• Journal of Korean Society of Industrial and Systems Engineering
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• v.41 no.3
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• pp.154-161
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• 2018

This study conducted to predict the stock market prices based on the assumption that internet news articles might have an impact and effect on the rise and fall of stock market prices. The internet news articles were tested to evaluate the accuracy by comparing predicted values of the actual stock index and the forecasting models of the companies. This paper collected stock news from the internet, and analyzed and identified the relationship with the stock price index. Since the internet news contents consist mainly of unstructured texts, this study used text mining technique and multiple regression analysis technique to analyze news articles. A company H as a representative automobile manufacturing company was selected, and prediction models for the stock price index of company H was presented. Thus two prediction models for forecasting the upturn and decline of H stock index is derived and presented. Among the two prediction models, the error value of the prediction model (1) is low, and so the prediction performance of the model (1) is relatively better than that of the prediction model (2). As the further research, if the contents of this study are supplemented by real artificial intelligent investment decision system and applied to real investment, more practical research results will be able to be developed.

• Journal of the Korean Institute of Intelligent Systems
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• v.18 no.6
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• pp.781-786
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• 2008

In this paper, we propose a novel approach predicting the fluctuation of stock index by finding a relation in various stock indexes that are represented by linear combinations. The important points are to select stock indexes related to predicting indexes and to find the proper relations in them. Since it is unattainable to use entire stock indexes relation, we used only data that are closely associated with each other. We used Genetic Algorithm(GA) to find the most suitable stock-index relation. We simulated the investment in years from 2005 to 2007 with each real index. Finally we verified that the investment money increased 230 percents by the proposed method.

• International Journal of Computer Science & Network Security
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• v.23 no.9
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• pp.37-46
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• 2023

The main aim of the article is to solve the problem of automating price monitoring using marketing forecasting methods and Excel functionality under martial law. The study used the method of algorithms, trend analysis, correlation and regression analysis, ANOVA, extrapolation, index method, etc. The importance of monitoring consumer price developments in market pricing at the macro and micro levels is proved. The introduction of a Dummy variable to account for the influence of martial law in market pricing is proposed, both in linear multiple regression modelling and in forecasting the components of the Consumer Price Index. Experimentally, the high reliability of forecasting based on a five-factor linear regression model with a Dummy variable was proved in comparison with a linear trend equation and a four-factor linear regression model. Pessimistic, realistic and optimistic scenarios were developed for forecasting the Consumer Price Index for the situation of the end of the Russian-Ukrainian war until the end of 2023 and separately until the end of 2024.

• Journal of the Korean Society of Clothing and Textiles
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• v.34 no.9
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• pp.1546-1557
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• 2010

This study analyzes the status of foreign direct investment in Korean textiles and fashion firms and investigates the factors determining their performance. A total of 1,251 cases (including 1,116 manufacturers and 135 of distributors from the 2009/2010 Korean Overseas Business Directory published by KOTRA) were used. The results of this study are as follow: 1) In the case of manufacturers, China was the most heavily invested in country, and the Asian region that included China, Vietnam, Indonesia and Bangladesh consisted of 80% total investment. In cases of distributors, China was also the first ranking country and other countries, that included Vietnam, United States, and Japan are major ones. 2) In terms of the foreign entry mode, wholly-owned subsidiaries represented 90% of total cases. As the index of the degree of localization, the ratio of local employees was very high. 3) Different countries were utilized by year, type of business, and area of process. In manufacturers, Indonesia, China, and Vietnam were the most heavily utilized countries in the 1980s, 1990s, and 2000s, respectively. For distributors, China was the major market ill the 1980s and 1990s but Vietnam has emerged as the biggest market in the 2000s. In terms of area of process, China was for manufacturing fibers and fabrics, Vietnam was for most items, Indonesia was for assembly, knit, accessories, and Bangladesh was for embroidery and accessories. 4) The determining factors of the age of foreign business as the proxy index and performance of foreign business entry, were different by the type of business. For manufacturers, four factors including the dollar amount of investment, number of local employees, the mode of foreign direct investment, and entry to China were significant. On the other hand, only two factors including the dollar amount of investment and entry (other than China) were significant distributors.

