• Journal of the Korea Society of Computer and Information
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• v.28 no.8
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• pp.59-66
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• 2023

The Golden Cross is commonly seen as a buy signal in financial markets, but its reliability for predicting stock price movements is limited due to market volatility. This paper introduces a time-invariant approach that considers the Golden Cross as a singular event. Utilizing LSTM neural networks, we forecast significant stock price changes following a Golden Cross occurrence. By comparing our approach with traditional time series analysis and using a confusion matrix for classification, we demonstrate its effectiveness in predicting post-event stock price trends. To conclude, this study proposes a model with a precision of 83%. By utilizing the model, investors can alleviate potential losses, rather than making buy decisions under all circumstances following a Golden Cross event.

• Journal of Global Scholars of Marketing Science
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• v.8
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• pp.341-373
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• 2001

Firms are confronting the age of an infinite competition. In order to respond to the rapidly changing business environment and make a success and survival in the international and domestic securities market, firms must take a consideration on the stockholders value-oriented philosophy which has greatly contributed not only to the maximization of corporate profits but also to the stability of financial markets. To pursue stockholders value-oriented philosophy, a firm should build strong relationship with investors by providing exact information of firm's state, financial statement, management policy. Stockholders value-oriented philosophy contributes to long-term growth and development of the firm as well as efficient equity financing and friendship with stockholder. IR is the key factor to attain successful implementation of company's objective. It should be equipped with the most suitable organization and qualified man-power for IR activities. The purpose of this study was to examine the relationship between IR and relationship marketing management. Strategic implications of this study are as follows: First, This study provides a new explanations of IR activities in Relationship Marketing Management. Second, IR activities were key determinants of Trust and Commitment. That means the more a firm does IR activities, the more Trust and Commitment a firm has for their investors. Third, The variables of trust and commitment are highly related to marketing and financial success. IR have a positive effect on a company total value and its cost of capital relative to that of the overall market.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.3
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• pp.79-85
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• 2016

In today's fast-paced capitalistic society, a primary concern is whether to invest capital in any way to increase profits. In recent years, many companies have emphasized ethics and practiced corporate social responsibility activities. These activities are not only required to have at the end of the company. Bringing the ultimate goal of profit maximization is one way to contribute to the development of society and the economy. Investors are aware of corporate social responsibility activities and have begun to reflect this in their investments. We studied the behavior of a newly incorporated company's stock price on the KRX SRI Index using a scale that indicates the level of social responsibility for companies in the domestic stock market. Socially responsible investment involves an excellent company that looks out and looks for additional effects on the stock price of imports and improves the reliability of investors through an event study. The results show that the company we examined has a positive impact on the market. This study confirms the hypothesis that additional stock market reaction will occur when superior companies are newly incorporated in the KRX SRI Index and gain investors' trust. The results demonstrate that becoming a newly incorporated corporation in the KRX SRI Index is positive information to investors.

• Knowledge Management Research
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• v.21 no.3
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• pp.229-247
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• 2020

In the remarkable growth of P2P financial platform in the field of knowledge management, only companies with big data and machine learning technologies are surviving in fierce competition. The ability to analyze borrowers' credit is most important, and platform companies are also recognizing this capability as the most important business asset, so they are building a credit evaluation system based on artificial intelligence. Nonetheless, online P2P platform providers that offer related services only act as intermediaries to apply for investors and borrowers, and all the risks associated with the investments are attributable to investors. For investors, the only way to verify the safety of investment products depends on the reputation of P2P companies from newspaper and online website. Time series information such as delinquency rate is not enough to evaluate the early stage of Korean P2P makers' credit analysis capability. This study examines the credit analysis procedure of P2P loan platform using artificial intelligence through the case analysis method for well known the top three companies that are focusing on the credit lending market and the kinds of information data to use. Through this, we will improve the understanding of credit analysis techniques through artificial intelligence, and try to examine limitations of credit analysis methods through artificial intelligence.

