• The Journal of Asian Finance, Economics and Business
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• 제8권2호
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• pp.737-745
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• 2021

This study aims to determine whether there are differences in the average abnormal return, trading volume activity, and trading frequency activity in pharmaceutical stocks before and after the announcement of the first case of the coronavirus (COVID-19) in Indonesia. The sample was selected using a purposive sampling method and collected as many as nine pharmaceutical companies listed on the Indonesia Stock Exchange during 2019-2020. The data used in this study were secondary data in the form of daily data on stock closing prices, Composite Stock Price Index (IHSG), stock volume trading, number of shares outstanding, and stock trading frequency. This study was an event study with an observation period of 14 days, namely seven days before and seven days after the announcement of the coronavirus's first positive case in Indonesia. Hypothesis testing employed the paired sample t-test method. Based on the results, it was found that there was no difference in the average abnormal return of pharmaceutical stocks before and after the announcement of the first case of COVID-19. However, there was a difference in the average trading volume activity and the average trading frequency activity in pharmaceutical stocks before and after the announcement of the first case of COVID-19.

• The Journal of Asian Finance, Economics and Business
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• 제7권8호
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• pp.51-59
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• 2020

The objective of this study is to enrich the literature by investigating the impact of introduction of index future trading on spot market returns and trading volume in Vietnam. Data used in this study mainly consist of daily VN30-Index and market trading volume series during the period from February 6^th, 2012 to December 31^st, 2019. Using OLS, GARCH(1,1) and EGARCH(1,1) models, the empirical findings consistently confirm that the introduction of index future trading has no impact on the spot market returns. In addition, the results of the EGARCH(1,1) model indicate that the leverage effect on the spot market volatility is existence in HOSE. Specifically, bad news has a greater effect on the market volatility than good news of the same size. Moreover, our empirical findings reveal that the introduction of index future contracts has the positive impact on the underlying market trading volume. Specifically, the trading volume of the post-index futures introduction increases by 7.5 percent compared with the pre-index futures introduction. Finally, the results obtained from the Granger causality test for the relationship between the spot market returns and the future trading activity confirm that only uni-directional causality running from the market returns to the future trading activity exists in HOSE.

• 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.95-107
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• 2020

This study analyzes the effect of corporate social responsibility (CSR) activity on investors' heterogeneous beliefs. The hypothesis of this study is based on the conflicting effects of CSR activities on firm value and earning's quality. Investors' heterogeneous beliefs used in the empirical analysis of this study are trading volume, and CSR activity is measured by the KEJI Index (Korea Economic Justice Institute Index). This study performs an empirical analysis using regression analysis including control variables. CSR activities are found to have a positive relationship with trading volume. This is consistent regardless of the low and high accounting information (earning's quality). It can be interpreted that Korea's CSR activity acts as an incentive to increase investors' heterogeneous beliefs about target companies. In other words, it implies that the investor judges CSR activities negatively when evaluating firm value. This study could have a policy implication in that it analyzes how CSR activities affect investors' decision-making. In other words, this study analyzed CSR activities from the perspective of shareholders. Therefore, this study is expected to provide useful information for policymaking by regulatory agencies. In particular, its contribution is to presents data that CSR activities can be a negative factor in evaluating firm values.

• The Journal of Asian Finance, Economics and Business
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• 제8권4호
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• pp.135-143
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• 2021

Information has an essential role in decision-making for investors who will invest in financial markets, especially regarding the policies on the condition of COVID-19. The purpose of this study is to determine the market reaction to the information published by the government regarding the policy changes to the provisions of Trading Halt on the IDX in an emergency using the event study method. The population in this study was companies listed on the Indonesia Stock Exchange in March 2020; the sample selection technique was purposive sampling. Data analysis used a normality test and one sample T-test. The results of the study found that there were significant abnormal returns on the announcement date, negative abnormal returns around the announcement date, and significant trading volume activity occurring three days after the announcement. The existence of a significant positive abnormal return on the announcement date indicates that the market responds quickly to information published by the government. The practical implication of this research can be taken into consideration for investors in making investment decisions to analyze and determine the right investment options so that investors can minimize the risk of their investment and maximize the profits they want to achieve.

