• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.12
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• pp.162-169
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• 2016

Using 1795 observations from the 5 year-359 firm panel data collected during the period from 2009 to 2013 in Chinese stock exchanges, this study examines the impact of the controlling shareholders' ownership on R & D expenditure. This empirical study finds that when firms are state-owned, the controlling shareholders' ownership has a U shaped relation with the level of R & D expenses. A non-linear relation is also found when piece-wise regression models are applied. This empirical study also finds that when firms are private-owned, the controlling shareholders' ownership is negatively related to the level of R & D expenses, and no structural changes in the relation are found when piece-wise regression models are applied. These results support the hypothesis that the effects of the controlling shareholders' ownership on R & D expenses may differ depending on the ownership type of the controlling shareholders. This finding suggests that the differences in the controlling shareholders' incentives due to their ownership type should be considered when exploring the relation between the controlling shareholders' ownership and corporate strategic decisions.

• Management & Information Systems Review
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• v.28 no.4
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• pp.67-92
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• 2009

We examine the effects of investment opportunities, external financing, and cost of debts on the firms' capital investments. The empirical findings indicate that : (1) the firms' investment opportunities positively stimulates corporate capital investments but the effects of investment opportunities on the firms' capital investments decrease as the external financing and cost of debts increase ; (2) the firms' investment opportunities are positively correlated with firms' capital investments but the effects of external financing on the firms' capital investments decrease as cost of debts increase; (3) cost of debts is negatively associated with firms' capital investments and especially in the KOSPI firms, the effects of investment opportunities on the firms' capital investments decrease as cost of debts increase. Our findings suggest that managers' views be different from the policy maker's view and the more firms' internal factors of capital investments be found in the future.

• Journal of Digital Convergence
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• v.11 no.11
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• pp.191-196
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• 2013

The proportion of small and medium sized enterprises based on the number of corporations in China is 99%, the number of employees is 80%, and the proportion of GDP is 60%. These facts show that small and medium sized enterprises have an very significant effect on the economic growth of China. However, most of the researches conducted so far have studied large corporations, thus, there are relatively insufficient researches on the determinant of the capital structure of small and medium sized enterprises. Therefore, the purpose of this paper is to confirm the factors that determine the capital structure of small and medium sized enterprises in China. To achieve this purpose, we performed multiple regression method to 45 small and medium sized manufacturing enterprises listed on the Shenzhen Stock Exchange of China. Results of this study are as follows. First, the growth appeared to have a significant positive effect to the debt ratio in 1% significance level. Second, the profitability appeared to have a significant negative effect to debt ratio in 1% significance level. Third, the firm size appeared to have no effect on the debt ratio. Fourth, the secured value and tax shield effect by non-debt appeared to have a weak positive effect on the debt ratio, however these variables showed statistical insignificant.

• Advanced Industrial SCIence
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• v.2 no.3
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• pp.22-28
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• 2023

In this study, we conducted research on the automated trading of U.S. stocks through a volatility strategy using the Fear and Greed index. Volatility in the stock market is a common phenomenon that can lead to fluctuations in stock prices. Investors can capitalize on this volatility by implementing a strategy based on it, involving the buying and selling of stocks based on their expected level of volatility. The goal of this thesis is to investigate the effectiveness of the volatility strategy in generating profits in the stock market.This study employs a quantitative research methodology using secondary data from the stock market. The dataset comprises daily stock prices and daily volatility measures for the S&P 500 index stocks. Over a five-year period spanning from 2016 to 2020, the stocks were listed on the New York Stock Exchange (NYSE). The strategy involves purchasing stocks from the low volatility group and selling stocks from the high volatility group. The results indicate that the volatility strategy yields positive returns, with an average annual return of 9.2%, compared to the benchmark return of 7.5% for the sample period. Furthermore, the findings demonstrate that the strategy outperforms the benchmark return in four out of the five years within the sample period. Particularly noteworthy is the strategy's performance during periods of high market volatility, such as the COVID-19 pandemic in 2020, where it generated a return of 14.6%, as opposed to the benchmark return of 5.5%.

• Journal of Service Research and Studies
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• v.14 no.2
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• pp.18-36
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• 2024

As interest in ESG has been increased, it is easy to find papers that empirically study that a company's ESG activities have a positive impact on the company's performance. However, research on what ESG activities companies should actually engage in is relatively lacking. Accordingly, this study systematically classifies ESG activities of companies and seeks to provide insight to companies seeking to plan new ESG activities. This study analyzes how Chinese manufacturing companies perform ESG activities based on their dynamic capabilities in the global economy and how they differ in their activities. This study used the ESG annual reports of 151 Chinese manufacturing listed companies on the Shanghai & Shenzhen Stock Exchange and ESG indicators of China Securities Index Company (CSI) as data. This study focused on the following three research questions. The first is to determine whether there are any differences in ESG activities between companies with high ESG scores (TOP-25) and companies with low ESG scores (BOT-25), and the second is to determine whether there are any changes in ESG activities over a 10-year period (2010-2019), focusing only on companies with high ESG scores. The results showed that there was a significant difference in ESG activities between high and low ESG scorers, while tracking the year-to-year change in activities of the top-25 companies did not show any difference in ESG activities. In the third study, social network analysis was conducted on the keywords of E/S/G. Through the co-concurrence matrix technique, we visualized the ESG activities of companies in a four-quadrant graph and set the direction for ESG activities based on this.