• 한국경영과학회지
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• 제39권4호
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• pp.33-49
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• 2014

This study empirically examines the impact of firms' environmental (E), social (S), and governancial (G) factors on their short-term and long-term values. To measure firms' non-financial performance, we use ESG performance grades published by KCGS (Korea Corporate Governance Service). We employ stock log return as the proxy of each firm's short-term value, and Tobin's Q ratio as that of its long-term value. From a series of regression analyses, we find each of the ESG factors generally has a negative impact on stock return while it has a positive impact on the Tobin's Q ratio. These results imply that firms' effort for enhancing their non-financial performance may adversely affect their financial performance in a short term; but in the long-term point of view, firms' values increase through their good images engraved by their respective social, environmental and governancial efforts. In addition, we compare the relative strength of impact among E, S, G, the three non-financial factors on the firms' value measured in Tobin's Q ratio, and find that S (social factor) and G (governancial factor) give statistically significant impact on the firms' value respectively. This result tells us it would be advised to strategically embed CSV (creating shared value) pursuing both of profits and social responsibility in the firms' future agenda. While E (environmental factor) is shown to be an insignificant factor for the firms' value, it should be emphasized as a major concern by all the stakeholders in order to form a sound business ecosystem.

• 산업경영시스템학회지
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• 제39권4호
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• pp.26-39
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• 2016

Korea's main manufacturing industries, which have led its economy for the past three decades, are faced with a serious downturn and loss of competitive advantages due to the current economic depression, China's rise, and the drop of oil prices. Korean business firms must adopt the paradigm shift in their value strategies, along with a government-led industrial restructuring in order to gain sustainable competitive advantages. Business firms allocate their limited resources between value creation and value appropriation, however, what effect does strategic emphasis on value creation versus value appropriation have on a business firm's financial performance? This paper empirically addresses this issue by examining the effect of shifts in strategic emphasis on stock return. Furthermore, this study examines appropriate choices of strategic emphasis to gain differential financial performance. The data set used in this regression analysis comes from the KISLINE database of NICE Information Service. The variables that form the basis of this analysis are stock return, ROA, and Strategic Emphasis [(advertising expenditures-R&D expenditures)/assets]. The interactive effect with situational factors regarding the firm and the type of technological environment in which the firm is operating was also analyzed. Our results show that investors acknowledge a shift of strategic emphasis as a sign of stock valuation. In comparison to US, Korean business firms have weak value creation capabilities in high-technology industries, and weak value appropriation capabilities in low-technology industries. This proves Korean firms are fast followers in the global market. Our findings suggest that Korean firms have to adopt a balanced value strategy, nurturing value creation and developing value appropriation for overcoming the current economic downturn and becoming a first mover in the dawn of "Industry 4.0."

• 한국정보기술응용학회:학술대회논문집
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• 한국정보기술응용학회 2007년도 추계 국제학술대회
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• pp.142-142
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• 2007

• 동아시아식생활학회지
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• 제21권2호
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• pp.263-271
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• 2011

This study was performed to develop duck stock using various nutritional elements in duck bone by the addition of malic acid (0.5%, 1.0%, 1.5% and 2.0%). Moisture contents, b value, and pH were decreased, while the L value, a value, salinity, and sugar contents were increased by increasing the ratio of malic acid. Thirty four types of free amino acid were detected, and the highest individual amino acid content was 1.0%. In a test for different attributes, malic acid content significantly affected properties including color intensity, transparency, acid flavor, savory flavor, acid taste, and savory taste. In the acceptance test, a malic content of 1.0% was preferred for appearance, taste, and overall quality. The optimal malic acid content for maximizing the overall quality of duck stock was 1.0%.

• 한국빅데이터학회지
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• 제4권2호
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• pp.1-12
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• 2019

인공지능 기술이 발전하면서 이미지, 음성, 텍스트 등 다양한 분야에 적용되고 있으며, 데이터가 충분한 경우 기존 기법들에 비해 좋은 결과를 보인다. 주식시장은 경제, 정치와 같은 많은 변수에 의해 영향을 받기 때문에, 주식 가격의 움직임 예측은 어려운 과제로 알려져 있다. 다양한 기계학습 기법과 인공지능 기법을 이용하여 주가 패턴을 연구하여 주가의 등락을 예측하려는 시도가 있어왔다. 본 연구는 딥러닝 기법 중 컨볼루셔널 뉴럴 네트워크(CNN)를 기반으로 주가 패턴 예측률 향상을 위한 데이터 증강 방안을 제안한다. CNN은 컨볼루셔널 계층을 통해 이미지에서 특징을 추출하여 뉴럴 네트워크를 이용하여 이미지를 분류한다. 따라서, 본 연구는 주식 데이터를 캔들스틱 차트 이미지로 만들어 CNN을 통해 패턴을 예측하고 분류하고자 한다. 딥러닝은 다량의 데이터가 필요하기에, 주식 차트 이미지에 다양한 데이터 증강(Data Augmentation) 방안을 적용하여 분류 정확도를 향상 시키는 방법을 제안한다. 데이터 증강 방안으로는 차트를 랜덤하게 변경하는 방안과 차트에 가우시안 노이즈를 적용하여 추가 데이터를 생성하였으며, 추가 생성된 데이터를 활용하여 학습하고 테스트 집합에 대한 분류 정확도를 비교하였다. 랜덤하게 차트를 변경하여 데이터를 증강시킨 경우의 분류 정확도는 79.92%였고, 가우시안 노이즈를 적용하여 생성된 데이터를 가지고 학습한 경우의 분류 정확도는 80.98%이었다. 주가의 다음날 상승/하락으로 분류하는 경우에는 60분 단위 캔들 차트가 82.60%의 정확도를 기록하였다.

