• Management Science and Financial Engineering
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• v.11 no.3
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• pp.61-78
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• 2005

The aim of this paper is to identify the barriers to the B2B e-commerce development in China's pharmaceutical industry and to devise an effective strategy for its future development. Built on a detailed investigation of the market structure and recent development of electronic commerce in China's pharmaceutical industry, this paper proposes that the key issue in the development of effective B2B e-commerce business models is the successful transformation of the inter- organizational information systems into electronic marketplaces. In order to ensure the success of such electronic marketplaces, a government driven approach will be needed. In the process, designing an incentive compatible mechanism of coordinating the interest of all the market players will be the prerequisite.

• Korean Journal of Organic Agriculture
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• v.9 no.4
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• pp.1-27
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• 2001

The number of organic farms are increasing in European countries during last 10 years. Most European governments are giving subsidies for organic farmers as well as converting organic farms from conventional farming method. The price level of most organic products are higher than price level of conventional products in general. However, there are certainly some market demand problems in organic products in some countries. Organic farms will be increased in 2005 and 2010 for 10∼20% of the total agricultural area in some European countries. Government subsidy payment is also increasing. Therefore, many farmers are going to change into organic farming method from conventional farming. However, there will be certainly some market demand problems in future because of national economic growth problems. At the same time, the quality of soil can be improved and status of health of urban consumers should be improved by consuming organic products.

• Environmental and Resource Economics Review
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• v.16 no.3
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• pp.607-627
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• 2007

By reviewing the current application of Environmental Fiscal Instruments in China, existing policy gaps and weakness, and the feasibility of using EFIs in China, this paper pointed out that the Chinese government faces an historic opportunity for promoting the development of a comprehensive environmental fiscal system. It is proposed that as far as possible the real economic and social costs of pollution and environmental degradation should be reflected in the prices charged for the use of environmental and natural resources. Chinese government should systematize existing environmental fiscal funds and policies, gradually setting up a framework for integrating environmental fiscal instruments into the public financial system.

• The Journal of the Korea Contents Association
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• v.10 no.12
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• pp.173-180
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• 2010

Cultural contents industry is a kernel industry based on knowledge. This study is to suggest some complements by watching and analyzing cultural industry policy and status of especially animation America, England, France and Japan and that of Korea to aim at American market. I described financial resources, creation and technology, development of human resources, export method, improvement of legal system for the supplementary method of animation export strategy. This reports could be applicable as a information to plan industry policy or to develop detail program.

• Journal of the Korean Operations Research and Management Science Society
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• v.40 no.4
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• pp.35-48
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• 2015

We analyze the systemic risk based on the information flows using the variance decomposition, DebtRank methods, and the Industry Sector Indices during 2001. 01 to 2015. 08. Using the KOSPI stock market as our setting, we find that (i) the systemic risk calculated by information flows of variance decompositions method shows strong positive relations with the market volatility, (ii) the magnitude of systemic risk measured from the information flows network by DebtRank method increases after the subprime financial crisis.

• Journal of Industrial Technology
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• v.27 no.B
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• pp.177-184
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• 2007

Project Financing(PF) was introduced from the way of banks' conditional financing that take buried oil as security and offer required money to oil explores which have weak loaning ability in the U.S. 1930s. After that PF has developed with financial market and it has been activated in the market of Korea since 'An Institution about Private Financing Invitation Promotion' was established. Started with I-Hwa Ryoung tunnel project, PF has been used in the Metropolitan Area Airport Highway and etc. But because of the risk that occurred by PF's complexity and uncertainty, PF has not been used fully and there are only few practical examples. The purpose of the present study is to investigate how to decrease, identify and extract the risky factors of project that being planned by PF.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2000.11a
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• pp.489-497
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• 2000

After IMF situation, the money market environment is changing rapidly. Therefore, many companies including financial institutions and many individual investors are concerned about forecasting the money market, and they make an effort to insure the various profit and hedge methods using derivatives like option, futures and swap. In this research, we developed a prototype of forecasting system for KOSPI 200 option, especially call option, trading using artificial neural networks(ANN), To avoid the overfitting problem and the problem involved int the choice of ANN structure and parameters, we employed the ANN ensemble approach. We conducted two types of simulation. One is conducted with the hold signals taken into account, and the other is conducted without hold signals. Even though our models show low accuracy for the sample set extracted from the data collected in the early stage of IMF situation, they perform better in terms of profit and stability than the model that uses only the theoretical price.

• East Asian Economic Review
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• v.17 no.3
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• pp.311-332
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• 2013

This paper examines the effect of initial margin requirements on long-run and short-run volatilities in the Japanese stock market using the Component GARCH model. Our empirical results show that when we do not divide the margin requirement into positive and negative changes, increasing margin requirement is effective for reducing long-run volatility, while not effective in short-run volatility. However, separating the positive and negative changes in margin requirements reveals the fact that the negative changes in margin requirements decrease long-run volatilities, while the higher margin requirements increase short-run volatilities in the Japanese stock market. This suggests that if the Japanese financial authorities intend to increase margin level to reduce volatility, unexpectedly, short-run volatility would be even higher.

• International Journal of Computer Science & Network Security
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• v.22 no.2
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• pp.185-192
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• 2022

Forecasting and time series modelling plays a vital role in the data analysis process. Time Series is widely used in analytics & data science. Forecasting stock prices is a popular and important topic in financial and academic studies. A stock market is an unregulated place for forecasting due to the absence of essential rules for estimating or predicting a stock price in the stock market. Therefore, predicting stock prices is a time-series problem and challenging. Machine learning has many methods and applications instrumental in implementing stock price forecasting, such as technical analysis, fundamental analysis, time series analysis, statistical analysis. This paper will discuss implementing the stock price, forecasting, and research using prophet and LSTM models. This process and task are very complex and involve uncertainty. Although the stock price never is predicted due to its ambiguous field, this paper aims to apply the concept of forecasting and data analysis to predict stocks.

• Journal of Korea Trade
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• v.23 no.5
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• pp.1-26
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• 2019

Purpose - We examine the disclosures on foreign divestment from China by 77 Korean firms between 2007 and 2016 to identify the effects (and their determinants) on parent firm value. Design/methodology - We analyze how divestment affects firm value by examining the disclosure of divestment from China by Korean firms. Then, we examine the determinants of these disclosure effects using cross-sectional regression analyses. Findings - We find negative effects on parent firm value in the short and medium term, and both the KOSPI and KOSDAQ stock markets show negative correlations between foreign divestment and firm value. The parent firm's financial condition and profitability and the reason for divesting are statistically significant determinants. Practical implications - Most Korean firms in China belong to the manufacturing industry. As a result, divestment signifies a loss of important manufacturing bases and assets. Originality/value - We analyze foreign direct divestment, which has not been studied in detail previously owing to a lack of data. In addition, this research is the first to compare the disclosure effects in the KOSPI market with those in the KOSDAQ market for the same period.