This study analyzes whether investor sentiment and liquidity explain the momentum phenomenon in the Korean stock market and whether it is a risk factor for the asset pricing model. The empirical analysis used the monthly returns of non-financial companies listed on the stock market during the period 2000-2021. As a result of the analysis, first, it was found that there is a momentum effect in Korea. This is the same result as the previous study, and since 2000, the momentum effect has been accepted as a general phenomenon in the Korean stock market. Second, if we look at the portfolio based on investor sentiment, investor sentiment is influencing momentum. In particular, when investor sentiment is negative, the return on the winner portfolio is high. Third, as a result of the analysis based on liquidity, the momentum effect disappears and a reversal effect appears. Fourth, it was found that investor sentiment and liquidity influence the momentum effect. This is a result of the strong momentum effect in the illiquid stock group with negative investor sentiment. Fifth, as a result of analyzing the effect of each factor on stock returns, it was found that both investor psychology and liquidity factors have a significant impact on returns. The estimated results provide evidence that the inclusion of these two factors in the Carhart four-factor model significantly increases the predictive power of the model. Therefore, it can be said that investor sentiment factors and liquidity factors are important factors in determining stock returns.
The two waves of EU enlargement in 2004 and 2007, have been milestones of European integration. While research has been conducted into the impact of these events on both the European and the global economies,1 there have been few attempts to assess the effects of EU enlargement and the introduction of the euro on countries such as Russia, which neighbour the EU but currently have no perspective of accession. This paper aims to provide an assessment of the effects that EU enlargement and the introduction of the euro have had on Russia, the largest country neighbouring the EU. In particular, it focuses on trade and investment links between the EU and Russia, as well as the use of the energy by Russian residents and authorities. Economic links between Russia and the EU are found to have strengthened considerably in the areas of trade, investment and other financial flows in recent years. Strong growth, particularly in Russia, as well as the high price of oil and gas, Russia's major export items, has facilitated this expansion of trade and finance. Moreover, available data do not suggest that EU enlargement has had a negative impact on Russia in terms of trade or investment diversion. Thus, the strategic partnership between Russia and the EU has been increasingly underpinned by an expansion of cross-border economic activities. Thus, the paper contributes to two broad strands of literature on this subject, namely the impact of regional trade and economic arrangements on non-member countries and the international role of currencies.
Child policy has focused on needy children with special emphasis on residual services but youth policy has implemented to promote capabilities of general adolescents by various activities. The fragmented implementation of child-youth policy by several ministries resulted in possible redundancy of target groups and insufficient service delivery system. Thus, the Ministry of Health, Welfare, and Family Affairs has pushed forward to integrate service delivery systems in child-youth policy after the former Ministry of Health and Welfare and the Government Youth Commission were integrated as part of a government reorganization plan. The purpose of this study is to review limitations of Lee Myung-bak government's plan to integrate child-youth policy and to make important suggestions for effective integration. Lee Myung-bak government's plan seeks to help children and adolescents prepare for the future and move forward with dreams and hope. However, this plan has fatal problems of overemphasizing the efficiency of finance without expansion of budget for children and adolescents. To achieve well-being tailored to one's life cycle, the full-scale expansion of budget is indispensible through the induction of the special fund or the special tax for children and adolescents. Fortunately, Lee Myung-bak government recognized child-youth policy as the social investment that would heighten national competitiveness in the long term, but there was insufficient child-youth policy infrastructure for new implementation. Therefore, Lee Myung-bak government needs a new design for integrated and universal child-youth policy that should take into account national human resource development plan and its economic development policy. The public responsibility for children and adolescents should be strengthened and, in addition, the network function in service delivery system should be complemented.
