• The Journal of Asian Finance, Economics and Business
• /
• 제8권3호
• /
• pp.987-996
• /
• 2021

The development of Internet technology can affect firm value through the use of social media by business people. Nowadays, social media affect businesses of all sizes in several different ways. Despite the various benefits obtained by using social media, research at the organizational level and its impact on business performance have not grown as fast as desired. This research aims to examine the effect of social media on oil and gas firms' value. The research sample consists of 9 oil and gas firms listed on the Indonesian Stock Exchange 2013-2018. Social media proxies are firms' social media, other social media mentions, and social media sentiment. Firm value is measured by the market value to assets ratio. Data analysis uses a random-effect regression test. Based on the analysis, the social media account of a firm has a positive effect on firm value. It indicates that social media give advantages for oil and gas firms to give a signal of business prospect, make use of opportunities related to industry alliances, recruit employees globally, and c. On the other hand, the positive sentiment on social media has no effect on oil and gas firms' value.

• 대한임베디드공학회논문지
• /
• 제17권1호
• /
• pp.51-58
• /
• 2022

Various studies have been conducted from the past to the present because stock price forecasts provide stability in the national economy and huge profits to investors. Recently, there have been many studies that suggest stock price prediction models using various input data such as macroeconomic indicators and emotional analysis. However, since each study was conducted individually, it is difficult to objectively compare each method, and studies on their impact on stock price prediction are still insufficient. In this paper, the effect of input data currently mainly used on the stock price is evaluated through the predicted value of the deep learning model and the error rate of the actual stock price. In addition, unlike most papers in emotional analysis, emotional analysis using the news body was conducted, and a method of supplementing the results of each emotional analysis is proposed through three emotional analysis models. Through experiments predicting Microsoft's revised closing price, the results of emotional analysis were found to be the most important factor in stock price prediction. Especially, when all of input data is used, error rate of ensembled sentiment analysis model is reduced by 58% compared to the baseline.

• 산경연구논집
• /
• 제9권7호
• /
• pp.53-59
• /
• 2018

Purpose - This study examines the effect of control-ownership wedge on stock crash risk. In Korea, controlling shareholders have exclusive control rights compared to their cash flow rights. With increasing disparity, controlling shareholders abuse their power and extract private benefits at the expense of the minority shareholders. Managers who are controlling shareholders of the companies tend not to disclose critical information that would prevent them from pursuing private interests. They accumulate negative information in the firm. When the accumulated bad news crosses a tipping point, it will be suddenly released to the market at once, resulting in an abrupt decline in stock prices. We predict that stock price crash likelihood due to information opaqueness increases as the wedge increases. Research design, data, and methodology - 831 KOSPI-listed firm-year observations are from KisValue database from 2005 to 2011. Control-ownership wedge is measured as the ratio (UCO -UCF)/UCO where UCF(UCO) is the ultimate cash-flow(control) rights of the largest controlling shareholder. Dependent variable CRASH is a dummy variable that equals one if the firm has at least 1 crash week during a year, and zero otherwise. Logistic regression is used to examine the relationship between control-ownership wedge and stock price crash risk. Results - Using a sample of KOSPI-listed firms in KisValue database for the period 2005-2011, we find that stock price crash risk increases as the disparity increases. Specifically, we find that the coefficient of WEDGE is significantly positive, supporting our prediction. The result implies that as controlling shareholders' ownership increases, controlling shareholders tend to withhold bad news. Conclusions - Our results show that agency problems arising from the divergence between control rights and cash flow rights increase the opaqueness of accounting information. Eventually, the accumulated bad news is released all at once, leading to stock price crashes. It could be seen that companies with high control-ownership wedge are likely to experience future stock price crashes. Our study is related to a broader literature that examined the effect of the control-ownership wedge on stock markets. Our findings suggest that the disparity is a meaningful predictor for future stock price crash risk. The results are expected to provide useful implications for firms, regulators, and investors.

• 한국식품조리과학회지
• /
• 제17권6호
• /
• pp.589-597
• /
• 2001

This study was conducted to develop a standardized Korean cold noodle stock recipe which can be used in food service establishments. The qualities of three kinds of stock made of beef rib only(B group), beef rib added with chicken(BC group), and beef rib added with chicken and vegetable(BCV group) were investigated by using sensory evaluation and instrumental analyses for free amino acids and nucleotides during heating (2, 3, 4, and 6 hr) at 90$\pm$ 5$\^{C}$ The highest amino acid contained in B, BCV, and BCV groups was arginine followed by alanine, glycine, and glutamic acid. B and BC groups was extracted to the best contents of amino acids by heating for 4 hours but BCV group for 3 hours. Nucleotides were extracted from B and BC group between 3 and 4 hours of heating but in BCV group between 2 and 3 hours. In sensory evaluation, BCV group obtained the highest score for overall preference. In the measurement of color difference, BCV group was the lowest in L value(lightness) but the highest in b value(yellowness).

• 아태비즈니스연구
• /
• 제10권3호
• /
• pp.37-51
• /
• 2019

In this paper, we investigate the performance of anomaly factors in Asia-Pacific Stock market and show the higher Sharpe ratio of the volatility managed smart beta portfolio. The smart beta portfolio combines the benefit of passive strategy and active strategy. However, the smart beta portfolios are seems to be exposed to the risk of anomaly factors from the perspective of traditional financial equilibrium model. Therefore, the smart beta strategy may generate negatively skewed returns unappealing to investors having lower risk tolerance. Our empirical investigations find that the return of the Asia-Pacific region stock market is more volatile than other regions with the lower efficiency ratio. However, the value factor and the momentum factor of Asia-Pacific region both show good performances. More interestingly, we also find that managing the volatility of the momentum factor in Asia-Pacific stock market almost doubles the efficiency ratio.

