• International Commerce and Information Review
• /
• v.12 no.4
• /
• pp.171-192
• /
• 2010

In general, a stock index and its individual stocks are assumed to follow a random walk. A stock index is an important source of information and one that is seen by people everyday, regardless of their investment intentions. This paper examines the correlation between the KOSPI-the index that best reflects the Korean stock market and the macro - economic variables that have been found to influence the index by previous studies. The sample period considers the years after 2000 when the Korean stock market matured as restrictions on foreign investors were removed. For this purpose, a Vector Error Correction Model (VECM) and KOSPI equation with a general pacific approach were used. This paper aims at verifying the factors that determined the KOSPI after 2000 and at examining whether there was structural change in the investment environment. It also investigates changes in the factors determining the KOSPI's performance as a result of structural changes in the investment environment. The V AR (Vector Autoregressive) model including the nine variables was selected as a baseline model whose stability was tested using the unit root test. The results from the VECM and the structural changes in the investment environment can be summarized by the following Inner story points.

• Journal of Korean Society for Quality Management
• /
• v.35 no.4
• /
• pp.26-37
• /
• 2007

The demand of ubiquitous home network system is rapidly increasing in Korea as each construction enterprise makes a huge effort to introduce it to apartment complex. However, the design of home network system is rather technology oriented than the customer focused. Lack of knowledge about customer needs is an obstacle in spreading the ubiquitous home network system to the market regardless of technology development. In this paper, we propose a HCSI(customer satisfaction index for home network system) using an SEM(structural equation model) where structural relationship among several factors influential on users' satisfaction is considered. This model enables to calculate the satisfaction index for target customer group so that one can provide necessary feedback information for improvement of the home network system used for each group.

• Journal of The Korean Digital Architecture Interior Association
• /
• v.12 no.1
• /
• pp.89-98
• /
• 2012

While the housing transaction price of Seoul tends to be stagnant or declining in line with the housing market recession since 2007, the jeonse price keeps continual increase. Such flow of jeonse price change has a serious influence on ordinary person's housing stability seriously. Therefore, it is very meaningful in terms of social policy to analyze the trend of recent jeonse price change. This study aims to have an empirical analysis of structural characteristics of the trend of recent jeonse price change. After the review of various previous studies, this study selected housing jeonse price index, non-sold house quantity, jeonse vs. transaction price rate, and housing construction performance as analytical variables, and employed monthly time series resources from January 2007 to April 2011. As a result, when the housing supply reduced, the potential quantity for jeonse market reduced that occurred unbalance of supply and demand in jeonse market. In turn, it caused the increase of jeonse price. And, in case of jeonse vs. transaction price rate change, the rate increased which means the increase of required rate of return of invested demand. As such, the increase of market risk degenerates the investment sentiment which caused the reduction of quantity for jeonse market as a submarket.

• Korea Journal of Hospital Management
• /
• v.5 no.2
• /
• pp.40-58
• /
• 2000

Nurses are medical personnel, who play a key role in supporting patient care, so it is important to supply them adequately in balance with ever increasing medical demand. But there appears severe shortage of nurses in some hospitals because of their uneven distribution, especially in small sized-hospitals and rural-hospitals. As nationwide distorted distribution of nurses in Korea is just like what monopsony model(a kind of market structure model) tells us, it is attempted to explain this situation of nurse labor market in Korea on the basis of monopsony model and presented in this paper. Specifically, determinants of nurse wage and the level of their relative employment were examined, and monopsony impact on their wage and the level of relative employment controlling those determinants were studied. Major results of this study arc as follows. The most important determinant of nurse wage level in this study was the wage level of a local community where each hospital located Hospital owner's characteristics an educational function of each hospital were also important factors. With these factor controlled, it was found that monopsony power of each hospital was negativel associated with nurse wage level as expected. 1% increase in monopsony power of hospital(measured by Herfindah-Hirschman Index) reduced nurse wage by $5,674{\sim}19,19$ won(in Korean currency). With regard to the level of relative employment, the most important determinant wa the capacity for supplying nurses of the local community. Again, hospital owner characteristics and educational function of each hospital were also important. With these factors controlled, it was found that monopsony power of each hospital was negative associated with the number of nurses per bed, as expected. 1% increase in monopsony power of each hospital(again measured by Herfindah-Hirschman Index) reduced the number of nurses per 100 bed as much as $0.46{\sim}0.67$. In conclusion. structural factors of nurse labor market influence the instability of nurse labor supply in Korea. Further consideration for these market structural characteristics needed for policy making related to nurse resource allocation.

