• Nutrition Research and Practice
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• v.4 no.4
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• pp.332-338
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• 2010

The purpose of this study was to examine consumers' behaviors toward ready-to-eat foods and to develop ready-to-eat food market segmentation in Korea. The food-related lifestyle and purchase behaviors of ready-to-eat foods were evaluated using 410 ready-to-eat food consumers in the Republic of Korea. Four factors were extracted by exploratory factor analysis (health-orientation, taste-orientation, convenience-orientation, and tradition-orientation) to explain the ready-to eat food consumers' food-related lifestyles. The results of cluster analysis indicated that "tradition seekers" and "convenience seekers" should be regarded as the target segments. Chi-square tests and t-tests of the subdivided groups showed there were significant differences across marital status, education level, family type, eating-out expenditure, place of purchase, and reason for purchase. In conclusion, the tradition seekers consumed more ready-to-eat foods from discount marts or specialty stores and ate them between meals more often than the convenience seekers. In contrast, the convenience seekers purchased more ready-to-eat foods at convenience stores and ate them as meals more often than the tradition seekers. These findings suggest that ready-to-eat food market segmentation based on food-related lifestyles can be applied to develop proper marketing strategies.

• The Korean Journal of Applied Statistics
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• v.28 no.6
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• pp.1245-1255
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• 2015

In this paper, we investigated the major 8 companies of Korean stock market, and carried out the goodness of fit and independence tests. We found out the distributions of absolute returns are closed to compressed exponential distribution. The parameters are dominant that 1 < ${\beta}$ < 2, followed by ${\beta}=1$(exponential distribution) and ${\beta}=2$(normal distribution). Meanwhile, we assured that most of the absolute returns for major 8 companies have relevance to each other by chi-square independence test.

• Journal of Korea Technology Innovation Society
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• v.3 no.3
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• pp.85-101
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• 2000

The purpose of this study is to test whether prices of personal computers reflect their varying degrees of non-marketable characteristics including after-sales service. This purpose is carried out using the hedonic price model. In this paper, we estimated 74 functional forms of hedonic price model using the quadratic Box-Cox transformation function and selected one based on the three criteria: expected signs, the statistical significance of estimated coefficients, and goodness of fit in terms of root-mean-square-percentage-error. In this study, we found hat as the after-sales service level increases the price of the personal computer increases. This result is consistent with the hypothesis that the less after-sales service offered with a personal computer, the less consumers are willing to pay for the personal computer, when all else remain constant. This finding shows that since the market works indirectly to influence pricing, the need to rely on consumer protection legislation to guarantee after-sales service is lessened. This study also found that after-sales service supported by each personal computer producer is not a free service, thus produces have a profit incentive for providing after-sales service.

• The Journal of Asian Finance, Economics and Business
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• v.5 no.3
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• pp.19-29
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• 2018

This research examined the alternatives of Jensen's alpha (α) estimation models in the Capital Asset Pricing Model, discussed by Treynor (1961), Sharpe (1964), and Lintner (1965), using the robust maximum likelihood type m-estimator (MM estimator) and Bayes estimator with conjugate prior. According to finance literature and practices, alpha has often been estimated using ordinary least square (OLS) regression method and monthly return data set. A sample of 50 securities is randomly selected from the list of the S&P 500 index. Their daily and monthly returns were collected over a period of the last five years. This research showed that the robust MM estimator performed well better than the OLS and Bayes estimators in terms of efficiency. The Bayes estimator did not perform better than the OLS estimator as expected. Interestingly, we also found that daily return data set would give more accurate alpha estimation than monthly return data set in all three MM, OLS, and Bayes estimators. We also proposed an alternative market efficiency test with the hypothesis testing Ho: α = 0 and was able to prove the S&P 500 index is efficient, but not perfect. More important, those findings above are checked with and validated by Jackknife resampling results.

• Journal of the Korean Home Economics Association
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• v.37 no.12 s.142
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• pp.125-140
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• 1999

This study aimed to examine the sexual discrimination in the labor market. For this purpose, this study compared the work conditions, perception of sexual discrimination in the work place and job satisfaction by sex, and showed some effects of the independent variables on the two dependent variables; the perception of sexual discrimination in the work place and job satisfaction. The data were from KLFI(1995)'s National data and two OLS (Ordinary Least Square) Regression models were used. The results of this study were as follows. There were significant differences in the working conditions between two sex groups. The perception of sexual discrimination in the work place was a little low and the difference by sex was not found. The variables related to the work were more important to predict the perception of sexual discrimination in the work place rather than the general characteristics of the sample. The male workers were more satisfied with their work than the female workers. The satisfaction of their work was significantly different by the variables related to the work.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.4
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• pp.97-105
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• 2020

