• 한국콘텐츠학회:학술대회논문집
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• 한국콘텐츠학회 2006년도 춘계 종합학술대회 논문집
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• pp.43-46
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• 2006

본 연구는 게임 및 e-business컨텐츠 등을 중심으로 한 디지털컨텐츠업종의 주가가 해외주식시장 모멘텀에 어떻게 반응하는지를 분석하였다. 분석 결과, 국내 KOSDAQ 시장 내 디지털컨텐츠업종의 시장가치가 미국 디지털 IT 관련기업 중심의 NASDAQ시장에 유의한 (+)의 관계로 동조하는 것이 확인되었다. 따라서 국내에서 디지털컨텐츠업을 영위하는 기업이라 할지라도 자신의 시장가치가 미국 NASDAQ시장의 등락에 영향 받아 변동될 수 있음을 인지하여야 할 것이며, 나아가 그에 기초한 기업가치 관리를 행하는 것이 바람직할 것이다. 한편 일본의 대표적 주가지수인 NIKKEI225지수와의 동조화 여부를 분석한 결과, 양자간의 유의한 인과관계는 발견되지 않았다. 이는 NIKKEI225지수가 디지털 IT기업을 중심으로 구성된 지수가 아님에 따른 결과로 이해되었으며, 따라서 일본시장과 관련한 디지털컨텐츠 기업 시장가치 변동을 이해하는데 있어서는 NIKKEI225 지수 동향에만 의존하여서는 안 될 것이라는 시사점이 도출되었다.

• 한국직업건강간호학회지
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• 제29권1호
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• pp.29-37
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• 2020

Purpose: The purpose of this study was to examine relationships between perceived exercise benefits/barriers, competence, depression, and wellness, and then to identify influencing factors on the wellness of traditional market traders. Methods: One hundred eight persons working in a traditional market participated in the study of questionnaire. Data were analyzed using t-test, ANOVA, and multiple regression. Results: The scores were 2.82±0.66 for "perceived exercise benefits", 1.84±0.42 for "perceived exercise barriers", 4.68±1.56 for "competence", 9.60±7.56 for "depression", and 3.64±0.64 for "wellness". Regression analysis to identify factors affecting the wellness of traditional market traders showed that "perceived exercise benefits" was the most significant factor (β=.32, p<.001), followed by "competence" (β=.04, p=.009) and "depression" (β=.17, p=.039). The explanatory power of these variables for wellness of traditional market traders was 53%. Conclusion: Our findings suggest that perceived exercise benefits, competence and depression are significantly related to traditional market trader's wellness. Therefore, wellness programs should be developed to reduce depression and improve perceived exercise benefits and competence.

• The Journal of Asian Finance, Economics and Business
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• 제7권9호
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• pp.63-74
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• 2020

This study investigates the behavior of foreign investors in the Stock Exchange of Thailand (SET) in the time of coronavirus disease 2019 (COVID-19) as to whether trading is abnormal, what strategy is followed, whether herd behavior is present, and whether the actions destabilize the market. Foreign investors' trading behavior is measured by net buying volume divided by market capitalization, whereas the stock market behavior is measured by logged return on the SET index portfolio. The data are daily from Tuesday, August 28, 2018, to Monday, May 18, 2020. The study extends the conditional-regression model in an event-study framework and extracts the unobserved abnormal trading behavior using the Kalman filtering technique. It then applies vector autoregressions and impulse responses to test for the investors' chosen strategy, herd behavior, and market destabilization. The results show that foreign investors' abnormal trading volume is negative and significant. An analysis of the abnormal trading volume with stock returns reveals that foreign investors are not positive-feedback investors, but rather, they self-herd. Although foreign investors' abnormal trading does not destabilize the market, it induces stock-return volatility of a similar size to normal trade. The methodology is new; the findings are useful for researchers, local authorities, and investors.

• 한국산학기술학회논문지
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• 제4권4호
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• pp.422-427
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• 2003

본 논문은 1990년부터 1997년 IMF금융위기가 일어난 시점까지 이루어진 다각화 합병과 비다각화 합병기업들의 M&A사례를 표본으로 하여 합병성과를 분석하였다. 합병성과 측정모형은 시장모형(market model)과 시장조정 수익률 모델(market-adjusted return model)을 그리고 검증은 t-통계량을 이용하였다. 연구결과, 본기간에 발생된 합병성과는 80년대에 비하여 경쟁적이고 보다 자율적인 M&A특성으로 인하여 비다각화합병 기업에게 부(-)의 성과가, 다각화합병기업에게는 정(＋)의 성과로 나타났다.

• 한국의류학회지
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• 제26권11호
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• pp.1605-1614
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• 2002

The purpose of this study was to identify the consumers who use the level of price as the indicator of the product quality. In order to implement the purpose of this study, Jeans market had been segmented by the mixture regression model, and price response function was calibrated for each segment. Based on the types of price response function, segments were allocated into one of two groups; the group using the level of price as the quality indicator or the group not using the level of price as that. Then, characteristics of both groups were compared in terms of product attributes and demographic variables. Data were co]looted from the sample of the 23o undergraduate and graduate students in Seoul. For the data analysis, mixture regression model, conjoint analysis, and t-test were used. As a result, jeans market was divided into 5 segments. Segment 1,2,3 were allocated into the group not using the level of price as the quality indicator while segment 4,5 were done into the other group. Significant differences existed between two groups in product attributes, not in demographic variables. Mixture model and conjoint analysis were proved to be an effective set of tools in market segmentation.

