• International Journal of Computer Science & Network Security
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• v.21 no.7
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• pp.35-42
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• 2021

In the article, the authors investigate the economic security system in the conditions of the powers transformation. It is substantiated that economic security acts as a certain system that includes components and at the same time acts as a subsystem of the highest order. It is determined that the economic security system of regions acting as a system has its subsystems, which include: production, financial, environmental, innovation, investment and social subsystems. The parameters of the economic security system include relative economic independence, economic stability and self-development of economic systems, and it is proved that an important feature of economic security in addition to its systemic nature is multi-vector. It is substantiated that the monitoring of ensuring the economic security system of the development of economic systems of different levels in the conditions of the powers transformation should contain the analysis of social, economic and ecological development of regions; spheres of possible dangers of the development of regional economic systems; the nature of the threats; the degree of the possibility of threats; time perspective of economic development threats; possible consequences of losses for economic entities; the impact of threats to the object of the economic entities' activity; possible asymmetry of economic development of regional economic entities. Possible threats as a consequence of the powers transformation have been identified. A PEST analysis of the impact of factors of different nature on economic security and the development of regional economic systems in the powers transformation is carried out. A recurrent ratio is proposed for the economic security system in the conditions of the powers transformation.

• Asia-Pacific Journal of Business
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• v.12 no.3
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• pp.379-396
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• 2021

Purpose - The purpose of this paper is to study the rational payoff from the standpoint of foreign investors and the government when the government issues GDP-linked bonds to foreign investors. Design/methodology/approach - In this paper, the prices of 12 types of GDP-linked bond structures, which are classified according to the calculation cycle of the rate of change of linked GDP, the currency issued, and whether options are embedded, were evaluated. The Fama-French 3-factor model and the GMM-SDF model are used in the asset pricing model, and domestic and overseas investors used different basis assets. Findings - The KRW premium for US investors is estimated to be 43bp on a quarterly basis and 30bp on an annual basis, respectively, meaning that when the government issues bonds in KRW, the interest rate paid to US investors will be reduced by 30bp to 160bp (annually converted). Using the Fama-French 3 factor model, the KRW premium is the risk premium for the US market beta, meaning that if US investors do not intend to invest in US market beta, it is advantageous to receive an additional interest rate by investing in USD-denominated GDP-linked bonds. Korea's GDP- linked bond give US investors diversified investment utility, so they are willing to incorporate Korean GDP-linked bonds even if -150bp of interest is deducted from the structure issued to Korean investors. And as a result of estimating the value of the option through the GDP-linked bond with options that provides a floor for guaranteeing the principal, the value of the option linked to the annual GDP issued in dollars was the lowest. Research implications or Originality - Issuing dollar-denominated GDP-linked bonds linked to annual GDP with the option of guaranteeing the principal by the government is a way to increase investment opportunities for US investors and achieve financial stability of the government.

• Journal of Digital Convergence
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• v.20 no.1
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• pp.41-46
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• 2022

Chinese stock market often rises and falls sharply. The impact of the stock price crash risk has become a hot research field to maintain financial stability. This study starts from the perspective of the proportion of largest shareholders holding shares, and studies whether largest shareholders have more incentive to supervise management and reduce self-interest behavior of management. We use the data of Chinese listed companies from 2009 to 2019 as a sample, and study the relationship between largest shareholders and share price crash risk. Empirical research shows that the higher the proportion of largest shareholders of state-owned enterprise, the company's stock price crash risk can be significantly reduced. This study suggests that the higher the share of the largest shareholder, the lower the opportunistic behavior of managers and that information asymmetry between the company and the shareholders can be alleviated.

• Journal of Distribution Science
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• v.21 no.7
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• pp.51-63
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• 2023

Housing is not only a basic requirement, but also a method to maintain stability and improve living. In the period of rapid social development which has a significant impact on the aging population, the housing issue is an impediment to Gen Y in Asia. Therefore, solving the housing conundrum is the most effective solution to other social problems. Purpose: This research is conducted to investigate factors influencing housing-option decisions of Gen Y and proposes recommendations to them as well as Governments and the real estate investors. Research design, data, and methodology: The Theory of Planned Behavior was employed with the expanded variables (Financial status, Location, Public services and Government incentives) based on literature review. Results: With 445 valid responses, almost all proposed hypotheses are accepted, which supports the positive interrelationship among variables. In the stage of data processing, we have determined the influence of each factor to the dependent variable "Actual Behavior", thereby helping real estate investors understand their desires, as well as improve the ability to meet customer needs. Conclusion: This is the basis to determine the influence of these factors, thereby providing recommendations to customers and what is more, giving real estate enterprises an insight of customers' demand in order to improve product quality and optimize the benefits of each party.

• Journal of Korea Trade
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• v.27 no.2
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• pp.47-60
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• 2023

Purpose - This paper assesses the trade potential and efficiency of Korea and China in the aquatic products trade. Trade efficiency and potential are the main factors that affect the growth of a country's trade. In this study, a time-varying stochastic frontier trade gravity model was constructed to analyze the trade potential and efficiency between Korea and China. By integrating the results of trade theory and empirical analysis, measures and suggestions were proposed to encourage the release of trade potential of fish exports between Korea and China. Design/methodology - In this paper, GDP per capita instead of economic size was chosen as an explanatory variable, and population size and relative distance were selected as explanatory variables to measure trade potential. For trade non-efficiency terms, regional organizations, political factors, and economic factors were mainly considered, and variables such as free trade agreements, political stability, regulatory quality, government efficiency, currency freedom, investment freedom, financial freedom, and trade freedom were selected. Panel data for South Korea and 14 aquatic products trading partners (including China) from 2002 to 2020 were used in the empirical analysis. Findings - In the past 19 years, South Korea's export trade potential of aquatic products to China has never been lower than 70%. It was above 90% from 2006 to 2018, and has been at a high level for a long time. This shows that China's aquatic product market has large potential for development. Originality/value - This study examines the effectiveness and potential of South Korea's exports of aquatic items to China in a methodical and comprehensive empirical manner. The evaluation of the export trade potential of South Korea's aquatic goods to China is more precise when the effects of regional organization, political, and economic variables are taken into account in the trade non-efficiency term of the stochastic frontier gravity model. At the same time, we propose to increase the scale of South Korea's aquatic products trade from the perspective of China's demand. This issue of trade studies is underexplored both empirically and in theory, although the issue has long been important to Korean and world trade.

