• Journal of Arbitration Studies
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• v.17 no.1
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• pp.137-155
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• 2007

Since China joined the WTO, the trade between Korea and China has continued to grow by leaps and bounds, making both nations become mutually important trading partners to each other. The volume of trades with China showed a rapid upward trend with an average annual increase rate of 20% and the resultant dispute is also rising. Thus, this study was aimed to make some suggestions and come up with ways of responding claims by surveying Korean trading firms which have experience in making transactions with China to investigate the current status and the actual condition of their occurrence. As a result of this study, firstly, the main cause of such dispute was shown to be the failure to perform the agreement. Secondly, there were malty verbal agreements and due to a deterioration of trust in Chinese firms, the method of a letter of credit was adopted by many Korean firms. Thirdly, the payment and credit appeared to be most important in transactions with China. A credit inquiry is a must in future transactions with China. Fourthly, the indirect cause of the occurrence of trade claims was the difference in commercial practices and as for the way of settling disputes, the agreement through negotiations between the parties involved was the most. Fifthly, small and medium firms should make more of their credit and English proficiency than large ones do.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.78
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• pp.73-91
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• 2018

When existing trade creates a product, a series of processes is terminated when a seller or a buyer subscribes for transportation insurance and is guided through customs procedures according to the terms of the sales contract and then receives payment for it. Training practical Trade kowhow is also educated focusing on the procedures of these contracts. A new paradigm of the fourth industrial revolution was launched in the development of information communication technology and computer technology. Also, due to the Xinhuo tradeism triggered by the United States, the risk of commodity trading is further increasing. Currently, trade practical education of university and industry is carried out for most lecture and discussion. Since 2014, the curriculumof the department of trade has been increasingly managed by the NCS process. The curriculumof the department of trade department has the advantage of being managed in consideration of the characteristics of the company that wishes to find employment and the level of work content. Standardized, the curriculumcan faithfully reflect the characteristics of the company and the level of the work content. In the new era, a new educational method that reflects the trend of the 4th industrial revolution era is necessary. In this research, we propose that service trade practical education should be educated mainly on contracts, not on procedural basis as with traditional commodity trade education.

• The Journal of Economics, Marketing and Management
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• v.10 no.2
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• pp.1-13
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• 2022

Purpose: The findings are expected to be used as basic data for policy establishment for systematic support and upbringing of small and medium-sized suppliers through the current status and characteristics of the industrial structure of the MRO consumable materials industry as a whole and the market trend. Research design, data, and methodology: This survey is conducted in 2019 mainly for companies that operate consumable materials delivery business, and the survey size is about 25,000 in advance (selected) and about 2,000 in the main survey. Using cluster analysis and multidimensional scaling, we derive the visualization of the homogeneous grouping of cases and the relationship structure between them. Results: Based on the attributes of reason for not having an online trading system, it is classified into three and four clusters for industry and company size, respectively, and the feature and pattern of each individual can be are relatively evaluated and visualized. Conclusions: Small and medium-sized consumable material suppliers specialize in products rather than fierce pricing strategies or external expansion strategies and it is more effective to establish a plan to promote the growth of both large and small enterprises through cooperation with large corporations.

• Korean Business Review
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• v.20 no.2
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• pp.15-27
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• 2007

This paper analyzed the relationship between Housing Purchase Price volatility of Seoul and Housing Purchase Price volatility of local large city. Other studies investigates the effect on the observed volatility Observed volatility consists of fundamental volatility and transitory volatility. Fundamental volatility is caused by information arrival and transitory volatility is caused by noise trading. Fundamental volatility is trend component and is modelled as a random walk with drift. Transitory volatility is cyclical component and is modelled as a stationary process. In contrast to other studies, this study investigates the effect on the fundamental volatility and transitory volatility individually. Observed volatility is estimated by GJR GARCH(1,1) model. We find that GJH GARCH model is superior to GARCH model and good news is more remarkable effect on volatility than bad news. This study decomposes the observed volatility into fundamental volatility and transitory volatility using Kalman filtering method. The findings in this paper is as follows. The correlation between Seoul housing price volatility and Busan housing price volatility is high. But, the correlation between Seoul and Daejeon is low. And the correlation between Daejeon and Busan is low. As a distinguishing feature, the correlation between fundamental volatilities is high in the case of all pairs. But, the correlation between transitory volatilities turns out low. The reason is as follows. When economic information arrives, Seoul, Daejeon, and Busan housing markets, all together, are affected by this information.

• KIPS Transactions on Software and Data Engineering
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• v.10 no.9
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• pp.367-374
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• 2021

Stock price prediction is a subject of research in various fields such as economy, statistics, computer engineering, etc. In recent years, researches on predicting the movement of stock prices by learning artificial intelligence models from various indicators such as basic indicators and technical indicators have become active. This study proposes a deep learning model that predicts the ups and downs of KOSPI from overseas indices such as S&P500, past KOSPI indices, and trading trends by KOSPI investors. The proposed model extracts a latent variable using a stacked auto-encoder to predict stock price fluctuations, and predicts the fluctuation of the closing price compared to the market price of the day by learning an LSTM suitable for learning time series data from the extracted latent variable to decide to buy or sell based on the value. As a result of comparing the returns and prediction accuracy of the proposed model and the comparative models, the proposed model showed better performance than the comparative models.

