• The Journal of Asian Finance, Economics and Business
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• v.8 no.11
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• pp.107-120
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• 2021

The development of the ethnic minorities and mountainous areas (EMMA) is currently receiving the attention of countries around the world. This is demonstrated through a large number of studies, in many respects, in many different countries. The objective of the study is to find out the current situation of the commodity market in the ethnic minorities and mountainous areas (EMMA) of Vietnam. In particular, the authors will study whether there is a link between the ability to access governmental policies and the characteristics of this commodity market. To achieve the goal, the authors employed the secondary data collection method to gather the relevant information on government policies for EMMA and conducted an interview of seventy (70) enterprises in the Northern midlands and mountainous regions and the Central Coast to clarify the characteristics of commodity market. By Levene's test, the results showed that the accessibility to governmental policies has a certain influence on the development of the commodity market patterns in the EMMA in terms of diversification of distribution forms and sales method of the business. These findings brought some basic solutions to further enhance the role of the government in developing commodity markets in the EMMA of Vietnam.

• Journal of Intelligence and Information Systems
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• v.23 no.4
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• pp.127-146
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• 2017

Services using artificial intelligence have begun to emerge in daily life. Artificial intelligence is applied to products in consumer electronics and communications such as artificial intelligence refrigerators and speakers. In the financial sector, using Kensho's artificial intelligence technology, the process of the stock trading system in Goldman Sachs was improved. For example, two stock traders could handle the work of 600 stock traders and the analytical work for 15 people for 4weeks could be processed in 5 minutes. Especially, big data analysis through machine learning among artificial intelligence fields is actively applied throughout the financial industry. The stock market analysis and investment modeling through machine learning theory are also actively studied. The limits of linearity problem existing in financial time series studies are overcome by using machine learning theory such as artificial intelligence prediction model. The study of quantitative financial data based on the past stock market-related numerical data is widely performed using artificial intelligence to forecast future movements of stock price or indices. Various other studies have been conducted to predict the future direction of the market or the stock price of companies by learning based on a large amount of text data such as various news and comments related to the stock market. Investing on commodity asset, one of alternative assets, is usually used for enhancing the stability and safety of traditional stock and bond asset portfolio. There are relatively few researches on the investment model about commodity asset than mainstream assets like equity and bond. Recently machine learning techniques are widely applied on financial world, especially on stock and bond investment model and it makes better trading model on this field and makes the change on the whole financial area. In this study we made investment model using Support Vector Machine among the machine learning models. There are some researches on commodity asset focusing on the price prediction of the specific commodity but it is hard to find the researches about investment model of commodity as asset allocation using machine learning model. We propose a method of forecasting four major commodity indices, portfolio made of commodity futures, and individual commodity futures, using SVM model. The four major commodity indices are Goldman Sachs Commodity Index(GSCI), Dow Jones UBS Commodity Index(DJUI), Thomson Reuters/Core Commodity CRB Index(TRCI), and Rogers International Commodity Index(RI). We selected each two individual futures among three sectors as energy, agriculture, and metals that are actively traded on CME market and have enough liquidity. They are Crude Oil, Natural Gas, Corn, Wheat, Gold and Silver Futures. We made the equally weighted portfolio with six commodity futures for comparing with other commodity indices. We set the 19 macroeconomic indicators including stock market indices, exports & imports trade data, labor market data, and composite leading indicators as the input data of the model because commodity asset is very closely related with the macroeconomic activities. They are 14 US economic indicators, two Chinese economic indicators and two Korean economic indicators. Data period is from January 1990 to May 2017. We set the former 195 monthly data as training data and the latter 125 monthly data as test data. In this study, we verified that the performance of the equally weighted commodity futures portfolio rebalanced by the SVM model is better than that of other commodity indices. The prediction accuracy of the model for the commodity indices does not exceed 50% regardless of the SVM kernel function. On the other hand, the prediction accuracy of equally weighted commodity futures portfolio is 53%. The prediction accuracy of the individual commodity futures model is better than that of commodity indices model especially in agriculture and metal sectors. The individual commodity futures portfolio excluding the energy sector has outperformed the three sectors covered by individual commodity futures portfolio. In order to verify the validity of the model, it is judged that the analysis results should be similar despite variations in data period. So we also examined the odd numbered year data as training data and the even numbered year data as test data and we confirmed that the analysis results are similar. As a result, when we allocate commodity assets to traditional portfolio composed of stock, bond, and cash, we can get more effective investment performance not by investing commodity indices but by investing commodity futures. Especially we can get better performance by rebalanced commodity futures portfolio designed by SVM model.

