• Asia pacific journal of information systems
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• 제26권4호
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• pp.526-541
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• 2016

This research aims to examine the predictive power of multiple online stock message boards, namely, NAVER Finance and PAXNET, which are the most popular stock message boards in South Korea, in stock market activities. If predictive power exists, we then compare the predictive power of multiple online stock message boards. To accomplish the research purpose, we constructed a panel data set with close price, volatility, Spell out acronyms at first mention.PER, and number of posts in 40 companies in three months, and conducted a panel vector auto-regression analysis. The analysis results showed that the number of posts could predict stock market activities. In NAVER Finance, previous number of posts positively influenced volatility on the day. In PAXNET, previous number of posts positively influenced close price, volatility, and PER on the day. Second, we confirmed a difference in the prediction power for stock market activities between multiple online stock message boards. This research is limited by the fact that it only considered 40 companies and three stock market activities. Nevertheless, we found correlation between online stock message board and stock market activities and provided practical implications. We suggest that investors need to focus on specific online message boards to find interesting stock market activities.

• Asia pacific journal of information systems
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• 제24권4호
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• pp.559-575
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• 2014

Individual investors are increasingly flocking to message boards to seek, clarify, and exchange information. Businesses like Seekingalpha.com and business magazines like Fortune are evaluating, synthesizing, and reporting the comments made on message boards or blogs. In March of 2012, Yahoo! Finance Message Boards recorded 45 million unique visitors per month followed by AOL Money and Finance (19.8 million), and Google Finance (1.6 million) [McIntyre, 2012]. Previous studies in the finance literature suggest that online communities often provide more accurate information than analyst forecasts [Bagnoli et al., 1999; Clarkson et al., 2006]. Some studies empirically show that the volume of posts in online communities have a positive relationship with market activities (e.g., trading volumes) [Antweiler and Frank, 2004; Bagnoli et al., 1999; Das and Chen, 2007; Tumarkin and Whitelaw, 2001]. The findings indicate that information in online communities does impact investors' investment decisions and trading behaviors. However, research explicating the correlation between information on online communities and stock market activities (e.g., trading volume) is still evolving. Thus, it is important to ask whether a volume of posts on online communities influences trading volumes and whether trading volumes also influence these communities. Online stock message boards offer two different types of information, which can be explained using an economic and a psychological perspective. From a purely economic perspective, one would expect that stock message boards would have a beneficial effect, since they provide timely information at a much lower cost [Bagnoli et al., 1999; Clarkson et al., 2006; Birchler and Butler, 2007]. This indicates that information in stock message boards may provide valuable information investors can use to predict stock market activities and thus may use to make better investment decisions. On the other hand, psychological studies have shown that stock message boards may not necessarily make investors more informed. The related literature argues that confirmation bias causes investors to seek other investors with the same opinions on these stock message boards [Chen and Gu, 2009; Park et al., 2013]. For example, investors may want to share their painful investment experiences with others on stock message boards and are relieved to find they are not alone. In this case, the information on these stock message boards mainly reflects past experience or past information and not valuable and predictable information for market activities. This study thus investigates the two roles of stock message boards-providing valuable information to make future investment decisions or sharing past experiences that reflect mainly investors' painful or boastful stories. If stock message boards do provide valuable information for stock investment decisions, then investors will use this information and thereby influence stock market activities (e.g., trading volume). On the contrary, if investors made investment decisions and visit stock message boards later, they will mainly share their past experiences with others. In this case, past activities in the stock market will influence the stock message boards. These arguments indicate that there is a correlation between information posted on stock message boards and stock market activities. The previous literature has examined the impact of stock sentiments or the number of posts on stock market activities (e.g., trading volume, volatility, stock prices). However, the studies related to stock sentiments found it difficult to obtain significant results. It is not easy to identify useful information among the millions of posts, many of which can be just noise. As a result, the overall sentiments of stock message boards often carry little information for future stock movements [Das and Chen, 2001; Antweiler and Frank, 2004]. This study notes that as a dependent variable, trading volume is more reliable for capturing the effect of stock message board activities. The finance literature argues that trading volume is an indicator of stock price movements [Das et al., 2005; Das and Chen, 2007]. In this regard, this study investigates the correlation between a number of posts (information on stock message boards) and trading volume (stock market activity). We collected about 100,000 messages of 40 companies at KOSPI (Korea Composite Stock Price Index) from Paxnet, the most popular Korean online stock message board. The messages we collected were divided into in-trading and after-trading hours to examine the correlation between the numbers of posts and trading volumes in detail. Also we collected the volume of the stock of the 40 companies. The vector regression analysis and the granger causality test, 3SLS analysis were performed on our panel data sets. We found that the number of posts on online stock message boards is positively related to prior stock trade volume. Also, we found that the impact of the number of posts on stock trading volumes is not statistically significant. Also, we empirically showed the correlation between stock trading volumes and the number of posts on stock message boards. The results of this study contribute to the IS and finance literature in that we identified online stock message board's two roles. Also, this study suggests that stock trading managers should carefully monitor information on stock message boards to understand stock market activities in advance.

