• The Korean Journal of Financial Management
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• v.19 no.1
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• pp.67-106
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• 2002

본 연구는 전략적 제휴가 단기적으로 기업가치에 어떠한 영향을 미치는 가에 관한 실증적 연구이다. 본 연구의 단기적인 성과 결과는 선행연구와 유사하게 나타났다. 즉, 윈도우 (-20, +20) 사이의 표본에 대한 실증적 연구결과, 시장모형과 시장조정모형 모두 전략적 제휴라는 이벤트 발생 시에 비정상수익률과 누적비정상수익률이 발생한다는 사실을 발견하였다. 이러한 사실은 한국의 제휴기업들도, 제휴로 인하여 기업의 효율성이 증대되어 기업가치가 상승한다는 시너지 가설이 적용된다는 사실을 발견하였다. 단기성과에 영향을 미치는 특성요인과의 관계를 조사하기 위해서 회귀분석을 해 본 결과, 총자본수익률(ROI)과 LQHC(토빈의 Q비율이 낮고 사내잉여금수준이 높은 기업은 1의 값, 그 외는 0을 가지는 가변수)가 통계적으로 유의한 변수로 나타났다. 두 변수 모두 단기성과와 부(-)의 관계를 보였다. 총자본수익률이 부(-)의 관계를 보인 것은 Das, Sen, 그리고 Sengupta(1998)의 연구결과와 유사하게 나타났다. 즉, 수익성과 단기적인 기업가치와의 관계가 부(-)의 관계를 보이는 것은 수익성이 낮은 기업일수록 제휴에 대한 일반 투자자의 기대가 크다고 해석할 수 있다. LQHC변수가 단기성과와 부(-)의 상관관계를 보이는 것은 투자기회가 낮고 사내잉여금수준이 높은 기업은 단기성과와 부(-)의 관계를 의미한다. 결론적으로 기업이 전략적 제휴를 맺음으로 해서 기업가치에는 단기적으로 정(+)의 영향을 미친다고 할 수 있다. 이러한 결과는 새로운 경영흐름의 하나인 제휴를 통하여 기업의 경영효율을 높일 수 있음을 시사하고 있다.

• Journal of Digital Convergence
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• v.16 no.12
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• pp.163-173
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• 2018

This study examined the difference between the information asymmetry in pre- and post K-IFRS adoption used each samples. Efficient market assumption suggests that capital markets already have recognized real value of PP&E and applied those values for estimating the item, in which case PP&E revaluation is not additional information in the capital market but simply an activity to makes costs. This study examined whether the information asymmetry had reduced significantly after adopting K-IFRS or not, verified each period samples those are pre- and post-adopting the asset revaluation since it could have been adopted in advance from 2008. As study results, I confirmed PP&E revaluation affected to reduce the information asymmetry in pre- adopting K-IFRS, but not in post- adopting K-IFRS. These results could be one of proofs which are supported that capital market have been judging PP&E revaluation as the window dressing.

• Journal of Global Scholars of Marketing Science
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• v.9
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• pp.189-201
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• 2002

Objectives of this study were: First, the purpose of this study is to develope the factors affecting private brand based on past researches and to review effects of the consumer perception factors affecting private brand preference. Second, to set up research model specifying relationships among price perception, information search and experience, Quality perception and private brand preference. Third, to test hypotheses derived from the research model of this study and to attempts to explain how to have the effect the private brand preference. Marketing implications of this study were: As a result LISREL analysis, price perception, informations search and experience, quality perception increase and enhance private brand preference. Limitations of this study were: Data collection methods used in this study were questionable for the lack of general analysis in the difference of preference between characteristics of purchaser and characteristics of non-purchaser exactly because our sample was only limited to Changwon, Masan and Jinhae. So future study has to include samples in other regions.

