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

• The Korean Journal of Financial Studies
• /
• v.14 no.1
• /
• pp.15-39
• /
• 2008

본 연구에서는 미국, 영국, 한국 금융시장의 주식, 회사채, 국채, 부동산지수와 상품지수로 구성된 포트폴리오에서의 상품지수의 역할을 실증적으로 제시하고자 했다. 일반적인 금융상품으로만 구성된 포트폴리오와 상품지수가 포함된 포트폴리오의 수익률과 위험을 비교 분석하여 상품지수의 포트폴리오 구성요소로서의 타당성을 검증했다. 또한, 국가별 통화정책의 변화에 따라 분석기간을 긴축정책기와 확장정책기로 구분하여 그 성과를 비교함으로써 상품지수가 인플레이션 헤지수단이 될 수 있는지를 확인하고자 하였다. 미국과 영국의 경우 GSCI지수는 긴축기에 다른 금융자산에 비해 위험대비 수익률이 높아 포트폴리오 편입비중이 크며, 포트폴리오의 효율성을 높이는 것으로 분석되었다. 영국의 경우 환율을 적용하기 전과 후의 분석결과가 크게 상이하지 않으나, 한국의 경우 환율을 적용한 GSCI지수의 포트폴리오 편입비중은 미국, 영국시장과 유사한 결과를 보이나, 환율과 GSCI지수를 각각 독립적인 자산으로 편입하여 분석할 경우 그 효과는 미미한 것으로 나타났다. 즉, 환율을 적용하여 편입한 GSCI지수의 포트폴리오 수익률 상승효과 중 상당한 부분이 환율로 인한 것이며, 해외시장의 경우와 단순히 비교하기는 어렵다는 점이다. 따라서, 우리나라의 경우는 미국, 영국과 달리 환율을 적용한 상품지수가 인플레이션에 대한 헤지수단이 되나, 환율효과가 지배적이므로 상품지수 자체의 공헌도는 높지 않다고 평가된다.

• Journal of Distribution Research
• /
• v.17 no.5
• /
• pp.85-111
• /
• 2012

Introduction : The purpose of this study was to examine the relationship between perceptual characteristics of consumers and intent of relational continuance for PB(Private Brand) products in discount stores. This study was conducted as an empirical study based on survey. For the empirical study, factors of PB products as characteristics perceived by consumers such as perceived quality, store image, brand image and perceived value were deduced from preceding studies. The effect of such factors on intent of relational continuance mediated by brand trust and brand equity of PB products was structurally examined. Research Model : Based on theory analysis and hypotheses, constructed a Structural Equation Model(SEM). The research model is shown in Figure 1. Research Method : This paper is based on s qualitative study of selected literature and empirical data. The survey for empirical study was carried out on consumers in Gyeonggi and Busan between January 2012 and May 2012. 300 surveys were distributed and 253 (84.3%) of them were returned. After excluding omissions and insincere responses, 245 surveys (81.6%) were used for final analysis as effective samples. Result : First of all, the Reliability was carried out for instrument used. The lower limit of 0.7 for Cronbach's Alpha as suggested by Hair et al. (1998). And Construct validity was established by carrying out exploratory factor analysis by Varimax rotation for all. Four factor result for the consumer's perceptual characteristics of PB Products, two mediating factors and one dependent factor. All constructs included in research framework have acceptable validity and reliability. Table 1 shows the factor loading, eigen value, explained variance and Cronbach's alpha for each factor. In order to assure validity of constructs, I implemented Confirmatory Factor Analysis (CFA), using AMOS 20.0. In confirmatory factor analysis, researcher can take control over the specification of indicators for each factor by hypothesizing that a specific factor is loaded with the relevant indicators. Moreover, CFA is particularly useful in the validation of scale for the measurement of specific construct. CFA result summarized Table 2 shows that the fit measures of all constructs fulfill the recommended level and loadings are significant. To test causal relationship between constructs in the research model, used AMOS 20.0 that provides a graphic module as method for analysing Structural Equation Modeling. The result of hypothesis test is shown in Table 3. As a result of empirical study, perceived quality, brand image and perceived value as selected attributes for PB products showed significantly positive (+) effect on brand trust and brand equity. Furthermore, brand trust and brand equity showed significantly positive (+) effect on intent of relational continuance. However, store image of discount stores selling the PB products was analyzed to have positive (+) effect on brand trust and no significant effect on brand equity. Discussion : Based on the results of this study, the relationship between overall quality, store image, brand image and value perceived by consumers about PB products and intent of relational continuance was structurally verified as being mediated by brand trust and brand equity. Looking at the results, a strategic approach that maximizes brand trust and equity value for PB products by large discount stores is required on top of basic efforts to improve quality, brand image and value of PB products in order to maximize consumer's intent of relational continuance and to continuously attract repeated purchase of products.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
• /
• v.8 no.2
• /
• pp.89-102
• /
• 2018

With the development of mobile technology, asset management on the Internet have also developed a lot. Drawing on Technology Acceptance Model, this study examines YUEBAO deployment to model consumers' purchase intention to use financial products offered online. In this study, we hypothesized that the characteristics of online asset management product will affect the purchase intention through perceived usefulness and conduct empirical analysis on Chinese consumers. In the study model, the independent variables were considered to include individual involvement, experience, product protection, corporate credibility, convenience, mobility, and familiarity. In addition, the parameters constitute the usefulness, and the dependent variable is the purchase. The results are as follows. First, YUEBAO's complementarity, corporate credibility, convenience, and familiarity have a significant influence on YUEBAO's usefulness. Second, The YUEBAO's usefulness has a noticeable effect on the purchase intention. To perceive the high usefulness, the practicality strategy of enhancing the protection property, corporate reliability, convenience and familiarity of the online asset management product is needed. The study of consumer purchase behavior and consumer purchase intention of online wealth management products is very valuable for academic and practical work.

