• Convergence Security Journal
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• v.15 no.3_2
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• pp.83-93
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• 2015

In this research, we used KOSPI, KOSDAQ and a stock price of Information Security related Company - S1, Ahnlab, Suprema, Raonscure and Igloosecurity. From August 2010 to July 2014, that is during 208 weeks(4 years), we had grasped index and stock price trend. Also we had attempted various Empirical analysis - Basic statistics of Security related Stock, Analysis of variance, Correlation analysis and Weekly Rate of Rise trends. The first purpose of this research is to see correlation between Security related Company and KOSPI, KOSDAQ. The second purpose of this research is to analyze whether stock items have investment value or not while watching features of flow of stock price per item. We expect possibility and merit of investment when we suppose Security industry's high potential to grow. It seems that Security related Company deserves to be invested. We expect investment for Security related Company that has high possibility of growing will create high yields compared to Market yields.

• Journal of the Korean Society of Food Culture
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• v.10 no.4
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• pp.327-337
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• 1995

The purposes of this study were to: (a) identify college students' patronage behaviors, (b) develop an instrument measuring the attitudes of University Students towards university foodservices management practices, (c) determine university students' attitude towards the four types of university foodservices, and (d) provide recommendations on marketing strategies for university foodservice. Questionnaires were hand delivered to 600 Yonsei University students by designated coordinators. A total of 549 questionnaires were usable; resulting in an 93.3% response rate. The survey was conducted between November 28 to December 4, 1995. Statistical data analysis was completed using the SAS Programs for descriptive analysis, T-test, ${\chi}^2$ test, ANOVA, Factor Analysis and Stepwise Multiple Regression. Most (88.3%) of students were patronizing university foodservices for lunch. Underground student foodservice (40.1%) and Restaurants outside the campus (33.7%) were primarily used for lunch and dinner respectively. Eighty six percent of university students had 1 to 2 meals per day at university foodservices. The reasons given by students for patronizing university foodservices were as follows: location, time, price, menu, taste. Most of the respondents were least satisfied with hygiene, taste, menu and atmosphere. Data indicated strong support for eight priori dimensions in terms of food, menu, atmosphere, hygiene, employee attitude, facilities and convenience. After the factor analysis, price, fast service and foodservice location attributes were rearranged, combined and created a new dimension called as 'access'. Three dimensions in terms of menu, hygiene, convenience were important to students although performance was perceived as poor through importance-performance analysis. Most of students were not satisfied with all four types of university foodservices. In terms of food quality and price which university foodservices offer, most of respondents were moderately satisfied. According to multiple regression analysis, 93.31% of the variance respondents' satisfaction score could be explained by food, menu, price, atmosphere, hygiene, employee attitude, facilities, and convenience dimensions.

• The Research Journal of the Costume Culture
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• v.32 no.3
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• pp.419-437
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• 2024

This study analyzed differences in the purchase satisfaction and repurchase intention of customers who buy clothing products from online platforms. The participants were teenage individuals to those in their 50s residing in Busan, Ulsan, and Gyeongsangnam-do. The data were examined via factor analysis, a t-test, Analysis of variance(ANOVA), Duncan's multiple range test, two-way ANOVA, and linear regression analysis. The factors for satisfaction with clothing products from online platforms were wearing comfort and quality, design, and price and purchase convenience. The findings revealed that purchase satisfaction based on these factors significantly varied among the participants depending on marital status, age, and occupation. Satisfaction with wearing comfort, quality, and design differed by gender. Satisfaction with wearing comfort, quality, and price and purchase convenience varied by type of purchase and type of online platforms. The interaction effects among the variables that affected purchase satisfaction were as follows. The interaction effects among the variables for wearing comfort and quality showed significant interactions between gender and type of purchase and between occupation and type of online platforms. Those for design showed significant interactions between marital status and age, between age and occupation, and so on. The interaction effects for price and purchase convenience showed significant interactions between marital status and gender and between age and occupation. The results on repurchase intention showed significant differences in such intention by marital status, age, and occupation. Repurchase intention was influenced by wearing comfort and quality, price and purchase convenience, design, and age.

• Land and Housing Review
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• v.2 no.4
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• pp.367-377
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• 2011

This paper investigates the determination factors' variation of real estate price after sub-prime financial crisis, in korea, using a VAR model. The model includes land price, housing price, housing rent (Jensei) price, which time period is from 2000:1Q to 2011:2Q and uses interest rate, real GDP, consumer price index, KOSPI, the number of housing construction, the amount of land sales and practices to impulse response and variance decomposition analysis. Data cover two sub-periods and divided by 2008:3Q that occurred the sub-prime crisis; one is a period of 2000:1Q to 2008:3Q, the other is based a period of 2000:1Q to 2011:2Q. As a result, Comparing sub-prime crisis before and after, land price come out that the influence of real GDP is expanding, but current interest rate's variation is weaken due to the stagnation of current economic status and housing construction market. Housing price is few influenced to interest rate and real GDP, but it is influenced its own variation or Jensei price's variation. According to the Jensei price's rapidly increasing in nowadays, housing price might be increasing a rising possibility. Jensei price is also weaken the influence of all economic index, housing price, comparing before sub-prime financial crisis and it is influenced its own variation the same housing price. As you know, real estate price is weakened market basic value factors such as, interest rate, real GDP, because it is influenced exogenous economic factors such as population structural changes. Economic participators, economic officials, consumer, construction supplyers need to access an accurate observation about current real estate market and economic status.

