• International Commerce and Information Review
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• v.16 no.4
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• pp.439-455
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• 2014

Korea-Japan trade has been trade deficit for a long time and therefore this matter must be a settled urgently for continuous economic growth of Korea. For reasons mentioned above, this study pays attention to Japan materials industry which has induced trade deficit in the Korea-Japan trade and this study analyzed competitiveness of Japan materials industry in the Korea market. This study special regard will be paid to the Compound and Chemical Products in Japan materials industry. For attaining the purpose of study, we collected related statistical data and Market Share Index, Trade Specialization Index and Market Comparative Advantage Index used in study methodology From this analysis, we found that most of Japan material products have competitiveness in Korea market and chemical products used in photography & photo sensitized materials, paint & printing ink products particularly have very strong competitiveness in Korea Market.

• International Area Studies Review
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• v.13 no.2
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• pp.643-666
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• 2009

When it comes to current balance, both of Korea and China enjoy the trade surplus in goods while both countries suffer trade deficit in service. This facts demonstrate that two countries have comparative disadvantages in service industry. In order to identify the international competitiveness of trade in service between Korea and China, several indexes such as TSI, RSCA and IMS was calculated, using the IMF's balance of payments (BOP) statistics as proxy. The results of this analysis are as follows. Korea has a comparative advantage in four sectors (Transportation services, Financial services, Royalties & license fees and Personal cultural recreation), while China has a comparative advantage in five sectors (Travel, Communication services, Insurance services, Computer & information services and Other Business services). Construction services are indeterminate. However, the competitiveness of the two sectors-communication and computer & information-which China has a comparative advantage will be transferred to Korea if some effort to reinforce the competitiveness is added because the gap is being narrowed.

• Journal of Korea Port Economic Association
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• v.27 no.1
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• pp.155-183
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• 2011

The purpose of this paper is to analyze competition status of Korean and Chinese vessels in the EU market. To achieve this purpose, this study uses Market Share Index, Export Bias Index, Trade Specialization Index, Export Similarity Index, and Market Share Expansion Ratio-Export Similarity Deepening Ratio as analyzing method. The statistical data used in this study are obtained from the trade statistics for 5 years(2005-2009) produced by Korean International Trade Association. The results of this study show that Korean ships are less competitive than Chinese ones in the EU export market in that Korea does not export various kinds of ships but export some restricted kinds of vessels even in the competitive ship, implying that Korea has been gradually losing its competitiveness. These results suggest that Korea should improve the competitiveness of shipbuilding industry by pursuing such differentiated strategies as exporting high value-added vessels while keeping on maintaining Korea's dominance over its competitive ships to overcome China's competitive advantage in the EU region.

• International Commerce and Information Review
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• v.13 no.2
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• pp.205-234
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• 2011

The study analyzes the shifts of international competition in the digital products market between South Korea and major FTA partners. The analysis utilizes trade statistics to calculate changes in the volume of trade, and in competitiveness between FTA partners. The target countries for this analysis include USA and the European Union with whom Korea has made agreements recently, and the period is set for the decade from 2000 to 2009. The trade records of the UN are employed to investigate the indexes of each country: trade structure and market share of digital products, the trade specialization index (TSI), and annual change of revealed comparative advantage index (RCA) against global market and both the American and EU markets. This analysis shows clearly the status quo of the development and growth of the international competitiveness of South Korea. The study will improve the understanding of international competitiveness in digital products and contents industry, which is rapidly evolving, and of the resulting industrial structure.

• International Commerce and Information Review
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• v.19 no.4
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• pp.127-145
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• 2017

The study focuses on the ICT industry, which is considered future growth engine. Tthe main objective of the research is to examine the extent of the competitiveness of the Chinese ICT industry, which is rapidly emerging as a competitor of the ICT industry in Korea. The ICT items subject to primary analysis of this study were computer and peripherals items. Analysis methods used were MSI (Market Share Index), EBI (Export Bias Index), and MCA (Market Comparative Advantage). The analysis period was from 2008 to 2016, and the analysis dater used were the export-import data provided by KITA. According to the study, Korean market share of Chinese computers and peripherals items has continued to increase, exports concentrated on the Korean market are intensifying, though the degree of competitiveness gained by the Korean market is quite strong. In particular, 852851, 847160 items have the largest competitiveness in the Korean market compared to other items used in this study. The implications of this study for the Korean market are as follows: i) improvement of quality with price ii) convergence product development between computer and peripherals items and consumer -friendly design development, and iii) marketing efforts to improve product awareness so that consumers recognize Korean computer and peripherals products.

