• 한국IT서비스학회지
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• 제11권3호
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• pp.191-203
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• 2012

In the stock market, the investors rely on stock information to trade. Good information may stimulate buying, raising the stock prices and the bad information may result in selling, decreasing the stock prices. In terms of the relationship between information and stock prices, stock prices can be viewed as reaction of investors to all the information flowing into the market. The significant increase of web stock news volume is often associated with the significant changes of stock prices. When the web stock news volume for a firm increases significantly, the stock price movement is often oscillatory. This paper attempts to investigate the relationship between volumes of information from Korean web IT and stock prices in Korean stock market. This research shows that when the web stock news volume increases significantly, volatility, trading volumes and rate of returns are increase too. The results of the study provide us with the new clues to the microstructure of the stock market from the perspective of the web news.

• 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.

• 한국철도학회논문집
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• 제13권5호
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• pp.528-534
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• 2010

신성장이론에서 R&D Stock은 노동과 자본 외에 제3의 생산요소이다. 이 관점에서 R&D Stock은 기존의 자본처럼 비용이 투입되어야만 축적이 가능한 자본의 위치를 차지하게 되며 이것을 지식자본이라고 한다. 이러한 지식자본을 향상시키기 위한 노력이 R&D투자이며 이의 축적이 R&D Stock이다. R&D Stock과 총요소생산 성과의 관계를 추정함으로써 경제성장의 기여도, R&D 투자의 수익률 등을 분석한다. 본 논문에서는 철도 R&D 투자에 대한 R&D Stock을 분석하고 기술수준과 비교 한 결과 R&D Stock이 증가하면 기술수준도 비례적으로 증가되었다. 그리고 GDP에 대한 철도산업의 비중과 전 부문에 대한 철도 R&D Stock 비중을 비교한 결과 철도산업의 비중에 비해 철도 R&D Stock 비중이 상대적으로 작아 지속적인 철도 R&D 투자가 필요함을 알 수 있다.

• 산경연구논집
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• 제10권1호
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• pp.29-37
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• 2019

Purpose - We study the dynamic linkages of the economic policy uncertainty (EPU) in the US on the manufacturing stock market returns in Korea. In detail, we examine the casual link between EPU index in the US and the manufacturing stock indexes in Korea. Research design, data, and methodology - We measure mainly the distribution effect of the US EPU on the manufacturing stock market in Korea of 1990-2017 by the vector error correction model (VECM). Result - In result, we estimate the impact of the US EPU index has significantly a negative response to the manufacturing stock market in Korea such as non-metal stock index, chemical stock index, food stock index, textile·clothes stock index, automobile·shipbuilding stock index, machinery stock index, steel·metal stock index. Also the remaining variables such as electric·electronics stock index, S&P 500, and producer price index in Korea have a negative relationship with US EPU index. Conclusions - We find out that the relationship between EPU index of the US and the manufacturing stock market in Korea has the negative relationships. We determine the EPU of the US has the spillover effect on the industry stock markets in Korea.

• 아태비즈니스연구
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• 제14권1호
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• pp.73-91
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• 2023

Purpose - The purpose of this study is to re-examine the disclosure effect of stock splits and long-term performance after stock splits using stock split data over the past 10 years, and infer the motivation (signal or opportunism) of stock splits. In addition, we focus on exploring the determinants of the short- and long-term market response to stock splits. Design/methodology/approach - We measure the short-term market response to a stock split and the long-term stock performance after the stock split announcement using the event study method. We analyze whether there is a difference in the long-term and short-term market response to a stock split according to various company characteristics through univariate analysis and regression analysis. Findings - In the case of the entire sample, a statistically significant positive excess return is observed on the stock split announcement date, and the excess return during the 24-month holding period after the stock split do not show a difference from zero. In particular, the difference between short-term and long-term returns on stock splits is larger in companies with a large stock split ratio, small companies, large growth potential, and companies with a combination of financial events after a stock split. Research implications or Originality - The results of this study suggest that at least the signal hypothesis for a stock split does not hold in the Korean stock market. On the other hand, it suggests that there is a possibility that a stock split can be abused by the manager's opportunistic motive, and that this opportunism can be discriminated depending on the size of the stock split, corporate characteristics, and financing plan.

• Journal of the Korean Data and Information Science Society
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• 제23권6호
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• pp.1075-1084
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• 2012

본 논문은 중국의 상해, 심천, 홍콩증권시장간의 정보이전효과를 연구한 것이다. 세 개의 중국 증권시장은 모두 미국의 증권시장수익률에 강하게 영향을 받는데 그 정도는 개방화가 제일 잘된 홍콩증권시장이 가장 크며 상해증권시장, 심천증권시장의 순으로 영향을 받는 것으로 나타나고 있다. 상해증권시장이나 심천증권시장은 서로 간에 수익률이전효과나 변동성전이효과가 존재하지 않지만 이 두 시장은 모두 홍콩증권시장수익률의 영향을 받는 것으로 나타났다. 하지만 미국증권시장의 움직임을 통제하면 이러한 효과는 사라지게 되어 중국의 증권시장간의 정보이전효과는 존재하지 않는 것으로 나타나고 있다. 이러한 결론은 중국의 세 개의 증권시장이 상호독립적인 성격이 강하다는 것을 의미하며, 중국의 증권시장 연구 시 시장 간의 독립성을 반영해야 할 것으로 생각된다.