• Survey Research
• /
• v.7 no.1
• /
• pp.55-84
• /
• 2006

This study has classified development stages (Embryonic-Growth-Maturity) of mobile telecommunication industry based on Industry Life Cycle theory. There are two steps to be analyzed in this study, In the first step, cluster was investigated through cluster analysis using mobile density to categorize development stages of mobile telecommunication industry. In the second step, we compared on indexes of market structure, market efficiency and market performance to find out characteristics of each stage of development. The results are as follows. First, HHI is higher at embryonic stage than at growth and maturity stages, Second, ARPU(Average Revenue Per User) and RPM(Revenue Per Minute) are getting higher as the stages move on. Third, EBITDA margins, an index of market performance, is decreasing along the three stages. Finally, this study presents a clue to define the stage of development of mobile telecommunication industry and build a proper strategy for the market change.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.16 no.10
• /
• pp.6534-6542
• /
• 2015

This study examines the relation between mutual fund performance and fund flows in Korean market using weekly and monthly data. The results are as follows. First, the relation between the two variables varies across fund types. Even the relations in equity fund and index fund are different from each other. Second, the structural change in the mutual fund market affect significantly the relation between the two variables. Third, return chasing flow is observed constantly in bond fund and it is observed only after the structural change for equity fund and MMF. However, no return chasing flow is observed for index fund. Fourth, mutual fund flows affect subsequent fund returns only in MMF after the structural change.

• Journal of Distribution Science
• /
• v.14 no.1
• /
• pp.93-102
• /
• 2016

Purpose - The purpose of paper is studying the static and dynamic side for long-term memory storage properties, and increase the explanatory power regarding the long-term memory process by looking at the long-term storage attributes, Korea Composite Stock Price Index. The reason for the use of GPH statistic is to derive the modified statistic Korea's stock market, and to research a process of long-term memory. Research design, data, and methodology - Level shifts were subjected to be an empirical analysis by applying the GPH method. It has been modified by taking into account the daily log return of the Korea Composite Stock Price Index a. The Data, used for the stock market to analyze whether deciding the action by the long-term memory process, yield daily stock price index of the Korea Composite Stock Price Index and the rate of return a log. The studies were proceeded with long-term memory and long-term semiparametric method in deriving the long-term memory estimators. Chapter 2 examines the leading research, and Chapter 3 describes the long-term memory processes and estimation methods. GPH statistics induced modifications of statistics and discussed Whittle statistic. Chapter 4 used Korea Composite Stock Price Index to estimate the long-term memory process parameters. Chapter 6 presents the conclusions and implications. Results - If the price of the time series is generated by the abnormal process, it may be located in long-term memory by a time series. However, test results by price fixed GPH method is not followed by long-term memory process or fractional differential process. In the case of the time-series level shift, the present test method for a long-term memory processes has a considerable amount of bias, and there exists a structural change in the stock distribution market. This structural change has implications in level shift. Stratum level shift assays are not considered as shifted strata. They exist distinctly in the stock secondary market as bias, and are presented in the test statistic of non-long-term memory process. It also generates an error as a long-term memory that could lead to false results. Conclusions - Changes in long-term memory characteristics associated with level shift present the following two suggestions. One, if any impact outside is flowed for a long period of time, we can know that the long-term memory processes have characteristic of the average return gradually. When the investor makes an investment, the same reasoning applies to him in the light of the characteristics of the long-term memory. It is suggested that when investors make decisions on investment, it is necessary to consider the characters of the long-term storage in reference with causing investors to increase the uncertainty and potential. The other one is the thing which must be considered variously according to time-series. The research for price-earnings ratio and investment risk should be composed of the long-term memory characters, and it would have more predictability.