• International Commerce and Information Review
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• v.15 no.4
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• pp.27-46
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• 2013

The objective of this study is to analyze the export performance of Korean eyewear products in China market, and derive some implications from the results of the analysis. For the analysis, the statistical data from 2003 to 2013 produced by Korea International Trade Association were used, and Market Share Index, Trade Specialization Index, and Revealed Comparative Advantage Index as an analyzing method were selected. According to the analysis, Korea's eyewear goods market share in China's glasses market was less than 5% on average during the analyzing period amid recording chronic deficits in Korea's eyewear commodities trade to China and by product, contact lenses were competitive, while eyeglass frames, eyeglasses, eyeglass lenses and sunglasses were not competitive. The suggestions for revitalizing Korea's eyewear products exports to the China market are as follows: First, Korea's glasses industry must enhance the ability to develop creative and distinctive product design to meet the needs of Chinese consumers. Second, to meet Chinese consumers preferences, Korea's glasses industry must actively produce new materials and functional products. Third, Korea's glasses industry must improve brand awareness through the continuous launch of new products for the Chinese market. Fourth, Korea's glasses industry must actively promote strategic alliances with domestic and foreign enterprises, and the Hallyu marketing. Fifth, Korea's glasses industry must reasonably improve the unusual products distribution system. Finally, The government must prepare a systematic support system for eyeglasses industry.

• Journal of Intelligence and Information Systems
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• v.27 no.1
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• pp.65-82
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• 2021

Stock market investors are generally split into foreign investors, institutional investors, and individual investors. Compared to individual investor groups, professional investor groups such as foreign investors have an advantage in information and financial power and, as a result, foreign investors are known to show good investment performance among market participants. The purpose of this study is to propose an investment strategy that combines investor-specific transaction information and machine learning, and to analyze the portfolio investment performance of the proposed model using actual stock price and investor-specific transaction data. The Korea Exchange offers daily information on the volume of purchase and sale of each investor to securities firms. We developed a data collection program in C# programming language using an API provided by Daishin Securities Cybosplus, and collected 151 out of 200 KOSPI stocks with daily opening price, closing price and investor-specific net purchase data from January 2, 2007 to July 31, 2017. The self-organizing map model is an artificial neural network that performs clustering by unsupervised learning and has been introduced by Teuvo Kohonen since 1984. We implement competition among intra-surface artificial neurons, and all connections are non-recursive artificial neural networks that go from bottom to top. It can also be expanded to multiple layers, although many fault layers are commonly used. Linear functions are used by active functions of artificial nerve cells, and learning rules use Instar rules as well as general competitive learning. The core of the backpropagation model is the model that performs classification by supervised learning as an artificial neural network. We grouped and transformed investor-specific transaction volume data to learn backpropagation models through the self-organizing map model of artificial neural networks. As a result of the estimation of verification data through training, the portfolios were rebalanced monthly. For performance analysis, a passive portfolio was designated and the KOSPI 200 and KOSPI index returns for proxies on market returns were also obtained. Performance analysis was conducted using the equally-weighted portfolio return, compound interest rate, annual return, Maximum Draw Down, standard deviation, and Sharpe Ratio. Buy and hold returns of the top 10 market capitalization stocks are designated as a benchmark. Buy and hold strategy is the best strategy under the efficient market hypothesis. The prediction rate of learning data using backpropagation model was significantly high at 96.61%, while the prediction rate of verification data was also relatively high in the results of the 57.1% verification data. The performance evaluation of self-organizing map grouping can be determined as a result of a backpropagation model. This is because if the grouping results of the self-organizing map model had been poor, the learning results of the backpropagation model would have been poor. In this way, the performance assessment of machine learning is judged to be better learned than previous studies. Our portfolio doubled the return on the benchmark and performed better than the market returns on the KOSPI and KOSPI 200 indexes. In contrast to the benchmark, the MDD and standard deviation for portfolio risk indicators also showed better results. The Sharpe Ratio performed higher than benchmarks and stock market indexes. Through this, we presented the direction of portfolio composition program using machine learning and investor-specific transaction information and showed that it can be used to develop programs for real stock investment. The return is the result of monthly portfolio composition and asset rebalancing to the same proportion. Better outcomes are predicted when forming a monthly portfolio if the system is enforced by rebalancing the suggested stocks continuously without selling and re-buying it. Therefore, real transactions appear to be relevant.

