• Land and Housing Review
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• v.12 no.3
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• pp.27-37
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• 2021

This paper empirically examined the relationship between the housing market and the stock market to investigate the price and the asymmetric volatility spillover effects. The monthly housing price index and the monthly KOSPI were used for analysis. This research employed the EGARCH model. The analysis period was from January 1986 until June 2021 with periodization centered on the Asian Financial Crisis: before and after the crisis - the end of December 1997. The EGARCH model allows analysis of 'good news' and 'bad news' in understanding volatility. The price spillover effect was observed one way from the stock market to the housing market. On the contrary, the spillover effect was not found from the housing market to the stock market. The empirical evidence suggests that there are price and asymmetric volatility effects in the entire period of analysis in both housing and the stock markets. In the housing market, the negative effects of information were found pre-financial crisis while the positive effects, in other periods. However, in the stock market, the negative effects of information were found in the pre- and post-financial crisis periods. This means that the housing market is more affected by 'good news' than 'bad news' when information spreads to the markets while the stock market is more affected by 'bad news' than 'good news'. It is of significance to discover the variable returns by different information.

• Journal of Society of Preventive Korean Medicine
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• v.18 no.1
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• pp.43-52
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• 2014

This study was conducted to analyze if there is a difference between the head hospital and branch hospital by comparing the profitability and operating expenses to patient revenue of oriental medicine hospitals affiliated with universities in order to find whether opening branch hospitals is an appropriate method to increase profitability. Profit indices used for the comparison of head hospital and branch hospital include ratio of operating profit on medical revenue, net-income on medical revenue, net profit to total assets, and operating profit to total assets; and cost indices included ratio of labor costs, material costs and administrative costs. In comparison of profit indices of head hospitals and branch hospitals, head hospitals displayed negative(-) in all four profit index averages while branch hospitals displayed positive(+), showing that branch hospitals have higher profitability. In particular, in the case of head hospitals, ratio of net profit to total assets was -13.6%, while that of branch hospitals was 12.9%, which was higher than 3.1%, the average of Korean oriental medicine hospitals in 2011. As a result of difference analysis between groups of head hospitals and branch hospitals, profit indices of ratio of operating profit on medical revenue, net-income on medical revenue, and ratio of net profit to total assets were found to vary by hospitals, but there was no statistically significant difference between head hospitals and branch hospitals(p<0.1). Only the ratio of operating profit to total assets of head hospitals and branch hospitals indicated significant difference between the two groups, showing that ratio of operating profit to total assets of branch hospitals is larger than that of head hospitals. Meanwhile, the cost indices of ratio of labor costs, material costs and administrative costs in the difference test results did not show significant difference between the head hospital and branch hospital(p<0.1). Thus, it cannot be said that a certain oriental medicine hospital's profitability is high or low depending on whether it is head hospital or a branch as profitability varies depending on the management environment of the hospital. Therefore, oriental medicine hospitals affiliated with universities would need to make efforts to increase their profitability as an individual hospital rather than focusing on whether they are head hospital or a branch.

• The Korean Journal of Franchise Management
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• v.3 no.1
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• pp.1-25
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• 2012

The studies of franchise companies are underway with the development of the franchise industry. Franchisor performance, franchisee performance, and relationship characteristics on performance, financial performance, non-financial performance, including research on the topic or purpose of the franchise performance and related discussions from a variety of perspectives have been proposed. Presented so comprehensive a discussion regarding the existing performance of the franchise and qualitative aspects such as satisfaction, long-term orientation to emphasize the limits. Therefore, this study was conducted by the franchise company's performance than the need to be clearly presented. Propose a quantifiable and quantified to reflect the characteristics of the franchise quantitative performance indicators. Franchise contract management systematically analyze the status of the enterprise contract management(ECM) and proposed contract management, leverage as an indicator for a more quantitative analysis. Contract management leverage is the franchise as an indicator of the merchant and the growth of the contract showing any significant changes in the coming changes in the Franchisee's sales growth target analysis results, notable implications could be found. This study are new methodology for the practical dimensions of performance of franchise companies.

• Management Science and Financial Engineering
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• v.14 no.2
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• pp.89-104
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• 2008

Growth curves including Bass, Logistic and Gompertz functions are widely used in forecasting the market demand. Nonlinear least square method is often adopted for estimating the model parameters but it is difficult to set up the starting value for each parameter. If a wrong starting point is selected, the result may lead to erroneous forecasts. This paper proposes a method of selecting starting values for model parameters in estimating some growth curves by nonlinear least square method through grid search and transformation into linear regression model. Resealing the market data using the national economic index makes it possible to figure out the range of parameters and to utilize the grid search method. Application to some real data is also included, where the performance of our method is demonstrated.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2007.11a
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• pp.283-286
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• 2007

This paper proposes a genetic algorithm (GA) approach to instance selection in case-based reasoning (CBR) for the prediction of Korea Stock Price Index (KOSPI). CBR has been widely used in various areas because of its convenience and strength in complex problem solving. Nonetheless, compared to other machine learning techniques, CBR has been criticized because of its low prediction accuracy. Generally, in order to obtain successful results from CBR, effective retrieval of useful prior cases for the given problem is essential. However, designing a good matching and retrieval mechanism for CBR systems is still a controversial research issue. In this paper, the GA optimizes simultaneously feature weights and a selection task for relevant instances for achieving good matching and retrieval in a CBR system. This study applies the proposed model to stock market analysis. Experimental results show that the GA approach is a promising method for instance selection in CBR.