• The Journal of the Korea Contents Association
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• v.22 no.3
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• pp.81-93
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• 2022

The stock investing is one of the most popular investment techniques. However, since it is not easy to obtain a return through actual investment, various strategies have been devised and tried in the past to obtain an effective and stable return. Among them, the volatility breakout strategy identifies a strong uptrend that exceeds a certain level on a daily basis as a breakout signal, follows the uptrend, and quickly earns daily returns. It is one of the popular investment strategies that are widely used to realize profits. However, it is difficult to predict stock prices by understanding the price trend pattern of stocks. In this paper, we propose a method of buying and selling stocks by predicting the return in trading based on the volatility breakout strategy using a bi-directional long short-term memory deep neural network that can realize a return in a short period of time. As a result of the experiment assuming actual trading on the test data with the learned model, it can be seen that the results outperform both the return and stability compared to the existing closing price prediction model using the long-short-term memory deep neural network model.

• Journal of Korea Game Society
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• v.10 no.2
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• pp.67-80
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• 2010

Investigating the trend of online gamers plays an important role in forecasting, marketing and making policy decision in gaming industry. In this regards, various studies on gamers' trend and characteristics have been conducted. However, these precedent studies show limitation that they're static analysis since they are usually based on the surveys at a certain point. Therefore, this paper aims to identify some implications on forthcoming directions of gaming industry by analyzing dynamic trend of gamers based on the 8 years(from 2002 to 2009) of data from White Paper on Korean Games. Major implications found in this paper are as follows. Negative perception of games increases as the number of gamers increases. Among juveniles, games became a substitute for TV and the amount of time they play games depends on the existence and type of popular games of that time. Also, most item trading is intensively done by a small number of gamers.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.44
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• pp.85-107
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• 2009

L/C allows the exporter to have a bank's payment undertaking against shipping documents required by L/C. This means that the exporter can take export proceeds from a L/C issuing bank regardless of importer's payments and therefore the L/C better mitigate importer's credit risk compared to remittance and collections. Recently the use of L/C has been on down trend in line with increasing use of T/T, causing a big change of payment system. This tells that the payment method change in Korea is positive as the change also happens same in developed countries. This however gives more buyer's credit risk to exporters and therefore a systematic solution to this negative effect is required. In Korea, export credit insurance has been widely used to cover the buyer's credit risk. But the export credit insurance is limited because of lack of government's financial support and strict evaluation of buyer and exporter. Now Korea is ranked 10the largest trading country and therefore the exporters shall find another source for credit risk protection elsewhere. And as such this paper suggest International Factoring as a tool for the credit risk protection. The International Factoring gives advantages to the exporter in terms of credit protection and advances by purchasing account receivables on a without recourse basis.

• Fashion & Textile Research Journal
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• v.17 no.2
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• pp.168-177
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• 2015

The purpose of this study is to investigate sustainable fashion flows and to outline their characteristics by analysing Esthetica as the largest trade-based sustainable fashion exhibition in the UK. Most of the researchers have focused on its ethical meaning rather than on fashionable criteria or marketable value. This pioneer work could be helpful in order to plan and study sustainable fashion flows. The research method is to identify characteristics of sustainable fashion trends through literature reviews and case studies focused on the UK, Esthetica events and participating brands. The following results were obtained. Upcycling suggests the extension of a product's lifecycle, a trend on the increase. Transparency is the crucial issue in sustainable fashion. Estethica shows that nurturing sustainable brands is one effective way of boosting the sustainable industry, as well as encouraging the production of sustainable products. Sustainable fashion has come to be included in mainstream fashion in terms of aesthetics and commercial competitiveness. Finally, sustainable fashion highlights quality of garments. Thus, Esthetica shows the present of sustainable fashion and its future, that is, sustainable fashion not just as a trend but a lifestyle for both its consumers and the industry. As the sustainable industry is a growing sector, it would be useful to carry out separate in-depth case studies on leading sustainable brands and qualitative aspects.

• Journal of Multimedia Information System
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• v.8 no.3
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• pp.197-202
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• 2021

Bitcoin and blockchain are often making headlines not only on TV or media but also among the public in today's society. These technologies have been developed after the risk of the centralized financial system came to the fore during the 2007 global financial crisis. Since then, an anonymous inventor called Satoshi Nakamoto penned the bitcoin white paper where a blockchain-based reference implementation was introduced. Bitcoin was able to achieve unprecedented growth by positioning itself as one of the top global currencies in terms of market capitalization after five years since its development. The pace of Vietnam's economic development is notably fast among Asian nations, while the nation was expected to be a Southeast Asian blockchain hub but they have banned virtual currency trading recently. However, they've also designated the State Bank of Vietnam (SBV) as a responsible agency for the research of blockchain-based cryptocurrencies, the construction of a service ecosystem, and their test operations. The fast-growing economy, increasing number of smartphone users, and the Vietnam government's support policies for startups substantiate these efforts. Therefore, this paper attempts to study the current status of Vietnam's blockchain technology that has been considered to be the center of blockchain systems right behind Singapore, and its implications for Korean companies.