• The Journal of Information Systems
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• v.32 no.1
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• pp.179-199
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• 2023

Purpose This study builds a prediction model to find stocks that can reach intrinsic value among KOSPI and KOSDAQ-listed companies to improve the stability and profitability of the stock investment. And investment simulations are conducted to verify whether stock investment performance is improved by comparing the prediction model, random stock selection, and the market indexes. Design/methodology/approach Value investment theory and machine learning techniques are applied to build the model. Various experiments find conditions such as the algorithm with the best predictive performance, learning period, and intrinsic value-reaching period. This study selects stocks through the prediction model learned with inventive variables, does not limit the holding period after buying to reach the intrinsic value of the stocks, and targets all KOSPI and KOSDAQ companies. The stock and financial data are collected for 21 years (2001-2021). Findings As a result of the experiment, using the random forest technique, the prediction model's performance was the best with one year of learning period and within one year of the intrinsic value reaching period. As a result of the investment simulation, the cumulative return of the prediction model was up to 1.68 times higher than the random stock selection and 17 times higher than the KOSPI index. The usefulness of the prediction model was confirmed in that the number of intrinsic values reaching the predicted stock was up to 70% higher than the random selection.

• 한국노년학
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• v.29 no.3
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• pp.1141-1158
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• 2009

This study was conducted to explore the determinants of happiness for Korean Old People. A total of 105 Korean old people responded to open-ended questions about their happiness. From the content analysis of those reponses were happiness-related 70 items derived. Then 200 old people rated themselves on the list of those items. Factor analysis of those data ended up with 33 items of 8 factors, which were ①Family relationship, ②Religion, ③Financial ability, ④Health, ⑤Work/Job, ⑥ Psychological stability, ⑦Leisure, ⑧Public welfare. This Happiness Scale for the Korean old people, Subjective wellbeing Scale, Emotion experience Scale, and Self-esteem Scale were also administered to the identical 200 Korean old people. Results indicated that the construct validity of this new Happiness Scale for Korean old people was obtained. Finally, the implications and limitations of the present study and suggestions for further studies were discussed.

• Journal of Practical Engineering Education
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• v.16 no.3_spc
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• pp.327-332
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• 2024

The spread of smart phones provides users with a variety of services, making their lives more convenient. In particular, financial transactions can be easily made online after user authentication using a smart phone. Users easily access the service by authenticating using a PIN, but this makes them vulnerable to social engineering attacks such as spying or recording. We aim to increase security against social engineering attacks by applying the authentication method including imaginary numbers when entering a password at the door lock to smart phones. Door locks perform PIN authentication within the terminal, but in smart phones, PIN authentication is handled by the server, so there is a problem in transmitting PIN information safely. Through the proposed technique, multiple PINs containing imaginary numbers are generated and transmitted as processed values such as hash values, thereby ensuring the stability of transmission and enabling safe user authentication through a technique that allows the PIN to be entered without exposure.

• Journal of Korean Library and Information Science Society
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• v.55 no.1
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• pp.215-237
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• 2024

This study proposes a selection plan for research entities and PIDs and a strategy for building and operating a PID consortium based on a survey of advanced cases of research entities and PID operations in major countries such as the United Kingdom, Germany, Canada, Japan, China, and Australia. The criteria for selecting research entities and PIDs are 'research life cycle' and 'PID infrastructure maturity'. Based on the two selection criteria, it is proposed to prioritize research entity-PID pairs such as 'Researcher-ORCID', 'Publication-DOI', 'Data-DOI', 'Institution-ROR', 'Grant-DOI', and 'Project-RAiD' and expand to other research entities and PIDs in the emerging stage. The strategy for establishing and operating a PID consortium should encourage the participation of various PID stakeholders, identify the latest trends through collaborative networks with domestic and international PID organizations, lead education and outreach activities to raise awareness and increase utilization of PID, and secure policy support and financial stability. This is expected to lay the foundation for domestic research entities to gain visibility and accessibility at the global level.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.17 no.4
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• pp.221-228
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• 2024

Predicting insurance claims is a key task for insurance companies to manage risks and maintain financial stability. Accurate insurance claim predictions enable insurers to set appropriate premiums, reduce unexpected losses, and improve the quality of customer service. This study aims to enhance the performance of insurance claim prediction models by applying ensemble learning techniques. The predictive performance of models such as Random Forest, Gradient Boosting Machine (GBM), XGBoost, Stacking, and the proposed Dynamic Weighted Ensemble (DWE) model were compared and analyzed. Model performance was evaluated using Mean Absolute Error (MAE), Mean Squared Error (MSE), and the Coefficient of Determination (R²). Experimental results showed that the DWE model outperformed others in terms of evaluation metrics, achieving optimal predictive performance by combining the prediction results of Random Forest, XGBoost, LR, and LightGBM. This study demonstrates that ensemble learning techniques are effective in improving the accuracy of insurance claim predictions and suggests the potential utilization of AI-based predictive models in the insurance industry.