• Communications for Statistical Applications and Methods
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• v.24 no.5
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• pp.507-518
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• 2017

Volatility plays a crucial role in theory and applications of asset pricing, optimal portfolio allocation, and risk management. This paper proposes a combined model of autoregressive moving average (ARFIMA), generalized autoregressive conditional heteroscedasticity (GRACH), and skewed-t error distribution to accommodate important features of volatility data; long memory, heteroscedasticity, and asymmetric error distribution. A fully Bayesian approach is proposed to estimate the parameters of the model simultaneously, which yields parameter estimates satisfying necessary constraints in the model. The approach can be easily implemented using a free and user-friendly software JAGS to generate Markov chain Monte Carlo samples from the joint posterior distribution of the parameters. The method is illustrated by using a daily volatility index from Chicago Board Options Exchange (CBOE). JAGS codes for model specification is provided in the Appendix.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.2
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• pp.765-771
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• 2010

This study was carried out to examine relationships between financial pressures, depression, the quality of life related with economic stress factors on patients suffering from chronic strokes residing in Daejeon. 209 patients with chronic stroke being treated in genernal hospital were selected as subjects for this study. Data were collected by conducting 1:1 interviews through questionnaires. The study examined differences in patients' economic stress, depression, standard of living and the quality of lives through collected data. The results showed statistically meaningful analysis in standard of living(p<.000), economic pressure (p<.000), depression (p<.05), the quality of life (p>.05), the standard of living (p<.05). The higher the economic pressure, depression indexes or very severe the standard of living the lower the quality of life index, so the economic stress meaningfully increases. If an objective economic stress index is devised by measuring the level of economic burdens in common with guardians of patients and patients themselves, the index will become clinically important data. Furthermore, there requires the development of medical mediation that can reduce economic stress and increase the quality of life for patients suffering from strokes.

• Korean Journal of Construction Engineering and Management
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• v.11 no.1
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• pp.59-69
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• 2010

Although international construction market gradually takes a important position among the export industries, the previous studies about international construction entry strategy have just focussed on trend investigation or suggestion for revitalization. Moreover, in order to prepare the market uncertainty such as world financial crisis and to plan the long term strategy, specific strategy studies based on corporate level are required. Therefore, this study estimates the nine strategic index and four financial index of 31 companies that performed 1920 international projects from 1993 to 2007 and evaluate the performance as three periods by multi-regression analysis. Also, this study analyze dynamic correlation between these index and the performance considering times. this study verifies that market diversification, product diversification, localization and decrease of debt to asset ratio make a good effect on the international order as long term strategy and shows that collaborated entry with domestic corporations, alliance entry with host country's company, alliance entry with third country's company, portion of labor cost and portion of management expense differently make a influence on the performance as times. these results will be helpful for the construction companies to plan the international entry strategy reasonably and specifically.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.38 no.3
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• pp.417-428
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• 2018

The purpose of this study is to raise the necessity of ensuring sustainability of water infrastructures in economic, social and environmental sectors by using index that evaluates the sustainability centering on water supply and wastewater utilities. This study identified sub-indexes that should be stressed among different indexes in economic, social and environmental aspects and those indexes were compared by each clusters of cities. The principal component analysis was used to calculate the weights of the sub-indexes, and the k-mean cluster analysis was conducted to classify the clusters. As a result of the weighting analysis, financial independence, service revenue ratio, subsidy ratio, population coverage ratio, deterioration, stream/river ecosystem health and river water quality were found to be the major variables in assessing sustainability. Cities were then classified into two groups using the k-mean cluster analysis. The overall sustainability scored high in the economic sector was relatively satisfactory, but it was necessary to improve the environmental sustainability. The group with relatively good environmental sustainability showed low score in the overall sustainability and required improvements in the economic sector.

• Journal of Information Technology Applications and Management
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• v.21 no.1
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• pp.177-184
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• 2014

This research analyzes the effects of factors on the demands for outbound to the countries such as Japan, China, the United States of America, Thailand, Philippines, Hong Kong, Singapore and Australia, the countries preferred by many Koreans. The factors for this research are (1) economic variables such as Korea Composite Stock Price Index (KOSPI), which could have influences on outbound tourism and exchange rate and (2) unpredictable events such as diseases, financial crisis and terrors. Regression analysis was used to identify relationship based on the monthly data from January 2001 to December 2010. The results of the analysis show that both exchange rate and KOSPI have impacts on the demands for outbound travel. In the case of travels to the United States of America and Philippines, Korean tourists usually have particular purposes such as studying, visiting relatives, playing golf or honeymoon, thus they are less influenced by the exchange rate. Moreover, Korean tourists tend not to visit particular locations for some time when shock reaction happens. As the demands for outbound travels are different from country to country accompanied by economic variables and shock variables, differentiated measure to should be considered to come close to the target numbers of tourists by switching as well as creating the demands. For further study we plan to build outbound tourism forecasting models using Artificial Neural Networks.