• The Korean Journal of Financial Management
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• v.21 no.1
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• pp.1-32
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• 2004

This paper investigates the stock price and the volume behavior on the ex-dividend day using the December fiscal year firms listed on the Korea Stock Exchange from 1998 to 2000. Using the samples of voluntarily preannounced dividend-raying firms prior to the end of fiscal you, this study corrects the major limitations on previous studies -Kim, S. (1997) and Kim, S. (2003)- which were based on the perfect foresight assumption for firms' upcoming dividends. Also, this paper examines the information content of dividend more properly, since the preannounced date for the upcoming dividend payment is employed for the first time as the event date. Empirical results show that the announcement effects of cash and/or stock dividend is significant around the event date. The ex-dividend day stock returns are negative as expected for the samples of voluntarily preannounced cash dividend-paying firms.

• The Journal of the Convergence on Culture Technology
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• v.9 no.3
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• pp.75-79
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• 2023

ESG management means to thoroughly consider the investor's perspective when evaluating corporate value, and environmental, social, and governance issues are continuous and strategic monitoring issues in identifying risk and opportunity factors related to corporate management activities. In other words, the perspective of value creation is reflected in business relationships. The fundamental purpose of ESG management is continuous business value creation and thorough management of investment risks and business transactions in contractual relationships. It is also a requirement of linked investors. The field that Korean companies are currently experiencing the most is the recognition that 'ESG information collection is necessary and maintenance must be prioritized' in investor IR and global sales and marketing departments, and the primary need for this is emerging. In addition, as the legal affairs office, environmental safety department, and human resources department, which conduct compliance management, carry out related tasks, clarity at the organizational level must precede in order to properly establish an information integration and management system. It covers the scope of securing new market opportunities such as management, disclosure and communication. Therefore, in regard to the newly emerging ESG management and response methods, it is necessary to review and implement it repeatedly so that sustainable exchange profits can be created by simultaneously managing non-financial risks as well as efforts to enhance corporate value for financial returns.

• Electronics and Telecommunications Trends
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• v.15 no.6 s.66
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• pp.94-102
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• 2000

지난 5월 18일 중국과 유럽연합이 중국의 WTO 가입 협상을 최종 마무리함으로써 중국의 WTO 가입은 기정사실화 되었다. 중국의 WTO 가입은 중국 산업에 많은 변화를 가져오게 될 것이다. 인터넷 서비스를 포함한 부가통신서비스 산업에서의 변화는 다른 어떤 산업보다 더욱 심할 것으로 보인다. 현재 중국의 IT 산업은 전반적으로 낙후된 실정에 있다. 따라서, 중국 정부는 WTO 가입에 따른 자국 IT 산업을 보호하고, 육성시키기 위한 정책을 지속적으로 추구하고 있는 실정이다. 특히, 전자상거래를 21세기 정보사회 경제활동의 중요한 요인 중 하나로 인식하여 전자상거래를 활성화할 수 있는 정책을 마련하고 있다. 더불어 중국 전자상거래 분야의 경우 아직 초보단계에 머물고 있어 많은 부분들에 외국 투자가들의 지원을 받아야 할 실정이므로 중국 정부가 외국 투자자들을 유인하기 위한 정책을 펼칠 것으로 예상된다. 본 고에서는 이러한 관점에서 중국의 전자상거래 현황과 향후 시장 전망에 대해 살펴보기로 한다.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.14 no.1
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• pp.101-116
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• 2019

Technology-based start-up is important in that it encourages innovation, facilitates the development of new products and services, and contributes to job creation. Technology-based start-up activates entrepreneurship when appropriate support is provided within the ecosystem. Thus, understanding the technology-based start-up ecosystem is crucial. The purpose of this study is as follows. First, in Herrmann et al.'s(2015) study, we compare and analyze the ecosystem of each country by selecting representative regions such as Silicon Valley, Tel Aviv, London and Singapore which have the highest ranking in the start-up ecosystem. Second, we try to deeply understand the start-up ecosystem based on in-depth interviews with various stakeholders such as VC investors, start-ups, support organizations, and professors related to the Korean start-up ecosystem. Finally, based on the results of the study, we suggest development and activation of Korean technology-based start-up ecosystem. As a result, the Seoul start-up ecosystem showed a positive evaluation of government support compared to other advanced countries. In addition, it was confirmed that the ratio of tele-work and start-up company working experience of employees was higher than other countries. On the other hand, in Seoul, It was confirmed that overseas market performance, human resource diversity, attracting investment, hiring technological engineers, and the ratio of female entrepreneurs were lower than those of overseas advanced countries. In addition, according to the results of the interview analysis, Seoul was able to find that start-up ecosystems such as individual angel investors, accelerators, support institution, and media are developing thanks to the government's market-oriented policy support. However, in order for this development to continue, it is necessary to improve the continuous investment system, expansion of diversity, investment return system, and accessibility to the global market. A discussion on this issue is presented.