• International Area Studies Review
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• v.13 no.2
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• pp.277-297
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• 2009

This paper empirically investigates a long-run and short-run equilibrium relationships for exchange rate and stock prices in Korea and Japan from January 1998 to July 2008. Because using monthly data in my study, analyzes unit root test and VEC model including seasonality to overcome bias that happen in seasonal adjustment. The empirical evidence suggests that exists strong evidence supporting the long-run cointegration relationships between exchange rates and stock prices of the Korea and Japan. This implies that it is possible to predict one market from another for both countries, which seems to violate the efficient market hypothesis. In the long-run a negative relationship running from the KRW/JPY real exchange rate to the stock prices of Korea strongly argues for the traditional approach.

• The Korean Journal of Financial Management
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• v.22 no.1
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• pp.71-91
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• 2005

The object or this paper is to analyze the rollover effect on KOSPI 200 index option prices. Especially we analyze the implied volatilities of the options that became the near maturity options as the old one expired. For this analysis, a panel data of KOSPI 200 Index Option Prices from year 1999 to year 2001 were used, and following results were obtained. First, after controlling for the underlying index returns, strike prices and other pricing factors, the call option prices tend to decrease while the put option prices tend to increase during the week of expiry. Second, if one concentrates on the daily price changes, call option prices tend to go up on Thursday (as the old options expire), and then experience a price decrease on the following day, while the reverse is true for the put options. These results imply that the option prices are affected by some of the market micro-structure effects such as whether the option is the near maturity option. We conjecture that the reason for this is related to the undervaluation of KOSPI 200 futures. The results from this paper have implications on the timing of option trades. If one wants to buy put options, and/or sell call options, he has better off by executing his intended trades before the old options expire. On the other hand, if one wants to buy call options, and/or sell put options, hi has better off by executing his intended trades after the expiry.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.8 no.6
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• pp.1655-1661
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• 2007

Recently, various industries have appeared which are applied ubiquitous technology. Particularly, health and medical fields, have been focused as future's industry, have been combined with ubiquitous system. This is what we called' u-Health industry. Korean government has encouraged local governments to develop specialized high value-added industries along each local's circumstance. According to the policy, I had an assumption that u-Health industry is Chungbuk province's specialized high value-added industry and studied marketing strategy for the point of penetration into markets. I presented STP strategy for international markets. This strategy referred to developed countries' aging index and based on Modigliani's life cycle hypothesis. Finally, considering none of u-Health has been released, I presented strategies of marketing mix to be utilized when u-Health items march into the markets.

• Economic Analysis
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• v.26 no.4
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• pp.1-38
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• 2020

In this research, we explore the effects of changes in industrial structure due to industrial restructuring on employment and growth in the Korean economy. To that end, we first investigate the impact of industrial restructuring on employment through Lilien's sectoral shift hypothesis, considering the dependence of industrial restructuring on business cycles. As a result of the analysis, we find that changes in the industrial structure have exerted a short-term effect of increasing unemployment, and that the effects of industrial restructuring are even greater during the economic downturn period. In light of these points, Lilien's sectoral shift hypothesis seems to be valid in Korea. Next, we examine the effect of industrial restructuring on economic growth in Korea by analyzing which one, between the Kuznetz hypothesis and the Baumol effect, is dominant. Empirical results reveal that the mid- to long-term effect of industrial restructuring on GDP growth is significant, which is in accordance with the Kuznets hypothesis, where resource allocation along with industrial restructuring to sectors with high productivity spurs economic growth.