• Journal of the Korean Home Economics Association
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• v.48 no.5
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• pp.103-117
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• 2010

The purpose of this study was to examine relationships among body image attitudes and their correlates in early adolescence. The participants were 614 adolescents. The results were as follows: 1) There were significant correlations among adolescents' body image evaluation, body image investment, body mass index, depression, perceptions of parental and peer influence, and awareness of media messages regarding physical appearance, 2) There were significant differences in depression, parents' influence, peer influence, and awareness of media messages regarding physical appearance between adolescents with higher body image investment and those with lower body image investment, and 3) Awareness of media messages regarding physical appearance was the most influential predictor of adolescents' body image investment.

• Korean Management Science Review
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• v.32 no.3
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• pp.91-103
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• 2015

This study recognizes that there is a correlation between the movement of the financial market and the sentimental changes of the public participating directly or indirectly in the market, and applies the relationship to investment strategies for stock market. The concerns that market participants have about the economy can be transformed to the search terms that internet users query on search engines, and search volume of a specific term over time can be understood as the economic trend of big data. Under the hypothesis that the time when the economic concerns start increasing precedes the decline in the stock market price and vice versa, this study proposes three investment strategies using casuality between price of domestic stock market and search volume from Naver trends, and verifies the hypothesis. The computational results illustrate the potential that combining extensive behavioral data sets offers for a better understanding of collective human behavior in domestic stock market.

• Journal of the Korea Safety Management & Science
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• v.5 no.1
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• pp.13-31
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• 2003

This provided a basic frame to analyze the investment effect on the road, railroad, airport and port as a national dimension but it still has a limitation to analyze the specific economic and financial validities to consider the characteristics of the traffic facilities within the area. Conclusively, the aims of this study provide the reasonable evaluation guidelines effectively to the local automatic groups, especially Chungju in the frame of the present evaluation guidelines. We provide the adaptive alternatives on the present systems which are difficult to adapt to the present investment evaluation guidelines; the estimation method of the social economic index and the estimation method of the traffic demand. Additionally, we discuss the research method of the passage actual state for a reasonable estimation of the traffic demand. The result of this study will be activated for the validity check and construction plan of the reasonable traffic investment plan of Chungju city.

• Asian Journal of Innovation and Policy
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• v.12 no.2
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• pp.200-215
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• 2023

The purpose of this paper is to analyze the Korean government's investment priorities for the establishment of a supercomputer joint utilization system using AHP. The AHP model was designed as a two-layered structure consisting of two areas of specialized infrastructure, a one-stop joint utilization system service, and four evaluation items for detailed tasks. For the weight of each evaluation item, a cost efficiency index considering the annual budget was developed for the first time and applied to the weight calculation process. AHP analysis conducted a survey targeting supercomputer experts and derived priorities with 22 data that had completed reliability verification. As a result of the analysis, the government's investment priority was high in the order of dividing infrastructure for each Specialized Center and building resources in stages. In the future, the analysis results will be used to select economic promotion plans and prepare strategies for the establishment of the government's supercomputer joint utilization system.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2002.05a
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• pp.1014-1023
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• 2002

This study discusses the prior researches on concepts regarding the analysis of IT investment effect in an organization as proposed from academic and professional perspectives. In addition, we looked at the possible issues that fan arise from implementation stage based on the example of development of IT investment management process at Company A. This study makes contribution in examining the potential issues and their relevant solutions when implementing the management process/system of If investment based on the case of Company A. At Company A, there is much knowledge that Is being adopted directly from suggested principles of the academic and professional fields as employee needs and requirements are met in advance. But, there is customized knowledge as well in order to best describe the specific situation. We partly try to distinguish the concepts and realities by understanding the core issues involving the IT investment management process/system and make practical suggestions for the companies that plan to implement the efficient IT investment management process/system in the future.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.42 no.2
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• pp.62-68
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• 2019

The growth and employment effects of R&D investment were analyzed according to business size, export value and manufacturing sectors so as to suggest improvement directions for effective industry policies. The effect of R&D investment was considered simultaneously from the two perspectives of growth and employment effect, and the causality analysis was carried out by using a path analysis. The result of the path analysis confirmed significant differences in the growth effect of R&D investment depending on business size. However, the effect of increasing employment was difficult to obtain statistically significant results for any various combinations of business size and export value. This is a mixture of directions for the effects of R&D investment on employment, which could be due to the failure to consider appropriate time lags between investment and effect. Efficiency analysis by industry sectors confirmed significant differences in efficiency depending on business size, but differences depending on export value were difficult to identify. In order to derive improvement policy by industry sector according to business size and export value, the direction of selective support policy and universal support policy was derived for six industry groups by combining the return to scale in the efficiency analysis and R&D concentration. Hirschman-Herfindahl index is used for calculating R&D concentration.