• The Journal of Asian Finance, Economics and Business
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• 제7권10호
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• pp.629-639
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• 2020

The current study explains how corruption, terrorism, political stability and oil price has an effect on on the Iraq stock exchange utilizing corruption perception index as a proxy of corruption, global terrorism index as proxy for terrorism, political stability and oil price with ISX60 index as proxy of stock market for the period (2005-2019) using Ordinary Least Square method. The results show that the level of corruption, terrorism activities and political stability coefficient is significantly positive with Iraq stock exchange. In contrast, the oil price coefficient is significantly negative with Iraq stock exchange, which means that lower levels of corruption, less terrorism activities and more stability in political system have strong influence on stock market development in Iraq. The study concludes that the explanatory variables are important for Iraq stock exchange. Hence, the study suggests the policy makers to develop stock market by implementing policies and strategies to overcome high level of corruption, terrorism activities especially after ISIS/ISIL announcement has been made public. There is a need for transparency and creating stable political environment through good governance practices in order to attract more foreign investment and promote economic development. Factors like terrorism and corruption make economic and political systems unstable and has an adverse effect on on Iraq's stock exchange performance.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2007년도 추계학술대회 논문집
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• pp.167-171
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• 2007

For ensuing rolling stock safety, it is necessary that safety management should be made systematically through its whole life cycle. That is to say, safety management activities for every steps of rolling stock life cycle should be defined, and the roles of managers such as executor, assessor, and certificator should be shared clearly. This paper defines the safety management activities based on IEC 62278, analyzing foreign and domestic safety regulation systems, and suggests the reformed safety management system for rolling stock in Korea

• 한국식품영양학회지
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• 제30권4호
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• pp.742-748
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• 2017

This research aimed to improve the healthy properties of puffer fish broth, which has been utilized in Korean and Japanese food. Various healthy foods such as garlic, onion, mushroom, and cauliflower were added as ingredients to pufffer fish stock, and the antioxidative activity of each stock was measured by assaying the DPPH and ABTS radical scavenging activities, reducing power and amount of polyphenol. Shiitake was the most effective in increasing the antioxidative activity of puffer fish stock. The high antioxidative activity of shiitake mushroom seems to be correlated with the amount of polyphenol content in puffer fish broth. The antioxidant activities of puffer fish stock increased proportionally with increasing amount of added shiitake, which in turn was due to the increased amount of total polyphenol in the stock.

• International Journal of Computer Science & Network Security
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• 제22권2호
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• pp.1-8
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• 2022

This work provides a reliable and classified stocks dataset merged with Saudi stock news. This dataset allows researchers to analyze and better understand the realities, impacts, and relationships between stock news and stock fluctuations. The data were collected from the Saudi stock market via the Corporate News (CN) and Historical Data Stocks (HDS) datasets. As their names suggest, CN contains news, and HDS provides information concerning how stock values change over time. Both datasets cover the period from 2011 to 2019, have 30,098 rows, and have 16 variables-four of which they share and 12 of which differ. Therefore, the combined dataset presented here includes 30,098 published news pieces and information about stock fluctuations across nine years. Stock news polarity has been interpreted in various ways by native Arabic speakers associated with the stock domain. Therefore, this polarity was categorized manually based on Arabic semantics. As the Saudi stock market massively contributes to the international economy, this dataset is essential for stock investors and analyzers. The dataset has been prepared for educational and scientific purposes, motivated by the scarcity of data describing the impact of Saudi stock news on stock activities. It will, therefore, be useful across many sectors, including stock market analytics, data mining, statistics, machine learning, and deep learning. The data evaluation is applied by testing the data distribution of the categories and the sentiment prediction-the data distribution over classes and sentiment prediction accuracy. The results show that the data distribution of the polarity over sectors is considered a balanced distribution. The NB model is developed to evaluate the data quality based on sentiment classification, proving the data reliability by achieving 68% accuracy. So, the data evaluation results ensure dataset reliability, readiness, and high quality for any usage.