• The Journal of Asian Finance, Economics and Business
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• 제9권10호
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• pp.137-145
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• 2022

This study aims to test the information content of sustainability reports issued by the most significant telecommunications companies operating in the Kingdom of Saudi Arabia (Stc, Zain, and Mobily), and their compatibility with the national sustainability standards issued by the Ministry of Commerce in the Kingdom of Saudi Arabia in light of the Kingdom's vision 2030, and its impact on the stock exchange indices of these companies. The event study methodology was used to study the impact of publishing sustainability reports on stock prices and the trading volume of these companies' shares in the Saudi stock market during the period from (October 2020 to March 2021). The results indicate a significant impact of the information contained in the sustainability reports on stock prices and trading volume in the stock market, and the importance of directing the company's management towards more disclosure of information about sustainability in its environmental, social, and economic aspects instead of focusing only on information related to the financial performance and economic activity of the company. This encourages the listed companies to disclose the sustainability of the financial reports and standardize the form in which these disclosures are prepared.

• 재무관리연구
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• 제24권2호
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• pp.41-79
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• 2007

본 논문은 주가지수 선물과 옵션의 만기일이 주식시장에 어떠한 영향을 미치는가에 대한 분석을 통해 한국주식시장에서 만기일 효과가 존재하는지를 검증한다. 주가지수를 이용한 기존의 논문과는 달리 만기일에 현물 주식시장의 움직임을 개별 종목별로 분석했다는 점에서 본 논문은 차별성을 지닌다. 주가지수는 시장 움직임의 평균으로 개별 종목의 고유한 특성을 반영하지 못하기 때문에 주가지수를 이용한 분석은 만기일 효과를 해석하고 그 원인을 분석하는데 한계를 지니고 있다. 분석 결과 한국주식시장에서 선물 만기일 효과는 분명히 존재하지만, 옵션 만기일 효과는 뚜렷하지 않은 것으로 드러났다. 선물 만기일에 KOSPI 200 지수와 개별 종목은 가격상승 압력이 존재하고, 변동성과 거래량이 증가하며, 만기일 다음날 수익률은 반전하는 경향이 있는 것으로 나타났다. 그러나 비교표본인 NON-KOSPI 200 지수와 개별 종목에서 만기일 효과가 존재한다고 할 만한 증거를 찾지 못했다. 만기일 효과가 시장 전체적으로 나타나는 것처럼 보이지만 KOSPI 200에 속하는 대규모 기업에 한정되며, 장 후반에 집중적으로 나타난다는 사실은 프로그램 매매와 만기일의 결제제도가 만기일 효과의 간접적 원인임을 시사한다. 또한 만기일 다음날 가격이 반전하는 현상이 KOSPI 200에 속하는 대규모 기업에 한정되어 나타나는 사실은 만기일 효과가 새로운 정보의 반영에 의한 정보 효과(information effects)가 아니라 일시적 거래불균형에 의한 유동성 효과(liquidity effects)임을 보여주는 증거가 된다.

• 한국컴퓨터정보학회논문지
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• 제7권2호
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• pp.196-204
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• 2002