• Journal of Environmental Policy
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• v.10 no.2
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• pp.45-60
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• 2011

An aim of this paper is to test four hypotheses on price volatility in the $CO_2$ emission markets focusing on European Climate Exchange(ECX) in the EU Emission Trading Schemes(EU ETS) and Chicago Climate Exchange(CCX). I expect that, due to an influx of market information, a differently designed exchange market would bring a different price volatility, and various types of emission permits in the same exchange market would result in the same effects on the price volatility. Major findings are that the price volatility is same regardless of the types of emission exchange markets and emission permits comparing the rate of returns. However, comparing the GARCH variance, the volatility between ECX EUAs and CCX-CFIs and the volatility between EUAs(CERs) futures and daily futures are different with the exception of the volatility between EUAs futures and CERs futures. In conclusion, the price volatility depends on the types of exchanges and the types of emission permits.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.22 no.49
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• pp.43-57
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• 1999

The recent trend is that risk management has more and more its importance. Neverthless, Korea's risk management is not developed. Even most banks does gap, duration in ALM for risk management, development and operation of VaR stressed at BIS have elementary level. In the case of Fallon and Pritsker, Marshall, gamma model is superior to delta model and Monte Carlo Simulation is improved at its result, as sample number is increased. And, nonparametric model is superior to parametric model. In the case of Korea's stock portfolio, VaR of Monte Carlo Simulation and Full Variance Covariance Model is less than that of Diagonal Model. The reason is that VaR of Full Variance Covariance Model is more precise than that of Diagonal Model. By the way, in the case of interest rate, result of monte carlo simulation is less than that of delta-gamma analysis on 95% confidence level. But, result of 99% is reversed. Therefore, result of which method is not dominated. It means two fact at forecast on volatility of stock and interest rate portfolio. First, in Delta-gamma method and Monte Carlo Simulation, assumption of distribution affects Value at Risk. Second, Value at Risk depends on test method. And, if option price is included, test results will have difference between the two. Therefore, If interest rate futures and option market is open, Korea's findings is supposed to like results of other advanced countries. And, every banks try to develop its internal model.

• The Journal of Fisheries Business Administration
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• v.41 no.1
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• pp.73-91
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• 2010

The objective of this study is to examine the hedging effectiveness of shrimp futures market. Hedging effectiveness is measured by OLS model based on rolling windows. Analysis data are obtained from Kansai Commodities Exchange in Osaka and are weekly data of frozen shrimp futures and cash prices in the time period from July 9, 2003, to May 9, 2007. The empirical results are summarized as follows:First, the correlation coefficients between the nearby futures price changes and the cash(16/20) price changes are very low and have range from 0.141 to 0.208 values. Second, the minimum variance hedge ratios($\hat{\beta}$) are all statistically different from 0 at the 5% level and range from 0.0477 to 0.5039 values excluding Indian shrimps(26/30). Ex post hedging effectiveness, as measured by the coefficient of determination, $R^2$, is relatively very low and range from a low of 0.4% for west-south Indian shrimps(26/30) to a high 4.3% for Vietnamese shrimps(16/20). Third, ex ante hedging effectiveness, as measured by out-of-sample hedging period, is also very low and range from a low of -4.4% for west-south Indian shrimps(21/25) to a high of 3.4% for Vietnamese shrimps(16/20). This indicates that the shrimp futures market doesn't behave as risk management instrument of shrimp spot.

• KIEAE Journal
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• v.11 no.4
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• pp.19-27
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• 2011

This study aims to find the determining factors for apartment rental prices by using Stepwise Multiple Regression Analysis. In the process, differences among the groups and multicollinearity and correlation between the variables are examined using analysis of variance(ANOVA), correlation analysis and factor analysis. The comprehensive analysis of reliability of the variable and comprehensivization ensure objectivity. For this analysis, the characteristics of the determining factors for apartment rental prices by sub-regions in Seoul are as follows : First, the housing supply rate appears center of the central and the southwest region is influenced by the cultural and ecological environment, convenience, the size of the complex and reputation of the developer. Second, the northeast region is generally influenced by the regional economy, housing size, the density of the complex, well-known construction companies and relevant variables of individual housing and the density of the complex, physical and social environment, reputation of the developer, local economy and housing size. Lastly, the southeast region appears to be influenced by the local economy, the density of the complex, housing size and the educational environment.

• Environmental and Resource Economics Review
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• v.16 no.4
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• pp.855-872
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• 2007

This study suggests an imported coal procurement model that simultaneously considers the risk factors of coal price, ocean freight rate and foreign exchange rate. In addition, it quantitatively analyses the superiority of this model compared to the previous one m terms of procurement cost saving and stabilization. According to the empirical results, a separate hedging could stabilize the procurement cost flow, but this is not the end of story. That is, a complex hedging would reduce the standard deviations of cost flow. Thus, one could improve hedging effects by fully considering the inherent variance-covariance relationship among coal price, ocean freight rate and foreign exchange.

• The International Journal of Costume Culture
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• v.3 no.3
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• pp.235-245
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• 2000

The purposes of this study were 1) to investigate usage level of production strategies based on group of production environment, 2) to investigate usage level of production systems based on group of production strategy, and 3) to analyze each of company performance based on group of production strategy and system. For this study, the questionnaires were administered to 215 apparel manufactures in metropolitan area from Feb. to Mar. 1998. Employing a sample of 201, data were analyzed by factor analysis, descriptive statistics, cluster analysis, discriminant analysis, and multivariate analysis of variance. The following are the results of this study. 1. Concerning production strategy due to group of production environment, the stable group and the complicated group prefer to rice/quality centered strategy but the level of usage for strategies is so pretty that it is not significant to carry out them. 2. Concerning production system due to group of production strategy, the workers centered group is occupied high in the price/quality centered group & the complex group. And also the product centered system is occupied high in the flexibility centered group. 3. Concerning company performance due to group of production strategy and system, the price/quality centered group holds low position of performance comparing to another groups. And the performance of the managers centered group is higher than that of the workers.