• Communications for Statistical Applications and Methods
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• v.4 no.2
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• pp.589-610
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• 1997

When a modeling process is applied to an actual commodity market in the real world, interactions over closely related commodities through the marketing channel should also be formulated into the model to reflect the information that exists in the whole market system, otherwise unreliable estimates and test statistics may be produced by ignoring those effects. Single-equation type model in this case tends to yield inefficient estimates, and sometimes biased and inconsistent, which will mislead us. A system of equation method to examine the structure of the imported commodity market system is developed and its emtirical results are analyzed, then followed by some policy experiments and its implications.

• International Area Studies Review
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• v.14 no.1
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• pp.99-119
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• 2010

This study explores the natural gas market and the oil market in the U.S. and the European oil market. It focuses on two kinds of analyses; one is to confirm whether there is the predictive power between spot and futures within homogeneous commodity market(or inter-heterogeneous commodity market) through Granger-causality test in terms of the return rate and the volatility. The other is to examine the spot price stabilizing effect of futures price through regression analysis. When it comes to the predictive power of inter-commodity market, there was a conflicting aspect between the return rate of spot and futures. Overall, however, its statistical significance was low. With respect to the volatility, we found that the natural gas market has little influence on the oil market unlike the predictive power of oil market on natural gas market. Concerning the return rate of the predictive power within homogeneous commodity market, we found that the return rate of spot has the predictive power on futures only in the European market. In addition, we identified that there is feedback between spot and futures in the all commodity markets regarding volatility. As a result of the spot price stabilizing effect analysis of futures price, futures volatility increased the spot volatility.

• Journal of Distribution Science
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• v.16 no.6
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• pp.55-63
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• 2018

Purpose - Our Research is a study on the competition structure between retailers in traditional markets. Specifically, this study examined the effects of SSM, commodity supply store, Hanaro mart, food mart and other mart in traditional markets on retail stores of small businesses. The purpose of this study is to provide a solution to the market encroachment of large retailers in traditional markets. Research design, data, and methodology - This study is based on the data of 'Market Survey of Traditional Market·Shopping Mall and Store Management in 2016' and 'Current status of SSM(Super SuperMarket), commodity supply store, Hanaro mart, food mart and other mart in the traditional market in 2017' conducted by Small Enterprise and Market Service. In this study, a multiple regression equation was constructed using the number of SSM, commodity supply store, Hanaro mart, food mart and other mart as an independent variable and sales, number of customers as a dependent variable for analysis. Results - The increase of SSM and commodity supply stores in the traditional market affects the sales decrease of the surrounding small merchants in the traditional market. This means that the SSM and commodity supply stores can lead to the decline of the traditional market. However, it has been found that the penetration of these companies in traditional markets does not affect the number of visitors. Second, Hanaro mart's entry into the traditional market has a negative impact on the sales and visitor numbers of the surrounding small-scale merchants. The increase in the number of food mart has a significant effect on the sales and the number of visitors to the small stores. The results of this study indicate that the food mart can contribute to the revitalization of traditional markets. Lastly, other mart with more than medium size were found to affect the sales of small stores, the number of visitors. Conclusions - We examines the competitive structure among retailers in traditional markets. The penetration of large retailers in traditional markets has a negative impact on traditional markets, particularly Hanaro mart has a greater impact than SSM. We provide practical and theoretical implications for the retail competition structure in traditional markets.

