• The Research Journal of the Costume Culture
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• v.28 no.6
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• pp.830-844
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• 2020

The fourth Industrial Revolution, known as digital transformation, has made MZ generation to be the focus of the new consumer market, brought about the use of technological platforms a new consumption method. Currently, as various types of content collaboration are emerging that specifically targeting at the MZ generation. Content collaboration are considered an integration of content to create new values through co-existence and co-prosperity. This study identified the characteristics of collaboration of fashion brands from 2018 using literature and online news articles, and identified and classified through case studies of it determined movie content, game and virtual characters. By this research, it shown that collaboration with movie contents have increased the collaborative synergy by using the story in global media content. Collaboration with mobile games was generally used by young casual and sportswear brands. These brands which utilized characters from mobile games popular with to attract more teen consumers and strengthen brand awareness by adding values of high-technology and scarcity to the familiar images. In addition, collaboration with virtual characters has expanded value of the collaborative approach on expanding the range of advanced digital technology, from a promotional strategy during the distribution process through to the use of virtual models. As such, collaboration using the various types of content has developed beyond simple integration of identities among various areas, integrated products or brands that as a new value.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.8
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• pp.103-115
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• 2021

This study investigates the relationship between family ownership and the stock price crash risk. It believes that this relationship would never be in direct connection. The authors design and then find that family ownership is predisposed, in the first place, to the related party transaction, then the related party transaction causes the future stock price crash. This study infers that employing the power of family ownership creates the Type I agency problem, although this is not relevant for the Type II problem. From the perspective of the hoarding theory, family ownerships produce opaque accounts by blurring financial information. The blurred information is probably hidden in the related party transactions. This study, therefore, splits these transactions into accounts receivable, other accounts receivable and other receivables. Finally, this research concludes that the family ownership affects related party transactions. These then are used as an instrument to influence the leaded related party transaction. The latest, leaded related party transactions influence the future stock price crash. This study infers that related party transactions are abusive practices, especially on the types of receivables. It implies corporate governance's revitalisation.

• 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.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.5
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• pp.41-51
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• 2022

The research looks into the impact of stock split announcements on stock prices and market efficiency in the Colombo Stock Exchange (CSE). This research uses a sample of 26 stock split announcements that occurred between 2020 and June 2021. According to the Global Industry Classification Standards, the stock split announcements covered in the study pertain to 26 businesses and 9 industries (GICS). To obtain the results, the usual event research methodology is used. The findings demonstrate significant average abnormal returns of 15.01 percent on the day the stock split news is made public and abnormal returns of 4.11 percent and -4.05 percent one day before and after the stock split announcement date, respectively. The study's findings revealed significant positive abnormal returns one day before the disclosure date, indicating information leakage, and significant negative abnormal returns the next day after the announcement date, indicating CSE informational efficiency. Because stock prices adapt so quickly to public information, these findings support the semi-strong form efficient market hypothesis, which states that investors cannot gain an abnormal return by trading in stocks on the day of the stock split announcement.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.1
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• pp.143-152
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• 2022

This paper examines the relationship between investor sentiment and the risk of a stock price crash at the firm level. Our dataset includes 131 firms listed on the Saudi stock exchange (Tadawul) from 2011 to 2019, as well as 953 firm-year observations. To evaluate crash risk, we employ two distinct proxies and propose an index for measuring firm-level sentiment which we use for the first time in our study. The average turnover rate, price-earnings ratio, and overnight return are the three sentiment proxies we utilize in our index. Our findings show that high levels of investor emotion increase managers' proclivity to withhold unfavorable news from investors, which aggravates the risk of a stock price crash. We undertake cross-sectional regressions by sector to ensure the robustness of our findings, and our findings are confirmed. After accounting for any endogeneity issues with the GMM technique, the results remain the same. Furthermore, we analyze the liquidity effect by dividing our sample into subsamples with better and worse liquidity and find that firms with worse liquidity have a considerably greater positive impact of investor mood. Overall, our findings help investors and regulators recognize the significance of this downside risk and how to manage it in the stock market.

• 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.

• Journal of Preventive Medicine and Public Health
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• v.1 no.1
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• pp.79-86
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• 1968

This paper describes the incidence and some epidemiological features of drowning accident out of a series of our study on the epidemiology of various accidents in Korea. By the daily press it is apparent from the frequent reporting of swimming accidents that the incidence would be high. In the rural areas, there are, at present, about 1,250 artificial lakes and farm ponds to be utlized for rice production. The reservoirs, irrigation ditches and riversides are also used for recreation. In most places facilities for aquatic activities is meager, and safety measures for the prevention of drowning is not sufficiently enforced. In the survey crude data on drownings were collected from the concerned governmental statistic books for the period 1955 to 1967 which were compiled not in a uniform way. Drownings were classfied into two categories, one is accidental drowning, E 929 and the other is due to cataclysm, E 934, according to the WHO international classification of diseases. Epidemiological variables in relation to drowning accident were obtained through qualitative analysis of informations from the popular news papers. The following summary may be drawn; 1. The average number of deaths due to accidental drowning totaled 1,088 annually and the mortality rate per 100,000 population was 3.4, The 42.0% of all drownings were rescued and the remaining were not saved. 2. The sex ratio (M/F) of the victims for all ages was 5 to 1, which had a wide range of difference among the age groups. The young ages less than 20 years occupied 68.0% of all deaths. 3. The percentage distribution of the causes of accidents revealed 31.9% for careless swimming, 45.5% for unskilled, 10.6% for swimmer's cramp and 6.0% for drunked. The distribution of places where accidents occurred showed 88.0% for rivers, water reservoirs, irrigation ditches and 12.0% for regular swimming pools. The seasonal distribution of cases indicated 85.0% of the total were seen during the summer months, June-August, and 50.0% of them occurred on Sundays, 4. The average annual deaths due to cataclysm were 402 and mortality rate per 100,000 population was 1.6, but the number of victims due to cataclysm varied greatly each year. 5. The accident cases due to cataclysm were classified into 60.0% for injuries, 40.0% for deaths. The 26.8% of all deaths were missing cases. 6. The deaths due to either accidental drowning or cataclysm totaled 1,490, and the death rate per 100,000 for the whole country was 5.0.

