote learning trends in the COVID-19 period using news big data (뉴스 빅데이터를 활용한 코로나 19시기의 원격 교육 동향 분석)

  • Lee, Youngho;Koo, Dukhoi
    • 한국정보교육학회:학술대회논문집
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    • 2021.08a
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    • pp.193-197
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    • 2021
  • The pandemic situation caused by COVID-19 has a large and small impact on our society socially, economically, psychologically, and other aspects. In order to prevent the spread of COVID-19, various countries, including Korea, have entered into long-term home care and distance learning systems. However, distance learning experiments conducted in many countries have raised whether face-to-face education can be replaced by distance learning. Therefore, in this study, public opinion, social perception, and field trends were analyzed based on media reports on distance learning. For this purpose, 2,600 articles from 11 newspapers and four broadcasters related to distance learning were collected in this study. Based on this data, keyword trend analysis, topic modeling analysis, sentiment analysis were performed.

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The Impact of Geopolitical Risk on Financial Conditions of Emerging Economies

  • BAJAJ, Namarta Kumari;AZIZ, Tariq;KUMARI, Sonia;ALENEZI, Marim;MATHKUR, Naif Mansour
    • The Journal of Asian Finance, Economics and Business
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    • v.10 no.1
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    • pp.133-143
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    • 2023
  • The detrimental impacts of financial instability on the world economy during the financial crisis highlighted the requirement to understand the existing financial circumstances. Stability and developments in financial conditions are important for economic prosperity. This study analyses the impact of geopolitical risk on the economic conditions of some specific emerging economies using monthly data from January 1999 to September 2016 by applying a fixed-effects panel data model. The estimation results demonstrated that geopolitical risk has a significant, negative impact on financial conditions. It shows geopolitical risk could be seen as a key factor that contributes towards financial conditions. Further, it implies that negative shocks of high geopolitical risk experienced by emerging economies are one of the primary reasons for the financial conditions' deterioration. The findings provide important insights for governments, policymakers, and investors. For instance, governments and politicians should refrain from expressing or producing tension, economic discomfort, or news that is likely to increase a high geopolitical risk. Maintaining a close eye on geopolitical risk and its sources may also help to stabilize financial conditions and develop a well-functioning financial system. As a result, investors would be better informed about an economy's economic and financial conditions, allowing them to diversify their international portfolios and devise investing strategies during uncertain economic times.

Digtal Healthcare Research Trend based on Social Media Data (소셜미디어 데이터에 기반한 디지털 헬스케어 연구 동향)

  • Lee, Taekkyeun
    • The Journal of the Korea Contents Association
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    • v.20 no.3
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    • pp.515-526
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    • 2020
  • Digital healthcare is a combined area of medical field and IT and various information on digital healthcare is provided in social media. This study aims to find the research trend of digital healthcare by collecting and analyzing data related to digital healthcare through the social media. The data were collected from Naver and Daum's news and blogs from January 2008 to June 2019. Major keywords with high frequency were extracted and visualized with wordcloud and network analysis was used to analyze the relationship between major keywords. Research combining medical field and IT from 2008 to 2001, various convergence research based on medical field and IT from 2012 to 2015, convergence research that applied the 4th industrial revolution technologies such as big data, blockchain and AI were actively conducted from 2016 to June 2019.

Personalized Search Service in Semantic Web (시멘틱 웹 환경에서의 개인화 검색)

  • Kim, Je-Min;Park, Young-Tack
    • The KIPS Transactions:PartB
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    • v.13B no.5 s.108
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    • pp.533-540
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    • 2006
  • The semantic web environment promise semantic search of heterogeneous data from distributed web page. Semantic search would resuit in an overwhelming number of results for users is increased, therefore elevating the need for appropriate personalized ranking schemes. Culture Finder helps semantic web agents obtain personalized culture information. It extracts meta data for each web page(culture news, culture performance, culture exhibition), perform semantic search and compute result ranking point to base user profile. In order to work efficient, Culture Finder uses five major technique: Machine learning technique for generating user profile from user search behavior and meta data repository, an efficient semantic search system for semantic web agent, query analysis for representing query and query result, personalized ranking method to provide suitable search result to user, upper ontology for generating meta data. In this paper, we also present the structure used in the Culture Finder to support personalized search service.