• Journal of Intelligence and Information Systems
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• v.27 no.1
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• pp.103-128
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• 2021

Recently, investors' interest and the influence of stock-related information dissemination are being considered as significant factors that explain stock returns and volume. Besides, companies that develop, distribute, or utilize innovative new technologies such as artificial intelligence have a problem that it is difficult to accurately predict a company's future stock returns and volatility due to macro-environment and market uncertainty. Market uncertainty is recognized as an obstacle to the activation and spread of artificial intelligence technology, so research is needed to mitigate this. Hence, the purpose of this study is to propose a machine learning model that predicts the volatility of a company's stock price by using the internet search volume of artificial intelligence-related technology keywords as a measure of the interest of investors. To this end, for predicting the stock market, we using the VAR(Vector Auto Regression) and deep neural network LSTM (Long Short-Term Memory). And the stock price prediction performance using keyword search volume is compared according to the technology's social acceptance stage. In addition, we also conduct the analysis of sub-technology of artificial intelligence technology to examine the change in the search volume of detailed technology keywords according to the technology acceptance stage and the effect of interest in specific technology on the stock market forecast. To this end, in this study, the words artificial intelligence, deep learning, machine learning were selected as keywords. Next, we investigated how many keywords each week appeared in online documents for five years from January 1, 2015, to December 31, 2019. The stock price and transaction volume data of KOSDAQ listed companies were also collected and used for analysis. As a result, we found that the keyword search volume for artificial intelligence technology increased as the social acceptance of artificial intelligence technology increased. In particular, starting from AlphaGo Shock, the keyword search volume for artificial intelligence itself and detailed technologies such as machine learning and deep learning appeared to increase. Also, the keyword search volume for artificial intelligence technology increases as the social acceptance stage progresses. It showed high accuracy, and it was confirmed that the acceptance stages showing the best prediction performance were different for each keyword. As a result of stock price prediction based on keyword search volume for each social acceptance stage of artificial intelligence technologies classified in this study, the awareness stage's prediction accuracy was found to be the highest. The prediction accuracy was different according to the keywords used in the stock price prediction model for each social acceptance stage. Therefore, when constructing a stock price prediction model using technology keywords, it is necessary to consider social acceptance of the technology and sub-technology classification. The results of this study provide the following implications. First, to predict the return on investment for companies based on innovative technology, it is most important to capture the recognition stage in which public interest rapidly increases in social acceptance of the technology. Second, the change in keyword search volume and the accuracy of the prediction model varies according to the social acceptance of technology should be considered in developing a Decision Support System for investment such as the big data-based Robo-advisor recently introduced by the financial sector.

• Management & Information Systems Review
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• v.31 no.1
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• pp.221-246
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• 2012

The study examines the effects that non-audit service and firm's ownership structure might have on the value relevance directly or indirectly. This investigation is based on prior research which suggests that the audit firms' non-audit services is likely to adversely affect investors' perceptions of the credibility of financial reporting and that corporate governance are likely to mitigate the adverse this kind of non-audit services effects. The sample consists of non-banking firms listed on the Korea Exchange that reported annual financial statements over the period from 2004 to 2008. In the setting, stock returns as proxy for capital market response, auditor quality(measured as the discretionary accruals) is endogenously determined. This study employs a structural equation model to take into account the endogenous variables under study. The analysis influences through the path analysis that ownership structure suppress the market response through audit quality and also the non-audit service have influence on the market response through audit quality. The results of this study contribute to the literature in the following ways. First, this provides direct evidence that there is a negative association between audit firms' client importance and the value relevance. Second, the findings that the negative association is attenuated for audit quality support the findings of prior studies which present that corporate governance provide higher credibility of financial reports.