본 연구에서는 1998년 7월부터 2001년 6월까지의 KOSPI 200 주가지수선물시장을 대상으로 가격발견기능의 특성에 관한 세 가지 가설을 검증하였다. 먼저 현물시장의 공매제약으로 인한 가격발견기능의 변화 여부를 검증하기 위한 '가격발견기능은 상승장보다 하락장에서 강하게 나타난다. '는 가설은 상승장보다 하락장에서 선도시간이 더 길게 보고되었고 이는 예상대로 현물시장의 공매제약으로 인한 하락장에서의 정보 실현의 난점으로 인하여 하락장에서의 가격발견기능이 더 크게 나타나는 것을 알 수 있었다. 다음으로 주식시장의 빈번하지 않은 거래 효과가 가격발견기능에 미치는 영향을 살펴본 '현물시장의 거래량의 증가로 인하여 가격발견기능은 감소한다' 는 가설은 현물시장이 거래량이 많은 경우보다 적은 경우에 선물시장의 가격발견기능이 크게 나타났다. 현물시장의 거래량이 미약할 때 빈번하지 않은 거래효과로 인하여 주가지수를 구성하는 종목들이 시장에 새로 진입한 정보를 빠르게 소화하지 못하여 현물 시장에 대한 선물시장의 가격발견기능이 더 크게 나타나는 것을 알 수 있다. 마지막으로 차익거래가 가격발견기능에 대한 영향을 간접적으로 살펴보기 위한 '만기일의 가격발견기능은 만기일전과 다르다' 는 가설은 만기일과 만기일전의 가격발견기능에는 특정한 차이가 없음을 밝혀냈다.

• 경영과정보연구
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• 제34권1호
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• pp.65-80
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• 2015

본 연구는 완전자본시장이 성립하는 경우 시장참가자들이 소유 및 거래하는 포트폴리오의 형태가 시장포트폴리오여야 한다는 논리를 바탕으로 그들이 거래하는 포트폴리오가 시장포트폴리오의 모습과 다르다면 이는 그들만이 가지고 있는 정보를 가지고 거래를 하였다는 가정에서 출발한다. 매수-매도 거래별로 시장포트폴리오로부터의 이격정도를 측정하는 선택적 종목거래활동 강도 지표를 구성하고 가격비율과의 회귀분석을 통해 특정 투자자집단의 거래가 정보거래인지를 판단하였다. 연구결과 개인 투자자집단의 종목선택행위가 가장 높게 나타났으나 회귀계수의 통계적 유의성이 일관적이지 못 하고 그 크기 또한 경제적 의미를 부여할만큼 크지 못 하기에 이들의 거래는 정보거래와는 무관한 거래라고 판단된다. 기관 투자자집단의 경우 회귀계수가 유의적인 음(-)으로 나와 그들의 거래는 정보거래와는 거리가 멀다고 판단된다. 외국인 투자자집단의 경우 매도 거래행위에서 일관적인 양(+)의 회귀계수가 나타남을 통해 정보거래를 행하고 있음을 확인할 수 있었다. 이는 Yoo(2008)에서 언급한 바와 같이 신흥시장에서는 외국인투자자가 상위 정보거래자, 기관투자자가 하위 정보거래자, 개인투자자는 비정보거래자의 역할을 한다고 보는 견해와 일치된다.

• The Journal of Asian Finance, Economics and Business
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• 제7권7호
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• pp.27-34
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• 2020

The study investigates herding behavior in cryptocurrencies in different situations. This study employs daily returns of major cryptocurrencies listed in CCI30 index and sub-major cryptocurrencies and major stock returns listed in Dow-Jones Industrial Average Index, from 2015 to 2018. Quantile regression method is employed to test the herding effect in market asymmetries, inter-dependency and intra-dependency cases. Findings confirm the presence of herding in cryptocurrency in upper quantiles in bullish and high volatility periods because of overexcitement among investors, which lead to high volume trading. Major cryptocurrencies cause herding in sub-major cryptocurrencies, but it is a unidirectional relation. However, no intra-dependency effect among cryptocurrencies and equity market is observed. Results indicate that in the CKK model herding exists at upper quantile in market that may be due when the market is moving fast, continuously trading, and bullish trend are prevailing. Further analysis confirms this narrative as, at upper quantile, the beta of bullish regime is negative and significant, meaning the main source of market herding is a bullish trend in investment, which increases market turbulence and gives investors opportunity to herd. Also, we found that herding in cryptocurrencies exits in high volatility periods, but this herding mostly depends on market activity, not market movement.