• International Commerce and Information Review
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• v.15 no.2
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• pp.345-364
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• 2013

This paper analyzed the Trade Structure of environmental industry in Korea and some major countries in preparation for The Doha Development Agenda (DDA) Trade Liberalization Negotiation in the environmental goods. Based on 161 environmental goods list proposed by OECD, this paper examined the Trade Returns of worldwide environmental goods during the past 10 years from 2002 to 2011. The analysis showed that Korean environmental goods' International Market Share(IMS) in the world was 3.2%; trade specialization index(TSI) -0.128; Revealed Comparative Advantage(RCA) 1.002 in 2011. And Korea Export Similarity Index(ESI) to Japan was the highest rank in the world market. According to the results of investigation, it is clear that International Competitiveness of the Korean Environmental Industry was received a relatively poor evaluation compared with Korean trade scale. To strengthen the competitiveness, it is required that Korean government should make an effort to boost domestic environmental industry and promote systematically Trade Liberalization Negotiation including the enforcement of transient period for Korean environmental goods in the next DDA Negotiation.

• The Korean Journal of Financial Management
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• v.25 no.2
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• pp.165-190
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• 2008

The degree of informational asymmetry relating to the expiration of index derivatives is usually increased as an expiration day of index derivatives approaches. The increase in the degree of informational asymmetry may have some effects on trading behavior of investors. To examine what the effects look like, 'life cycle of index derivatives' in this study is defined as three adjacent periods around expiration day: pre-expiration period(a week before the expiration day), post-expiration period(a week after the expiration day), and remaining period. It is inspected whether stock investor's trading behavior is changed according to the life cycle of KOSPI200 derivatives and what the reason of the changing behavior is. We have four results. First, trading behavior of each investor group is categorized into three patterns: ㄱ-pattern, L-pattern and U-pattern. The level of trading activity is low for pre-expiration period and normal for other periods in the ㄱ-pattern. L-pattern means that the level of trading activity is high for post-expiration period and normal for other periods. In the U-pattern, the trading activity is reduced for remaining period compared to other periods. Second, individual investors have ㄱ-pattern of trading large stocks according to the life cycle of KOSPI200 index futures while they show U-pattern according to the life cycle of KOSPI200 index options. Their trading behavior is consistent with the prediction of Foster and Viswanathan(1990)'s model for strategic liquidity investors. Third, trading pattern of foreign investors in relation to life cycle of index derivatives is partially explained by the model, but trading pattern of institutional investors has nothing to do with the predictions of the model.

• Management & Information Systems Review
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• v.30 no.2
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• pp.237-255
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• 2011

This empirical study is focused on practical application of Range-Based Volatility which is estimated by opening, high, low, closing price of overall asset. Especially proper forecasting period is what I want to know. There is four useful Range-Based Volatility(RV) such as Parkinson(1980; PK), Garman and Klass(1980; GK) Rogers and Satchell(1991; RS), Yang and Zhang(2008; YZ). So, four RV of KOPSI 200 index during 2000.5.22-2009.9.18 was used for empirical test. The emprirical result as follows. First, the best RV which shows the best forecasting performance is PK volatility among PK, GK, RS, YZ volatility. According to estimating period forcasting performance of RV shows delicate difference. PK has better performance in the period with financial crisis of sub-prime mortgage loan. if not, RS is better. Second, almost result shows better performance on forecasting volatility without sub-prime mortgage loan period. so we can say that forecasting performance is lower when historical volatiltiy is comparatively high. Finally, I find that longer estimating period in AR(1) and MA(1) model can reduce forecasting error. More interesting point is that the result shows rapid decrease form 60 days to 90 days and there is no more after 90 days. So, if we forecast the volatility using Range-Based volaility it is better to estimate with 90 trading period or over 90 days.