• Journal of Venture Innovation
• /
• v.6 no.3
• /
• pp.221-240
• /
• 2023

In a recent study conducted in South Korea, a nation grappling with the implications of an increasingly super-aged society, researchers empirically analyzed the factors influencing seniors' satisfaction with financial institutions' wealth management (WM) services. We surveyed 250 seniors who utilized financial institutions' wealth management services. Independent variables such as product(diversity, profitability, stability), employee(expertise, problem-solving ability, customer orientation), physical evidence, process, inheritance service, and trust service were carefully examined. Employing hierarchical regression analysis, we tested hypotheses within an established research model. The findings revealed that variables like product stability and profitability, employee problem-solving ability, customer orientation, process, inheritance service, and trust service significantly positively affected satisfaction with WM services. In contrast, no substantial association was detected between satisfaction and factors like product diversity, employee expertise, or physical evidence. Among the influential factors, the order of impact was determined to be employee customer orientation, problem-solving ability, trust service, product stability, inheritance service, product profitability, and process. This research provided essential insights into the nuanced preferences and needs of seniors concerning wealth management services. The detailed examination of the subject might also shed light on similar challenges faced in the other aging societies. As the global population continues to age, the implications of this study could reach far beyond the borders of South Korea. By understanding these key determinants of satisfaction, financial institutions worldwide can tailor their wealth management services to better meet the unique demands of the senior population.

• The Journal of Society for e-Business Studies
• /
• v.12 no.3
• /
• pp.19-31
• /
• 2007

In this research, we propose the operational method of the RFID-based NPI (National Product Identifier) which can manage product assets for the Korean government in the future. First of all, we present the operational concept of the national product asset management. Second, we suggest the structure of the NPI which accommodates ISO/IEC 15459 and the method to encode NPI and related data to ISO/IEC 18000-6C tags. Finally, we propose the operational business processes to generate and manage NPI in the stages of product procurement and product asset management.

• The Korean Journal of Financial Studies
• /
• v.3 no.1
• /
• pp.163-177
• /
• 1996

제일경제연구소는 국내기업의 파생상품 이용현황, 파생상품의 유형과 거래목적 및 리스크 관리체제 등을 파악하기 위하여 KOSPI 200의 구성기업과 상장 금융기관을 대상으로 설문조사를 실시하였다. 국내기업의 해외파생상품의 거래는 최근 지속적으로 증가하고 있으며, 특히 금리관련 파생금융상품의 거래가 크게 증가하고 있다. 이는 국내기업이 환율 및 국제금리의 변동리스크를 헤지하거나, 자금조달 및 운용을 비롯한 종합적인 자산 부채의 관리를 위하여 파생금융상품을 적극적으로 이용하기 시작했음을 시사하고 있다. 국내기업의 파생상품 이용은 전반적으로 대기업 중심으로 이루어지고 있고, 금융기관들은 비금융기관들에 비해 거래소상장 파생상품의 이용률이 높은 것으로 나타났다. 그리고, 국내기업들은 투기적 목적보다는 환을, 금리, 상품가격변동의 리스크를 헤지할 목적으로 파생상품을 이용하는 것으로 나타났다. 특히, 환율 및 국제금리의 변동리스크를 관리하기 위하여 많은 기업들이 스왑을 이용하고 있다는 사실은 주목할만 하다. 많은 기업들이 정기적인 보고체제를 갖추고 있지 않은 것으로 파악되었는데, 국내기업의 장외파생상품에의 높은 의존도를 고려할 때 리스크 관리체제의 중요성을 다시 한번 인식할 필요가 있겠다.

• Korean System Dynamics Review
• /
• v.15 no.4
• /
• pp.5-28
• /
• 2014

Derivatives can be easily bought by those companies that need to hedge foreign currency debt or foreign currency assets through the financial market, considering their exchange rate exposure from international trade. The derivatives market has been growing rapidly due to the needs for investment and hedging. To manage foreign exchange risk, companies hedge risks through financial derivatives. According to our study, hedging is an effective way to mitigate the impact of exposure to exchange risk, as long as companies are only hedging underlying assets. Yet, covetous attitude toward the profit from derivatives and unexpected changes in exchange rate can cause problems for companies. This study analyzed the structural risks of derivatives with analysis of system dynamics. In particular, many companies suffered substantial loss due to KIKO during the economic crisis. We explained the problem therein through dynamic analysis. In addition, we revealed the structural problem that could cause a sudden spike in losses through simulations.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.5 no.6
• /
• pp.571-579
• /
• 2004

The purpose of the study is to know the current status of the assets backed securities(ABS) in Korea. ABS enables banks, depository institutions, finance companies, and other corporations to liquefy their assets (i.e., raise cash by borrowing against assets) and develop new sources of capital. ABS are bonds that represent pools of loans of similar types, duration and interest rates. By selling their loans to SPC, the originator recover cash quickly, enabling them to make more loans. The ABS market in Korea has grown so rapidly since Financial Crisis in Korea. In current, So many different types of loans are securitized and sold in the investment markets. For more prospering ABS in Korea, some problems in ABS should be make up.

• The Journal of the Convergence on Culture Technology
• /
• v.4 no.1
• /
• pp.219-224
• /
• 2018

Financial Assets have various characteristics, the benefits from which create demands for the financial assets. Based on the financial benefits, this article analyzes the influential factors on Korean households' financial portfolios. Provided that profitability and safety remain constant, it shows that individuals' most preferred characteristics have a significant impact on their selection of financial assets. Main demographic variables and financial status can also be considered to be influential factors according to the financial asset categories. Additionally, a further study on the substitution between financial assets would be helpful for developing new financial instruments.