• Journal of Intelligence and Information Systems
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• v.25 no.2
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• pp.99-122
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• 2019

According to the recent IDC (International Data Corporation) report, as from 2025, the total volume of data is estimated to reach ten times higher than that of 2016, corresponding to 163 zettabytes. then the main body of generating information is moving more toward corporations than consumers. So-called "the wave of Big-data" is arriving, and the following aftermath affects entire industries and firms, respectively and collectively. Therefore, effective management of vast amounts of data is more important than ever in terms of the firm. However, there have been no previous studies that measure the effects of big data investment, even though there are number of previous studies that quantitatively the effects of IT investment. Therefore, we quantitatively analyze the Big-data investment effects, which assists firm's investment decision making. This study applied the Event Study Methodology, which is based on the efficient market hypothesis as the theoretical basis, to measure the effect of the big data investment of firms on the response of market investors. In addition, five sub-variables were set to analyze this effect in more depth: the contents are firm size classification, industry classification (finance and ICT), investment completion classification, and vendor existence classification. To measure the impact of Big data investment announcements, Data from 91 announcements from 2010 to 2017 were used as data, and the effect of investment was more empirically observed by observing changes in corporate value immediately after the disclosure. This study collected data on Big Data Investment related to Naver 's' News' category, the largest portal site in Korea. In addition, when selecting the target companies, we extracted the disclosures of listed companies in the KOSPI and KOSDAQ market. During the collection process, the search keywords were searched through the keywords 'Big data construction', 'Big data introduction', 'Big data investment', 'Big data order', and 'Big data development'. The results of the empirically proved analysis are as follows. First, we found that the market value of 91 publicly listed firms, who announced Big-data investment, increased by 0.92%. In particular, we can see that the market value of finance firms, non-ICT firms, small-cap firms are significantly increased. This result can be interpreted as the market investors perceive positively the big data investment of the enterprise, allowing market investors to better understand the company's big data investment. Second, statistical demonstration that the market value of financial firms and non - ICT firms increases after Big data investment announcement is proved statistically. Third, this study measured the effect of big data investment by dividing by company size and classified it into the top 30% and the bottom 30% of company size standard (market capitalization) without measuring the median value. To maximize the difference. The analysis showed that the investment effect of small sample companies was greater, and the difference between the two groups was also clear. Fourth, one of the most significant features of this study is that the Big Data Investment announcements are classified and structured according to vendor status. We have shown that the investment effect of a group with vendor involvement (with or without a vendor) is very large, indicating that market investors are very positive about the involvement of big data specialist vendors. Lastly but not least, it is also interesting that market investors are evaluating investment more positively at the time of the Big data Investment announcement, which is scheduled to be built rather than completed. Applying this to the industry, it would be effective for a company to make a disclosure when it decided to invest in big data in terms of increasing the market value. Our study has an academic implication, as prior research looked for the impact of Big-data investment has been nonexistent. This study also has a practical implication in that it can be a practical reference material for business decision makers considering big data investment.

• Korea Trade Review
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• v.42 no.3
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• pp.49-74
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• 2017

Drawing on the organizational learning theory, we argue that international patenting allows firms to assess the potential value of their innovation in host countries and find out latent local competitors. The information obtained from international patenting enables firms to make refined innovations that facilitate export performance. However, structural inertia and old knowledge can impede learning from international patenting. Thus, we expect larger firms and older firms to display greater reluctance to use the knowledge obtained from international patenting. Our empirical analysis of Korean pharmaceutical companies from 1998 to 2010 shows that international patent application increases export intensity but firm size and age weaken the positive effect of international patenting on export performance.

• International Area Studies Review
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• v.15 no.3
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• pp.471-491
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• 2011

This study is to analyze the determinants of inflow FDI with panel data of 12 provinces in western region of China for the period, 1990-2007, from the perspective of market-oriented FDI and production-efficiency-oriented FDI. The empirical findings are following. First, the empirical results prior to the start of western development program show that the GRDP, the intense of industrialization and university graduates per 10,000 residents have positive coefficient signs at the significant level, while wage level has a negative and significant value. Second the empirical results using the data after the launching of the western development program show that the GRDP, the intense of industrialization have positive relations with FDI, while openness in terms of the ratio of international trade to GRDP and the wage level have negative coefficients. Finally, this thesis finds that the empirical results for both periods are very similar, which suggest that the economic structure in western region has not changed significantly even though almost a decade passed since the western development program launched.