• The Journal of Asian Finance, Economics and Business
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• 제7권5호
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• pp.19-29
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• 2020

The paper examines the impact of information about cash flow from operating activities of firms listed on Vietnam's stock market to the decision making of individual investors. Data were collected from interviews with 160 individual investors about their investment decisions based on information on profit growth and cash flow growth from operating activities. T-test was conducted to research on Vietnam's stock market - a market considered as information that is not really public, transparent and ineffective. The research results show that: (1) investors do not care about cash flow from operating activities when making investment decisions if the company's profits grow positively, (2) information about cash flow from operating activities only affects the decisions of individual investors once profit growth is negative, and (3) conflicting information between profit growth and cash flow growth from business activities significantly affects the confidence and comfort of investors in Vietnam's stock market when they make investment decisions. Then, the study points out the mistake of investors when making investment decisions, and offers recommendations to investors when making investment decisions, not only concerned with profit growth, but also paying special attention to cash flow growth, especially cash flow from the company's business operations.

• 노동경제논집
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• 제34권1호
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• pp.33-69
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• 2011

본 연구는 기업수준에서 교육훈련스톡, 연구개발스톡, 특허출원스톡 추계를 통하여 교육훈련활동과 연구개발활동의 생산성 효과에 대하여 분석한다. 특히 교육훈련투자를 스톡으로 구축하여 추정에 이용함으로써 숙련의 자산성을 분석에 반영하였다. 교육훈련투자의 파급효과 분석시 기술적 근접도를 이용한 것과 동적패널 분석을 이용하여 장단기 효과를 구분한 것 역시 방법론상의 새로운 시도이다. 분석 결과, 교육훈련투자의 생산성 효과는 연구개발투자에 비해 상대적으로 더 큰 것으로 나타났다. 교육훈련활동과 연구개발 활동은 자체효과뿐만 아니라 파급효과와 장기효과를 통해 기업의 생산성에 큰 영향을 미친다.

• 재무관리연구
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• 제26권4호
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• pp.63-81
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• 2009

논문은 주식가격의 변동성과 거시경제변수 및 파생상품거래와의 관계를 실증적으로 분석한다. 이전 연구들에서 밝혀진 바와 같이 주식수익률의 변동성은 거시 경제변수의 변동성에 비해 훨씬 크게 나타날 뿐 아니라, 변수의 설명력도 약해서 거시경제변수-주식가격 변동성의 이론적 관계를 확인하기에 충분하지 않다. 1980년 이후의 한국 데이터를 사용한 분석의 결과도 이런 결과를 확인해 준다. 그러나 이들 결과는 금융활동 변수들이 누락되었기 때문일 수 있다. 이 논문은 특히 파생상품 거래의 변동성이 주식수익률 변동성을 상당 부분 설명할 수 있을 뿐 아니라, 거시경제 변수의 설명력도 복원시킬 수 있음을 확인해준다.

• 한국건설관리학회논문집
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• 제8권2호
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• pp.101-108
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• 2007

최근 많은 기업들이 IR활동을 진행하고 있는 상황에서 건설기업들 또한 IR활동을 추진하고 있거나, 활동을 진행하려 하고 있는데 과연 IR활동이 투자자들과 자본 조달을 위해 IR을 수행하는 건설기업들에게 정(+)의 영향을 미치고 있는지 파악하기 위해 주식가격과 IR활동간의 상관관계에 대해 분석해 본 후, IR활동 형태가 주식가격에 미치는 영향에 대한 실증분석을 실시하려 한다. 이를 위해 IR활동에 대한 국내 외 논문을 살펴보고 전문가에 인터뷰를 통해 IR활동 공시에 따라 주가는 상승할 것이란 가설과 해외 투자자를 대상으로 한 IR은 국내 투자자를 대상으로 한 IR보다 성과가 크게 나타날 것이란 가설을 세우고, 이 2가지 가설에 검증 통해 다음과 같은 결과를 도출하였는데, 첫째, 건설기업의 IR활동은 주가에 정(+)의 영향을 주고 있는 것으로 나타나고 있으며, 둘째, 국내, 국내 외 대상으로 하는 IR활동 보다는 해외대상으로 하는 IR활동이 효과가 더 큰 것으로 나타나고 있으며, 셋째, 국내대상으로 하는 IR활동은 해외대상으로 하는 IR활동보다는 큰 효과는 아니지만, 정(+)에 효과가 있는 것으로 나타나고 있다. 이런 연구 결과들을 통해 건설기업은 보다 활발한 IR활동을 추진하여 투자자들에게 신뢰를 줌으로써 자본조달과 기업이 미지제고에 효과를 볼 것으로 본다.