• 한국시스템다이내믹스연구
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• 제8권2호
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• pp.175-190
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• 2007

Stock market volatility largely depends on firms' value and growth opportunities. However, with the globalization of world economy, the effect of the synchronization in major countries is gaining its importance. Also, domestically, the business cycle and cash market of the country are additional factors needed to be considered. The main purpose of this research is to attest the application and usefulness of System Dynamics as a general stock market forecasting tool. Throughout this research, System Dynamics suggests a conceptual model for forecasting a KOSPI(Korea Composite Stock Price Index), taking the factors of the composite stock price indexes in traditional researches. In conclusion of this research, System Dynamics was proved to bean appropriate model for forecasting the volatility and direction of a stock market as a whole. With its timely adaptability, System Dynamic overcomes the limit of traditional statistic models.

• The Journal of Asian Finance, Economics and Business
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• 제8권7호
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• pp.375-381
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• 2021

Underpricing signifies that IPO share prices do not reflect the fundamental value of the listed company. Corporate governance plays an essential role in IPOs where the board of directors, the independent board of directors, and the board of supervisors are significant elements of accurate share pricing. The study investigates the underpricing phenomena and short-term performance of the IPO companies during the listing process in the Ho Chi Minh Stock Exchange (HOSE). The work outcomes illustrate the role of the corporate organizational structure in the period of the IPO process that may attract potential investors. The hypothesis testing is conducted with a multiple regression model including 100 observations from enterprises doing IPO listed on HOSE. The study results generate signals for the investors and regulators that the board of directors holds a strong negative influence on the underpricing process. Secondly, the level of the independent board of directors and stock exchange in itself has no significant impact on the underpricing process. Underpricing is one of the many anomalies of the stock exchanges that provide wrong signals for the market participants. Identifying stock prices that reflect their intrinsic value is an ongoing debate among scholars, investors, and other market participants.

• 산업경영시스템학회지
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• 제41권3호
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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.

• The Journal of Asian Finance, Economics and Business
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• 제8권1호
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• pp.1-6
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• 2021

This research examines the stock market index determinants and the prediction using the FFT curve fitting of the Jakarta Stock Exchange (JKSE) Composite Index during the COVID-19 pandemic. This paper has used daily data of Jakarta Stock Exchange (JKSE) Composite Index, interest rate, and exchange rate from 15 October 2019 to 15 September 2020, and a total of 224 observations, retrieved from Indonesia Stock Exchange (IDX), Indonesia Statistics Central Bureau and Observation & Research of Taxation. The study covers descriptive statistics, multicollinearity test, hypothesis tests, determination test, and prediction using FFT curve fitting. The results unveil four fresh and robust evidence. Partially, the interest rate has affected positively and significantly the stock market index. Partially, the exchange rate has affected negatively and significantly the stock market index. The F-test result, interest rate, and exchange rate have significantly affected the stock market index (JKSE) simultaneously. Furthermore, the FFT curve fitting has predicted that the stock market fluctuates and increases over time. The results have shown a strong influence of the independent variables and the dependent variable. The value of Adjusted R-Square is 0.719, which means that the independent variables have simultaneously impacted the dependent variable for 71.9%; other factors have influenced the remaining 28.1%.

• 한국산학기술학회논문지
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• 제16권9호
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• pp.5982-5988
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• 2015

본 연구는 주식의 격언이 주식 투자자의 투자 행동에 영향을 미치는 지에 대한 연구로서 주식 시장에서 오랜 시간 사용되어 온 주식 격언을 투자자들이 알고 있는 지를 확인하고, 주식 투자자가 이러한 내용을 실제 투자 과정에 적용 하는지 그리고 그 적용이 투자 성과에 영향을 미치는 지를 분석하였다. 이를 위하여 본 연구에서는 주식시장에서 활용되고 있고, 주식과련 문헌에 자주 인용되는 투자 원칙, 분산 투자, 종목 선정, 매수 매도 시점 및 주가 동향에 관한 총 29개의 주식 격언을 선정하여 191명의 주식 투자자들에게 설문 조사를 실시하고 그 결과를 분석하였다. 분석 결과 14%의 투자자들이 주식 격언을 적용하여 투자하고 이를 통하여 수익을 창출하는 것을 확인하였다. 본 연구 및 결과를 통하여 주식 시장과 주식 투자자들이 분석된 주식 격언 통계를 활용하여 주식 투자에 적용하여 도움 되기를 기대한다.