• Journal of Korea Trade
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• v.27 no.5
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• pp.167-198
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• 2023

Purpose - This paper aims to compare and analyze the co-movements and information spillover effects between the international commodity futures markets and the South Korean stock markets during the COVID-19 and the 2008 financial crises. Design/methodology - The DCC-GARCH model is used in the co-movements analysis. In contrast, the BEKK-GARCH model is used to evaluate information spillover effects. The statistical data used is from January 1, 2005, to December 31, 2022. It comprises the Korea Composite Stock Price Index data and daily international commodity futures prices of natural gas, West Texas Intermediate crude oil, gold, silver, copper, nickel, soybean, and wheat. Findings - The results of the co-movement analysis were as follows: First, it was shown that the co-movements between the international commodity futures markets and the South Korean stock markets were temporarily strengthened when the COVID-19 and 2008 financial crises occurred. Second, the South Korean stock markets were shown to have high correlations with the copper, nickel, and crude oil futures markets. The results of the information spillover effects analysis are as follows: First, before the 2008 financial crisis, four commodity futures markets (natural gas, gold, copper, and wheat) were shown to be in two-way leading relationships with the South Korean stock markets. In contrast, seven commodity futures markets, except for the natural gas futures market, were shown to be in two-way leading relationships with the South Korean stock markets after the financial crisis. Second, before the COVID-19 crisis, most international commodity futures markets, excluding natural gas and crude oil future markets, were shown to have led the South Korean stock markets in one direction. Third, it was revealed that after the COVID-19 crisis, the connections between the South Korean stock markets and the international commodity futures markets, except for natural gas, crude oil, and gold, were completely severed. Originality/value - Useful information for portfolio strategy establishment can be provided to investors through the results of this study. In addition, it is judged that financial policy authorities can utilize the results as data for efficient regulation of the financial market and policy establishment.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.78
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• pp.53-72
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• 2018

Recently, it has been known that it need to be solved export marketing on expanding export of Small Business Commodity. Therefore, the purpose of this paper is to analyse on expanding export of Small Business Commodity through e-Trading Application in Industrie 4.0. This study deals with the terms of three connection success factors on expanding export of Small Business Commodity through e-Trading Application in Industrie 4.0 which are a firm's subjective factors, a industrial environment factors, and a governmental policy factors. According to analysis results of the three success factors, a firm's subjective factors(4.13 score) are scored at the most ones of the three success factors, to be compared with a industrial environment factors(3.89 score), with a government policy factors(3.72 score). Therefore, first of all, it is important to expanding export of Small Business Commodity through e-Trading Application in Industrie 4.0 through as follows, a firm's subjective factors : (1) to procure concentrated market strategy and real market capacity, (2) to procure speedy satisfaction of customer needs and confidence, (3) to procure ability of export marketing through e-Trading Application, (4) to enhance export expanding strategy coincided in Industrie 4.0. And, the next, we have to expanding export of Small Business Commodity through e-Trading Application in Industrie 4.0 through considering a industrial environment factors and a government policy factors.

• 사회경제평론
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• no.38
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• pp.129-161
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• 2012

This paper suggests that, in contrast to main argument of Efficient Market Hypothesis, hedge funds's financial speculation activity in the commodity markets are tending to generate a malfunction of making future price diverge from fundamental price. For this reason, we insist that stricter regulation on commodity derivative markets, including position limitation, is needed. Using some statistic analysis tools, we show that derivative transaction volume is getting so larger that financial speculation by hedge funds dominates price movement in commodity market and eventually slackens the speed of price's return to the fundamental price.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2007.11a
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• pp.487-490
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• 2007

Even though the domestic CM market has expanded in size continually since 2000, concerns of obstacles for vitalizing CM market have risen. A critical concern is clients' low recognition and motivation to make use of CM services. In this situation, it is important for CM firms to actively promote their marketing activities. The objective of this paper is to identify major characteristics of CM firms' marketing strategies and methods in relation to the management of CM service as a commodity.

• Journal of the Korean Society for information Management
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• v.32 no.3
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• pp.183-197
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• 2015

The purpose of this conceptual paper is to identify the library services market and its characteristics versus the common commodity market so that marketing and management in library services can be more fruitful in terms of research and development. Based on the developed hypothetical market, a library services market is identified; the market is then characterized in comparison to the common commodity market using three theoretical characteristics of the library services market: indirect exchange, limited competition, and time-lagging exchange. Based on these characteristics, two possible research directions are suggested: development of goals for library management and consideration of applications in library marketing.