• 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.

• Management Science and Financial Engineering
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• 제18권2호
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• pp.1-4
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• 2012

We study optimal trading strategy of a market maker with stock inventory. Following Avellaneda and Stoikov (2008), we assume the stock price follows a normal distribution. However, we take a constant expected rate of the stock return and assume that the stock volatility is an inverse function of the stock price level. We show that the optimal bid-ask spread of the market maker is wider for a higher expected rate of stock returns.

• 한국식품조리과학회지
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• 제15권3호
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• pp.210-215
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• 1999

본 연구는 서양조리에서 가장 보편적으로 사용되는 brown sauce의 주재료인 brown stock을 만들 때 돼지뼈의 이용가능성을 알아보기 위한 것으로서 이화학적 및 관능적 특성을 비교분석하였다. 유리아미노산중 aspartic acid의 함량은 돼지뼈로 만든 brown stock이 0.42mg% 로 돼지뼈와 소뼈로 만든 brown stock의 0.37mg%와 소뼈로 만든 brown stock의 0.18 mg% 보다 높았다. 그리고 glutamic acid, glycine, arginine, proline의 함량은 돼지뼈와 소뼈+돼지뼈로 만든 brown stock이 소뼈로 만든 것보다 많았는데, 유의수준 p<0.05에서 차이를 보였다. 세 종류 brown stock의 무기질 함량을 분석한 결과 K>Na>P의 순이 었고, 돼지뼈로 만든 brown stock의 Na, Ca, Fe, Mg 함량은 다른 시료 보다 유의수준 p<0.05에서 차이를 보이며. 많은 것으로 나타났다. 젤라틴 함량은 돼지뼈를 1:1로 함께 이용한 시료가 152.40$\pm$13.80mg%, 소뼈로 만든 시료가 136.90$\pm$8.90mg%로 돼지뼈만으로 만든 brown stock 보다 함량이 적었는데, 유의수준 p<0.05에서 차이를 보였다. 환원당 함량도 시료간에 차이가 있었으며, 돼지뼈로 만든 시료가 가장 많았으며, 다음으로 소뼈+돼지뼈, 소뼈로 만든 시료의 순이었다. 탁도는 시료간에 큰 차이를 보이지는 않았으나, 소뼈로 만든 것이 가장 투명하였고, 돼지뼈로 만든 것이 가장 불투명하였다. 점도는 소뼈로 만든 것이 2.20$\pm$0.11 mPas로 가장 낮았으며, 돼지뼈로 만든 것이 2.65$\pm$0.15mPas로 가장 높았다. Hunter's color value에서 “L”값은 소뼈+돼지뼈로 만든 것이 21.80으로 세 종류 brown stock 중 가장 높았고 돼지뼈로 만든 것이 8.59로 가장 낮았다. “a”값은 소뼈+돼지뼈로 만든 brown stock이 2.51로서 다른 두 종류의 brown stock보다 높았고 돼지뼈로 만든 것은 0.09로 낮았으나 “b”값은 소뼈+돼지뼈로 만든 brown stock이 8.35로서 “L”,“a”값과 유사하게 세 종류의 brown stock 중 가장 높았다. 뼈의 종류를 달리한 brown stock의 관능평가 결과 냄새는 소뼈로 만든 brown stock이 돼지뼈, 소뼈+돼지뼈로 만든 것 보다 높은 점수를 받았으며, 유의수준 p<0.001에서 차이를 보였다. 점도는 소뼈＞소뼈+돼지뼈>돼지뼈의 순으로 기호도가 높았으며, 입안에서의 느낌과 전체적인 맛 역시 소뼈로 만든 brown stock이 유의수준 p<0.001에서 차이를 보이며, 조금 높게 나타났다.

• The Journal of Asian Finance, Economics and Business
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• 제9권5호
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• pp.41-51
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• 2022

The research looks into the impact of stock split announcements on stock prices and market efficiency in the Colombo Stock Exchange (CSE). This research uses a sample of 26 stock split announcements that occurred between 2020 and June 2021. According to the Global Industry Classification Standards, the stock split announcements covered in the study pertain to 26 businesses and 9 industries (GICS). To obtain the results, the usual event research methodology is used. The findings demonstrate significant average abnormal returns of 15.01 percent on the day the stock split news is made public and abnormal returns of 4.11 percent and -4.05 percent one day before and after the stock split announcement date, respectively. The study's findings revealed significant positive abnormal returns one day before the disclosure date, indicating information leakage, and significant negative abnormal returns the next day after the announcement date, indicating CSE informational efficiency. Because stock prices adapt so quickly to public information, these findings support the semi-strong form efficient market hypothesis, which states that investors cannot gain an abnormal return by trading in stocks on the day of the stock split announcement.