• Journal of Korea Port Economic Association
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• v.31 no.1
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• pp.1-14
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• 2015

The standard GARCH model imposing symmetry on the conditional variance, tends to fail in capturing some important features of the data. This paper, hence, introduces the models capturing asymmetric effect. They are the EGARCH model and the GJR model. We provide the systematic comparison of volatility models focusing on the asymmetric effect of news on volatility. Specifically, three diagnostic tests are provided: the sign bias test, the negative size bias test, and the positive size bias test. This paper shows that there is significant evidence of GARCH-type process in the data, as shown by the test for the Ljung-Box Q statistic on the squared residual data. The estimated unconditional density function for squared residual is clearly skewed to the left and markedly leptokurtic when compared with the standard normal distribution. The observation of volatility clustering is also clearly reinforced by the plot of the squared value of residuals of export volume and values. The unconditional variance of both export volumes and export value indicates that large shocks of either sign tend to be followed by large shocks, and small shocks of either sign tend to follow small shocks. The estimated export volume news impact curve for the GARCH also suggests that $h_t$ is overestimated for large negative and positive shocks. The conditional variance equation of the GARCH model for export volumes contains two parameters ${\alpha}$ and ${\beta}$ that are insignificant, indicating that the GARCH model is a poor characterization of the conditional variance of export volumes. The conditional variance equation of the EGARCH model for export value, however, shows a positive sign of parameter ${\delta}$, which is contrary to our expectation, while the GJR model exhibits that parameters ${\alpha}$ and ${\beta}$ are insignificant, and ${\delta}$ is marginally significant. That indicates that the asymmetric volatility models are poor characterization of the conditional variance of export value. It is concluded that the asymmetric EGARCH and GJR model are appropriate in explaining the volatility of export volume, while the symmetric standard GARCH model is good for capturing the volatility.

• Journal of the Korean association of regional geographers
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• v.5 no.2
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• pp.1-14
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• 1999

In the course of modernization and globalization, each region in Korea has experienced deep subordination to the center of Seoul and the increase of colonization possibility by world capital. In order to overcome the current situation, above all, the strategies should be developed focusing on daily life and life space. The basis for the development of strategies is the establishment of regional identity on life space. It is because of the reason that life space, or small-scale region has drawn wide attention in the research of geography in recent years. Especially, humanistic geography and new regional geography have developed the concerning theory and methodology, and kept going on the research of small-scale regions. Generally speaking, there have been quite large amount of theoretical discussions on small-scale region in recent years in the field of geography. Empirical researches focusing on a particular small-scale region, however, have been rarely made. It seems related to the deficiency of data materials and the obscurity of research framework of small-scale regional geography. A community paper must be very helpful for the geographic research on small-scale region. As community paper is published based on county('gun'), small or mid-size city('si'), or district of large city('gu'), it deals with small news and daily life information closely attached to the region. Accordingly, it functions as a medium of the formation of regional identity. It is also a valuable source material for the validation of regional identity and for the analysis of identity-shaping mechanism. The geographic interests in community paper, first of all, should be taken shape by the work on the geographical distribution and the periodic change of publication situation of community papers in Korea. Another research subject on community paper is the examination of characteristics of the region by analyzing the news and the advertisements. The news in community paper must be a valuable data source of regional studies in geography. Also, the regional identification process of community people through the community paper could be and should be explored, and how the regional centrality, or self-generation based on the identity is achieved will be an important subject.

• Journal of the Korean Society for Library and Information Science
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• v.47 no.4
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• pp.315-334
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• 2013

This study performs opinion mining of newspaper articles, based on topics extracted by topic modeling. We analyze the attitudes of the news media towards a major issue of 'presidential election', assuming that newspaper partisanship is a kind of opinion. We first extract topics from a large collection of newspaper texts, and examine how the topics are distributed over the entire dataset. The structure and content of each topic are then investigated by means of network analysis. Finally we track down the chronological distribution of the topics in each of the newspapers through time serial analysis. The result reveals that both the liberal newspapers and the conservative newspapers exhibit their own tendency to report in line with their adopted ideology. This confirms that we can count on opinion mining technique based on topics in order to analyze opinion in a reliable fashion.