• Title/Summary/Keyword: Stock Activities

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Competition between Online Stock Message Boards in Predictive Power: Focused on Multiple Online Stock Message Boards

  • Kim, Hyun Mo;Park, Jae Hong
    • Asia pacific journal of information systems
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    • v.26 no.4
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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.

A Study about the Correlation between Information on Stock Message Boards and Stock Market Activity (온라인 주식게시판 정보와 주식시장 활동에 관한 상관관계 연구)

  • Kim, Hyun Mo;Yoon, Ho Young;Soh, Ry;Park, Jae Hong
    • Asia pacific journal of information systems
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    • v.24 no.4
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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.

Corruption, Terrorism and the Stock Market: The Evidence from Iraq

  • ASAAD, Zeravan Abdulmuhsen;MARANE, Bayar MohamedRasheed
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.10
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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.

A Study on Safety Management System for Rolling Stock (철도차량 안전관리체계에 대한 연구)

  • Lee, Kwan-Sup
    • Proceedings of the KSR Conference
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    • 2007.11a
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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

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The Effect of Added Shiitake Mushroom on Antioxidative Activity of Puffer Fish Stock (표고버섯 첨가가 복어육수의 항산화 활성에 미치는 영향)

  • Kim, Gye Yeong;Park, Inshik;Kim, Sung Hun
    • The Korean Journal of Food And Nutrition
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    • v.30 no.4
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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.

Stock News Dataset Quality Assessment by Evaluating the Data Distribution and the Sentiment Prediction

  • Alasmari, Eman;Hamdy, Mohamed;Alyoubi, Khaled H.;Alotaibi, Fahd Saleh
    • International Journal of Computer Science & Network Security
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    • v.22 no.2
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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 Impact of Operating Cash Flow in Decision-Making of Individual Investors in Vietnam's Stock Market

  • NGUYEN, Dung Duc;NGUYEN, Cong Van
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.5
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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.

Productivity Effect by Activities in Education & Training and Research & Development after Financial Crisis: An Analysis using the Estimate of E&T Stock (외환위기 이후 기업의 교육훈련활동과 연구개발활동의 생산성 효과: 교육훈련스톡 추계치를 이용한 분석)

  • Ban, Ga Woon
    • Journal of Labour Economics
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    • v.34 no.1
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    • pp.33-69
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    • 2011
  • This study analyses a productivity effect by E&T and R&D activities via estimation of E&T stock, R&D stock, and patent stock in a corporate level. Particularly, the analysis reflects the effects of skilled training after estimating E&T stock from E&T flow. When a spillover effect of E&T is analyzed, a methodology using technical proximity concept becomes a new experiment. Also classifying long and short term effects from the usage of Dynamic Panel Data Analysis becomes a new trial, too. The results of study appear that the productivity effects from E&T investments are relatively lager than R&D investments. Through spillover effects and long-term effects E&T and R&D activities have a strong influence on the corporate's productivity.

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Stock Volatility and Derivative Trading (주가 변동성과 파생상품거래)

  • Jaang, Dae-Hong
    • The Korean Journal of Financial Management
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    • v.26 no.4
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    • pp.63-81
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    • 2009
  • This paper empirically examines the relation between stock volatility and volatilities of macroeconomic variables and financial derivative trading. Previous studies have shown that stock volatility has been much greater than volatilities of macroeconomic variables, and their explanatory powers are too weak to confirm hypothesized theoretical relation between stock volatility and macroeconomic volatilities. The test for the relation using Korean data since 1980 verified such a finding. It is argued that this may have been the result from omitting the influence of financial activities on stock volatility. In particular, this paper demonstrates that, by including the volatility of financial derivative trading, stock volatility-macroeconomic volatility relation can not only be explained better, but also the hypothesized significance of macroeconomic volatilities can be restored.

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An empirical Study on Effects that IR activities of construction manufacturers cause to stock prices (건설기업의 IR(투자자관계)활동이 주가에 미치는 영향에 관한 연구)

  • Jung, Kyung-Taek;Yoon, Ja-Young;Kim, Jae-Jun;Choi, In-Sig
    • Korean Journal of Construction Engineering and Management
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    • v.8 no.2
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    • pp.101-108
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    • 2007
  • Currently construction corporations also is whether executing or planning IR activities as other corporation do. We will analyze correlation between stock price and IR activities and execute actual analysis of how IR activities influence stock price in order to identify positive influence of IR activities on Construction Corporations which are executing IR activities for raising capital and investors. We make two hypothesizes through searching thesis and interviewing experts. Two hypothesizes are as follows. First of all, stock price will increase in terms of public of IR activities. Second of all, IR activities targeted on domestic investors will be very successful. We deduce conclusions through verifying two hypothesizes. Conclusions are as follows. First of all, IR activities of construction corporations influence stock price positively. Second of all, IR activities targeted on international are more effective than on domestic Third of all, even though IR activities targeted on domestic is less effective than on international, it is indicated that it have positive influences. Construction corporations give investors frostiness and then will expect to raise capital and renew $its^{\circ}{\phi}$ imageby well executing IR activities.