• Korea Trade Review
• /
• v.47 no.6
• /
• pp.229-246
• /
• 2022

In order to understand the economic damage of economic sanctions on trade between Korea and Russia, a trade structure analysis was conducted through statistics on import and export trade between Korea and Russia. Through the structural analysis of product trade, we tried to accurately analyze the current status of product trade between Korea and Russia. In the trade structure analysis, it was confirmed that the trade in goods between Korea and Russia decreased the most in market share and trade concentration. However, trade specialization, comparative advantage by market, and intra-industry trade index were not significantly affected despite strong economic sanctions. from Russia's point of view Smart measures are needed to address the current situation to avoid a greater economic downturn. The end of the war and the restoration of partnership with other countries are considered the most beneficial solutions for Russia and all countries, but it is difficult to predict how the war will go or what economic situation Russia will be in after the war.

• Journal of Korea Port Economic Association
• /
• v.31 no.3
• /
• pp.141-153
• /
• 2015

This paper is an attempt to analyze the comparative advantage of Busan Port to China. For this, we use the market comparative advantage index, which is a version of the revealed comparative advantage index. The market comparative advantage index (MCA) uses trade patterns to identify the sectors in which a region has a comparative advantage, in this case by comparing Busan Port's trade profile with the world average (China). The indices are calculated at the commodity level of the HS four-digit classification. The export data used in this study are obtained from the Korea International Trade Association. Exports to China accounted for almost one third of Korean exports in 2014. There are, however, structural differences among the main export items of Busan Port. This paper, therefore, employs MCA indices to reveal the behaviors of the ten main export items, which are "HS3920-other plates/sheets/film/foil of plastics," "HS7606-aluminum plates/sheets/strip," "HS8479-unspecified machines/medical appliances," "HS8486-machines for semiconductor devices or wafers," "HS8529-parts for transmission apparatus for television," "HS8703-motor vehicles for the transport of persons," "HS8708-parts of motor vehicles," "HS9001-optical fibers," and "HS9013-liquid crystal devices." The study shows that export competitiveness of nine items increases, the exception being HS8703. However, China's import ratios of seven of the nine items for which the MCA indices go up are on the decrease, which means that it would be hard to expand the export market for these seven items, despite the higher MCA indices. Since the shares of the port's total exports to China of HS3907, HS8486, HS8529, HS9001, and HS9013 in total exports to China increase together with China's import ratio decreasing, these items may have promising export markets. MCA increases of HS7606 and HS8479 are attributable to China's lower import ratio, rather than a higher export share, so higher MCA indices do not guarantee higher export competitiveness for these items.

• Journal of the Korean Regional Science Association
• /
• v.34 no.1
• /
• pp.3-17
• /
• 2018

This paper empirically investigates time-varying regression parameter of hedonic price model for Seoul office rental market in distinct periods of a market cycle. Office rental index is constructed and the index indicates that the global financial crisis differentiates the analysis period into decline stage and recovery stage. Pre-crisis period is classified into decline stage and post-crisis is classified into recovery stage. Structural break-point test suggests structural change of hedonic model of rent determinants occurred in 2008. Evidence indicates that individual regression parameters of hedonic price model for decline stage are significantly different from those for recovery stage. Changes in the regression parameters of land price, distance to metro, building size, building age, and conversion rate are consistent. In recovery stage, the effect of locational advantage on office rent decreases whereas the effect of building characteristics on the rent increases.