The Journal of the Convergence on Culture Technology
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v.9
no.1
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pp.287-298
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2023
The purpose of this study is to analyze the compensation law for Special Mission Executors enacted to compensate for sacrifices for the state based on the policy framework proposed by Gilbert and Terrell and to present the limitations and development directions of the compensation policy. In particular, this study presents the characteristics of each dimension of the policy through the bases of social allocation, the types of social provisions, the strategies for the delivery, and the ways to finance. Through the analysis, We deduce problems of the compensation law for Special Mission Executors. Representative limitations of the compensation policy can be summarized as follows. Due to extreme selectivism, the limitations are the narrow selection criteria of the targets, the benefits which are not out of proportional to contributions, delayed benefits and the decrease in the size of public resources. These limitations suggest that the compensation policy for Special Mission Executors does not contain the significance of the Patriots and Veterans Affairs Policy. The value the Patriots and Veterans Affairs can be considered as a means for repaying the contributions who sacrificed for the nation. Therefore, the government needs to make efforts to develop a policy with the true significance of the Patriots and Veterans Affairs.
Purpose - This paper empirically investigates the effect of a rise in the global value chain (GVC) on the industry-level efficiency of resource allocation (based on plant-level inefficiency measures) in Korea, with a focus on various channels through which a rise in the GVC can increase competition among firms and thus induce resources to be allocated more efficiently across firms. Design/methodology - We empirically investigate the relationship between the industry-specific importance of GVC and the industry-level allocative inefficiency that is measured as the dispersion of the plant-level marginal revenue of capital (MRK) as in Hsieh and Klenow's (2009) influential model. We compute MRK dispersion for industries sorted by various characteristics that are closely related to firm/industry sensitivity to the GVC. In other words, we compute the average industry-level MRK dispersion for industries sorted by industry-specific importance of GVC and compute the difference between the two groups of industries (higher vs. lower than the median GVC); we also calculate the difference between industries sorted by industry-specific export (import) intensity. This is our difference-in-difference estimate of the MRK dispersion associated with the GVC for the export (import)-intensive industry versus the non-export (non-import)-intensive industry. This difference-in-difference estimate of the MRK dispersion conditional vs. unconditional on firm-level productivity is then calculated further (triple-difference estimate). Findings - A rise in GVC is associated with a decrease in the MRK dispersion in the export-intensive industry compared to the non-export-intensive industry. The same is true for industries that rely heavily on imports versus those that do not (i.e., import intensive vs. non-intensive). Furthermore, the reduction in the MRK dispersion in the export-intensive industry associated with an increase in the GVC is disproportionately greater for high-productivity firms. In contrast, the negative relationship between GVC and MRK dispersion in the import-intensive industry is disproportionately smaller for high-productivity firms. Originality/value - Existing studies focus on the relationship between GVC and aggregate output, exports, and imports at the country level. We investigate detailed firm/industry-level mechanisms that determine the relationship between GVC, trade, and productivity. Using the plant-level data in South Korea, we investigate how GVC is related to the cross-firm MRK dispersion, an important measure of allocative inefficiency, based on Hsieh and Klenow's (2009) influential economic theory. This is the first study to provide plant-level evidence of how GVC affects MRK dispersion. Furthermore, we examine how the relationship between GVC and MRK-dispersion varies across export intensity, import intensity, and firm-level productivity, providing insight into how GVC can affect firms' exposure to competition in the global market differently depending on market conditions and thus generate trade-related productivity gains.
This study studies the policies and use cases of the government and the financial sector for artificial intelligence, and the future policy tasks of the financial sector. want to derive According to Gartner, noteworthy technologies leading the financial industry in 2022 include 'generative AI', 'autonomous system', 'Privacy Enhanced Computation (PEC) was selected. The financial sector is developing new technologies such as artificial intelligence, big data, and blockchain. Developments are spurring innovation in the financial sector. Data loss due to the spread of telecommuting after the corona pandemic As interests in sharing and personal information protection increase, companies are expected to change in new digital technologies. Global financial companies also utilize new digital technology to develop products or manage and operate existing businesses. I n order to promote process innovation, I T expenses are being expanded. The financial sector utilizes new digital technology to prevent money laundering, improve work efficiency, and strengthen personal information protection. are applying In the era of Big Blur, where the boundaries between industries are disappearing, the competitive edge in the challenge of new entrants In order to preoccupy the market, financial institutions must actively utilize new technologies in their work.