• 농업과학연구
• /
• 제47권4호
• /
• pp.1097-1107
• /
• 2020

Assessment of soil carbon stock is essential for climate change mitigation and soil fertility. The digital soil mapping (DSM) is well known as a general technique to estimate the soil carbon stocks and upgrade previous soil maps. The aim of this study is to calculate the soil carbon stock in the top soil layer (0 to 30 cm) in Jeolla Province of South Korea using the DSM technique. To predict spatial carbon stock, we used Cubist, which a data-mining algorithm model base on tree regression. Soil samples (130 in total) were collected from three depths (0 to 10 cm, 10 to 20 cm, 20 to 30 cm) considering spatial distribution in Jeolla Province. These data were randomly divided into two sets for model calibration (70%) and validation (30%). The results showed that clay content, topographic wetness index (TWI), and digital elevation model (DEM) were the most important environmental covariate predictors of soil carbon stock. The predicted average soil carbon density was 3.88 kg·m-2. The R2 value representing the model's performance was 0.6, which was relatively high compared to a previous study. The total soil carbon stocks at a depth of 0 to 30 cm in Jeolla Province were estimated to be about 81 megatons.

• 품질경영학회지
• /
• 제27권3호
• /
• pp.51-66
• /
• 1999

This paper empirically investigates the impact of winning a quality award by investigating the rate of return of a firm's stock in the stock market, and by analyzing the contribution and effectiveness to a firm's competitiveness. It also compares the effect of firms winning MB(Malcolm Baldrige) award with that of firms winning Korean quality awards on the stock market. A comparative method is used to analyze the change of award-winning firms'rate of return and then they are classified by time-series, cross-sectional, firm's size, award agency, and the year of receiving the award. The number of firms employed in this study is 74, however, multiple award-winning firms are included in the analysis, which increased the sample size to 118. Results indicate that Korean quality awards improve an award-winning firms'market value but not as much as the MB award did.

• The Journal of Asian Finance, Economics and Business
• /
• 제9권9호
• /
• pp.1-8
• /
• 2022

This paper studies market efficiency from a weak form aspect using opening and closing prices of the Shanghai stock exchange composite index (SSEC) and Shenzhen stock exchange composite index (SZSEC) under the expected return theory. Classical methods (autocorrelation and runs test) are used to examine the features of stock returns, and little evidence against mutual independence of returns is found. We predict daily returns of SSEC and SZSEC with AR(p) and VAR(p) models (in this paper, p = 5 is taken as a one-week lag) and perform a virtual experiment on two indexes based on the predicted value of daily returns from AR(p) or VAR(p) model. From the results of AR(p) and VAR(p) for two indexes, we attempt to find out how the market efficiency level changes when the information from the other market is under consideration as we check the market efficiency level in one market. We find that SSEC in 2014-2016 and SZSEC in 2015-2016 are inefficient from the result of autocorrelation, that SSEC in 2016 and SZSEC in 2013 are not efficient from the result of runs test, that the stock market is efficient except 2005, 2009, 2010 and 2017 in SSEC and 2005, 2016 and 2017 in SZSEC and that SSEC is more influenced by SZSEC but SSEC influences SZSEC less from the result of the virtual experiment.

• 아태비즈니스연구
• /
• 제15권2호
• /
• pp.181-205
• /
• 2024

Purpose - This study aims to examine the direct impact of corporate social responsibility initiatives on firm technological innovation and the moderating effect on the relationship between firm technological innovation and corporate value. Design/methodology/approach - This study collected 13,298 firm-year data by selecting A-share companies listed on the China Shenzhen Stock Exchange and Shanghai Stock Exchange from 2010-2017. This study runs the multivariate regression using random effect generalized least squares (GLS) regression model. Findings - The research results of this study are as follows. First, corporate social responsibility initiatives do not increase the firm technological innovation, but rather reduce it. Second, firm technological innovation generally improves corporate value, whether it is book value or market value. Third, corporate social responsibility initiatives reduce the positive influence of firm technological innovation on corporate value. Research implications or Originality - There may be discussions on whether Chinese patent application data is a good indicator of the innovation of Chinese companies, but previous studies prove that the number of patent applications has a significant correlation with R&D expenditures or financial performance. However, there is a clear limitation in that it is not possible to confirm the result of registration after a patent application, but it is expected that such limitations can be overcome by using patent registration information or detailed citation documents in the future.

• 아태비즈니스연구
• /
• 제13권3호
• /
• pp.73-92
• /
• 2022

Purpose - The purpose of this paper is to explore the relationship between corporate social responsibility (CSR) and corporate present and future value. Design/methodology/approach - This paper intends to prove the relationship between CSR and corporate value once again by selecting A-share companies listed on the China Shenzhen Stock Exchange and Shanghai Stock Exchange from 2010 2017. This paper also examines the effect of five dimensions of CSR on corporate value in China. Findings - Empirical evidence shows that CSR is conducive to corporate value. The fulfillment of social responsibilities improves firm value in the future. Further, the regression results show that the social responsibility of the non-state-owned enterprise (Non-SOEs) group has a more significant effect on corporate financial performance than on the state-owned enterprise (SOEs) group. Research implications or Originality - This study has limitations. First, the grouping is only divided into two groups of SOEs and non-SOEs, and we did not consider foreign investments, that is, foreign-funded enterprises, for the comparative analysis. Second, only the linear relationship between CSR and corporate value was tested. In the future, we must determine whether there exists a nonlinear relationship between the two key concepts. Finally, there exists no research on CSR and corporate value by specific industries. Thus, the relationship between the five dimensions of CSR and corporate value should be investigated by specific industries.