• The Journal of Asian Finance, Economics and Business
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• 제8권10호
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• pp.65-76
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• 2021

This study aims at investigating the effect of product innovation accounting on the market success of instant food and convenience food businesses in Thailand with customer response capability as the mediator. In addition, it examines the effects of management accounting systems, marketing intelligence, and technology orientation on product innovation accounting. The sample for this study is 258 instant food and convenience food businesses in Thailand. To test the research relationships, a structural equation model is used. The results of this study show that product innovation accounting has a significant effect on both customer response capability and market success. Similarly, customer response capability significantly leads to market success while it mediates the product innovation accounting-market success relationship. Testing the antecedents of the research relationships, management accounting system, marketing intelligence, and technology orientation potentially affect product innovation accounting. Accordingly, product innovation accounting is a key source of competitive advantage. Product innovation accounting must be recognized by company management as a strategic tool for competing in markets and environments. They must invest their resources and capabilities to create and develop product innovation accounting principles, as well as encouraging their staff to implement and use these principles in the workplace.

• 산업융합연구
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• 제7권1호
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• pp.63-82
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• 2009

Many The purpose of this paper is to revisit the existence of monthly effect in the Korea Stock Market. We conducted additory test about KOSPI200 from January 1990 to December 2002 and about KOSDAQ from January 2002 to December 2006. The other main focus is examine Size Effect in Korean Stock Market. We also indicate Information hypothesis throught our findig. Data used in this paper are monthly returns of KOSPI and KOSDAQ from 1980 to 2006. As a result, Evidence is provided that monthly abnormal returns in January have large means relative to the remaining eleven months. The relation between abnormal returns and size is always negative and more pronounced in January than in any other month-even in years. More than fifty percent of the January premium is attributable to large abnormal returns during the first week of trading in the year particularly on the first trading day. This finding is highly significant in the mall sized capital stock of KOSPI market. We found January effect and Size Effect in the KOSPI market, but we didn't find January effect and Size Effect in the KOSDAQ market and KOSPI200.

• The Journal of Asian Finance, Economics and Business
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• 제8권3호
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• pp.977-985
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• 2021

The main aim of the study is to provide empirical evidence about the association between stock market exchange data and weighted price index. This research utilized monthly reported data from the Amman stock exchange market (ASE) and the Central Bank of Jordan (CBJ). The weighted price index was employed as the dependent variable and the independent variables were weighted price index (WPI), turnover ratio (TOR), number of trading days (NTD), price-earnings ratio (PER), and dividends yield ratio (DY). The time period of the study was from January 2015 to October 2020. The study's methodology follows a quantitative approach using the multiple regression method to test the hypotheses of the study. The final results of the study provided conclusive evidence that the market-weighted price index is strongly and positively correlated to three predetermined variables, namely; turnover ratio, price-earnings ratio, and dividend yield but no evidence was obtained for the effect of the number of trading days. The finding of the current study proved that the market price index is not only influenced by macro factors, but also by other variables assumed to not beneficial for the judgment of price index movements.

• The Journal of Asian Finance, Economics and Business
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• 제8권7호
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• pp.11-19
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• 2021

The study aims to investigate the impact of seasonality in Gulf Cooperation Council (GCC) countries' share market during the month of Ramadan. It helps in finding the opportunities for stock market investors to earn abnormal (returns) gain by investing during Ramadan in GCC stock markets. This study uses stock returns data of GCC countries (Saudi Arabia, Bahrain, Qatar, Kuwait, Dubai, and UAE) from January 2004 to November 2019. Stock prices indexes of GCC stock markets have been obtained from Datastream. The ARCH-GARCH model is used to study the impact of the Ramadan month on the return and volatility of the stock market in GCC countries. The results showed that the Ramadan month has a significant impact on share market prices in Saudi Arabia and the United Arab Emirates. However, Ramadan has an insignificant impact on share market prices in Bahrain and Oman. The study found no evidence of serial correlational between residuals in Kuwait; meaning that stock return was not dependent on the prior stock returns in Kuwait, therefore, we cannot go for forecasting. The ARCH-LM test statistic for Qatar does not fulfill the requirement of a good regression model; therefore, we cannot go for forecasting or testing the hypothesis of Qatar.

• 응용통계연구
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• 제28권6호
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• pp.1245-1255
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• 2015

본 논문에서는 한국 유가증권시장의 시가총액 상위 8개사 주가 수익률 절대값(absolute return)을 이용하여, 분포의 적합도 검정(goodness of fit test) 및 기업들 간의 독립성 검정(independence test)을 실시하였다. 검정 결과 개별 주가 수익률은 압축된 지수분포(compressed exponential distribution)를 이루는 것으로 나타났다. 이 때 파라미터는 1 < ${\beta}$ < 2 인 경우가 ${\beta}=1$(지수분포), ${\beta}=2$(정규분포)보다 우세한 것으로 확인되었다. 한편 독립성 검정에서는 대부분의 기업들이 관련성을 지니고 있는 것으로 나타났다.