This paper explores the impact of capital structure on firm performance in the context of Vietnam. The paper investigates the different effect of capital structure on firm performance in state-owned and non-state enterprises listed on the Vietnam stock market. The panel data of research sample includes 488 non-financial listed companies on the Vietnam stock market for a period of six years, from 2013 to 2018. The Generalized Least Square (GLS) is employed to address econometric issues and to improve the accuracy of the regression coefficients. In this research, firm performance is measured by return on equity (ROE), return on assets (ROA), and earnings per share (EPS). The ratios of short-term liabilities, long-term liabilities, and total liabilities to total assets are proxy for capital structure. Firm sizes, growth rate, liquidity, and ratio of fixed assets to total assets are control variables in the study. The empirical results show that capital structure has a statistically significant negative effect on the firm performance. The result also shows this effect is stronger in state-owned enterprises than non-state enterprises in Vietnam. These evidences provide a new insight to managers of both state-owned and non-state enterprises on how to improve the firm's performance with capital structure.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.9
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• pp.329-340
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• 2020

This study investigates the effect of capital structure on the financial performance of pharmaceutical enterprises which are listing on Vietnam's stock market. The study builds the regression using ROE as dependent variable and four independent variables, including self-financing, financial leverage, long-term asset and debt to assets ratios. In addition, we use other variables as controlling ones, such as firm size, fixed asset rate and growth. We collect data for the period from 2015 to 2019 of all 30 pharmaceutical enterprises which are currently listing on Vietnam's stock market. The least square regression (OLS) is used to test the effect of capital structure to the firms' financial performance. The analysis results show that the financial leverage ratio (LR), long-term asset ratio (LAR) and debt-to-assets ratio (DR) have positive relationship with firm performance, meanwhile the self-financing (E/C) affects negatively to the return on equity (ROE). Upon the findings we suggest that the Vietnamese government should focus on stabilizing macro environment to create favorable environment for enterprises. And the pharmaceutical enterprises should build more reasonable capital structure with higher debt proportion than equity, diversifying loan mobilization channels such as issuing long-term bonds. Additionally, the firms should expand the scale appropriately to maintain development and ability to pay debts.

• Communications for Statistical Applications and Methods
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• v.21 no.6
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• pp.471-486
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• 2014

This study introduces a new type of symbolic data, a candle chart-valued time series. We aggregate four stock indices (i.e., open, close, highest and lowest) as a one data point to summarize a huge amount of data. In other words, we consider a candle chart, which is constructed by open, close, highest and lowest stock indices, as a type of symbolic data for a long period. The proposed candle chart-valued time series effectively summarize and visualize a huge data set of stock indices to easily understand a change in stock indices. We also propose novel approaches for the candle chart-valued time series modeling based on a combination of two midpoints and two half ranges between the highest and the lowest indices, and between the open and the close indices. Furthermore, we propose three types of sum of square for estimation of the candle chart valued-time series model. The proposed methods take into account of information from not only ordinary data, but also from interval of object, and thus can effectively perform for time series modeling (e.g., forecasting future stock index). To evaluate the proposed methods, we describe real data analysis consisting of the stock market indices of five major Asian countries'. We can see thorough the results that the proposed approaches outperform for forecasting future stock indices compared with classical data analysis.

• Journal of Fashion Business
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• v.16 no.1
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• pp.26-40
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• 2012

The purpose of this study is to examine the fashion lifestyle variable of global consumers and to compare among US, Chinese and EU consumers. The data were collected in US(n=749), China(n=702) and EU(n=1083) from 2008 to 2010. For analysis, factor analysis, reliability analysis, K-means cluster analysis and chi-square analysis of SPSS 18.0 are used. The research results are as follow: First, it is shown that significant lifestyle factors of global fashion consumers are "adventure seeking", "fashion-oriented", "conspicuous consumption", "leadership", "brand-oriented", and "DIY". As a result of the cluster analysis of lifestyle types, four cross-national market segments are identified. These segments can be labeled as follows: "conservative fashion-oriented group", "passive consumer group", "neutral consumer group", "active fashion-oriented group". Second, findings also reveal that fashion lifestyle segments had meaningful differences between nationality and by year. Third, the US consumers tended to have conservative fashion-oriented lifestyle in 2008, however global consumers were changed to have active fashion lifestyle in 2010. This research will be useful to global brands in planning marketing strategies by offering specific information for global consumer fashion lifestyle.

• The Research Journal of the Costume Culture
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• v.19 no.5
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• pp.903-916
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• 2011

The purpose of this study was to analyze the eroticism of the exposed body and clothing style of Chinese foreign students in Korea and to provide basic information required to design and develop a niche market for the Chinese. A Chinese professor translated 52 questions, which formed a preliminary survey given to 30 Chinese students. Following this preliminary survey, some questions were then revised. The surveys were conducted during 3 weeks starting from the 5th of October. Only 289 of 330 questionnaires were selected for statistical analysis. Data were analyzed statistically through Frequency analysis, Chi-square test, T-test, and Regression analyses in SPSS 12.0. The results of this study were as follows. First, we should consider men's breast, back, and neck line in order to develop the design of men's clothes, and the leg and collarbones for women's clothing. Second, it was suggested that we pay attention to the following articles of clothing to expand the erotic market for Chinese women's clothes: mini-skirts, side slit skirts, and tight-skirts for bottoms; blouses or T-shirts with a neckline scooped out deeply for tops; and see-through one-piece dresses with deeply scooped out backs.