As data becomes a new core resource with high attention, MyData service is spreading to various fields such as finance, medical care, and the public sector. However, research on the behavior of MyData service users is insufficient. Therefore, this study aims to empirically examine the effect of MyData service traits on value perception and acceptable behavior particularly in the financial sector where MyData service is most active. To this end, this study proposed a research model based on the literature. 295 survey responses were collected from individuals and analyzed using AMOS 26.0 for hypothesis testing. As a result of the analysis, it was found that self-information control, financial convenience, and personalized service had a significant effect on perceived value, and that perceived value had a significant effect on the intention to accept MyData service. Furthermore, this study examined the role of personal innovation and technological security in the relationship between variables by suggesting them as moderators. Results show that individual innovation was found to strengthen the relationship between two variables(self-information control and personalized service) and perceived value. Also, technological security was shown to strengthen the relationship between perceived value and intention to accept financial MyData services. The findings are expected to provide useful information to understand the factors affecting the acceptance of financial MyData service users and to understand the importance of individual innovation levels and technological security.
The structural and sustainable implementation of the microfinance policy is required to be successful. To this end, the government should focus on availability and accessibility of the public microfinance, away from providing the beneficial financing (financial benefits)featured by the combination of the welfare and finance in the past. In addition, the government-sponsored microfinance needs to aim for performance-oriented evaluation that leads to stabilization of financial life of ordinary people or increase of income, moving away from conventional funding based on the scale and the quantity for the poor. It is necessary to implement the following policies in order for the Moon's administration to take the government-sponsored microfinance to the next level. The government-sponsored microfinance must be in the market failure domain, but nonetheless, it is required to be managed by structural and sustainable ways so that it complies with the market principles and does not crowd out the private microfinance. Last but not least, making the best use of the capital market function can be a way to fund social enterprises or social economy enterprises. This aims to enable catalyst capital in the capital market to play a prime role for the inflow of private capital for the purpose of creating the social value.
Bitcoin is a blockchain technology-based digital currency that has been recognized as a representative cryptocurrency and a financial investment asset. Due to its highly volatile nature, Bitcoin has gained a lot of attention from investors and the public. Based on this popularity, numerous studies have been conducted on price and trend prediction using machine learning and deep learning. This study employed LSTM (Long Short Term Memory) and CNN (Convolutional Neural Networks), which have shown potential for predictive performance in the finance domain, to enhance the classification accuracy in Bitcoin price trend prediction. XAI(eXplainable Artificial Intelligence) techniques were applied to the predictive model to enhance its explainability and interpretability by providing a comprehensive explanation of the model. In the empirical experiment, CNN was applied to technical indicators and Google trend data to build a Bitcoin price trend prediction model, and the CNN model using both technical indicators and Google trend data clearly outperformed the other models using neural networks, SVM, and LSTM. Then SHAP(Shapley Additive exPlanations) was applied to the predictive model to obtain explanations about the output values. Important prediction drivers in input variables were extracted through global interpretation, and the interpretation of the predictive model's decision process for each instance was suggested through local interpretation. The results show that our proposed research framework demonstrates both improved classification accuracy and explainability by using CNN, Google trend data, and SHAP.
KSCE Journal of Civil and Environmental Engineering Research
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v.28
no.5D
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pp.713-721
/
2008
The aim of this study is to analyze the spatial association of regional economic growth and land use considering 5 plus 2 regional economic sphere (Capital region zone, Chungchung zone, Honam zone, Daekyung zone, Dongnam zone and kangwon zone, Jejudo zone) in Korea. The factors of regional economic growth are GRDP and the rate of self-finance and land use, especially industrial and manufactering zone. The data for this research are obtained by National Statistical Office web-site etc. For this, the Seemingly Unrelated Regression(SUR), as a kind of simultaneous equation model, is employed as empirical analysis. Overall results of this study show that the spatial association of the capital region zone and other zones is complementary. but Honam zone and Dongnam zone or Daekyung zone is competitive. We conclude from this study that the policy of regional development will be considered in accordance with the regional economic growth and land use. Also, this study found that Economic growth of regional economic sphere will be achieved from that of cities within zone and the results will be helpful to policy makers and regional planners when establishing regional planning in the future.
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