• 유통과학연구
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• 제17권9호
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• pp.117-125
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• 2019

Purpose - We investigate how to increase consumer incentives to buy public offering funds, resulting in activating the public offering fund market. In particular, this study aims to find ways to expand diversity and to improve efficiency of public offering fund. The public fund market of Korea has been stagnant in recent years. However, the public offering fund market plays a very significant role in terms of consumer welfare. Since only a few wealthy investors can participate in the private equity market, the stagnation in the public offering fund market usually reduces the opportunity of consumer's buying funds thus ultimately affecting their future wealth. Research design, data, and methodology - To attain our purpose, the 'factor-based portfolio strategy' has been considered. It is an alternative portfolio strategy, which composites the advantages of the passive management and active management. For our empirical anaylsis, we used global stock distribution market data over the period of 1991 and 2016. Then we constructed portfolios based on firm-size, firm-value, and momentum. Finally, a regression model was set, then hypotheses were tested, analyzing the performances. Results - First, among the 15 factor-based portfolios of global, Europe, Asia-Pacific(ex Japan), US and Japan, in eight portfolios, positive excess returns are observed at 5% significance level. Further, there is another portfolio with positive excess return at 10% significance level. Second, most of the portfolios with significant excess performance show positive relationship with the market portfolio. However, the firm-value based portfolio in Asia-Pacific region shows no relationship, and the firm-value based portfolio in US shows negative relationship. Third, we confirmed that the two firm-value factor portfolios in Asia-Pacific region and US, not having positive relationship with market portfolio, provide significant excess returns. Conclusions - In this paper, we provide empirical evidences supporting that the factor-based portfolios expand the diversity of funds and improve the efficiency of investment performance. However, there is no guarantee that the efficiency will continue in the future. In addition, various constraints and costs must be considered. Nevertheless, our novel findings in the advanced financial market such as US and Asia-Pacific are very interesting and offers important implications.

• 한국정보전자통신기술학회논문지
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• 제10권1호
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• pp.117-124
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• 2017

본 논문에서는 미용기기 분야에 대한 특허 동향 분석을 통해 주요 경쟁자별 기술경쟁력 등의 분석을 실시하고, 지식재산권 중심의 기술 동향 분석 등을 바탕으로 과제기술의 특허 포트폴리오 및 특허 확보 전략을 도출하였다. 전략적인 IP(Intellectual Property) 기반 연구개발 계획 수립에 활용할 수 있도록 특허 포트폴리오를 분석하여 특허 장벽 및 공백분야를 제시함으로써, 연구개발의 방향을 설정하기 위한 기초정보로 활용하여 중복연구를 방지하고 연구개발과제 수행의 타당성에 대한 객관적인 특허정보를 제공하고자 한다.

• 가정과삶의질연구
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• 제22권6호
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• pp.165-175
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• 2004

The purpose of this study was to classify the household financial strategies and investigate major determinants of the household financial strategies and financial performance. The data of 3,994 households is from the Korean Labor and Income Panel Stud?. The major findings were as follows. (1) The classified household financial strategies types were Residual ($44.6\%$), Informal Institutional ($13.3\%$), Financial Assets ($16.7\%$), Real Estate ($13.4\%$), and Diversified Portfolio ($12.0\%$). (2) The criteria of classification of the household financial strategies were relative, not absolute. (3) The household financial strategy types changed largely during a short period(1999-2000). (4) In all households, the variables that affected changes in household financial strategies were education, occupation, number of children, residential location and home ownership. (5) Households that employed a diversified portfolio strategy had the greatest financial performance (2,316,000 won net gain). (6) In all households, the variables that had the greatest influence on financial performance were the number of children, assets and debts. 1'he financial performance was significantly different according to changes in the household financial strategy.

• International Journal of Advanced Culture Technology
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• 제10권3호
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• pp.220-225
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• 2022

The purpose of this study is to develop an e-teaching portfolio to perform a teaching portfolio of an instructor on the web. I order to carry out this study, an initial model of the e-teaching portfolio was developed through systematic literature review, and the final e-teaching portfolio was developed by selecting and applying five students, then modifying and supplementing them. The study period was from May 1 to May 20, 2022. As a result of the study, the components of the finally developed e-teaching portfolio are Step 1: Understanding oneself, Step 2: Goal setting, Step 3: Learning strategy, Step 4: Self-check. In conclusion, the program developed through this study is a convenient function that can process everything in one place by connecting the fragmented teaching results, and the developed e-teaching portfolio can promote interaction between individuals by building a community. It has possible characteristics. In order to systematically activate the e-teaching portfolio developed through this study, it is necessary to establish an online management system for systematic operation. Furthermore, an institutional device is needed to guarantee the result of the developed e-teaching portfolio. In order to continuously manage the quality of the teaching portfolio, extrinsic rewards that stimulate the instructor's intrinsic motivation should be provided.

• 산업경영시스템학회지
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• 제46권4호
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• pp.63-73
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• 2023

This study explores modern portfolio theory by integrating the Black-Litterman portfolio with time-series clustering, specificially emphasizing K-shape clustering methodology. K-shape clustering enables grouping time-series data effectively, enhancing the ability to plan and manage investments in stock markets when combined with the Black-Litterman portfolio. Based on the patterns of stock markets, the objective is to understand the relationship between past market data and planning future investment strategies through backtesting. Additionally, by examining diverse learning and investment periods, it is identified optimal strategies to boost portfolio returns while efficiently managing associated risks. For comparative analysis, traditional Markowitz portfolio is also assessed in conjunction with clustering techniques utilizing K-Means and K-Means with Dynamic Time Warping. It is suggested that the combination of K-shape and the Black-Litterman model significantly enhances portfolio optimization in the stock market, providing valuable insights for making stable portfolio investment decisions. The achieved sharpe ratio of 0.722 indicates a significantly higher performance when compared to other benchmarks, underlining the effectiveness of the K-shape and Black-Litterman integration in portfolio optimization.

• 가정과삶의질연구
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• 제25권3호
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• pp.25-44
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• 2007

The purpose of this study was to classify the financial strategies and investigate major determinants of the financial performance in elderly households. This study used the data of 4,577households with all ages and 1,255 elderly households were from the Korean Labor and Income Panel Study(2000, 2003). The data were analyzed by various statistical methods such as frequency, mean-test, Duncan's multiple range test, k-mean cluster analysis and regression. The major findings were as follows: First, the classified household financial strategy types were Residual(44.3%), Financial Assets(24.0%), Informal Institutional(19.7%), Diversified Portfolio(7.6%), Real Estate(4.5%). Second, the criteria of classification of the financial strategies were relative, not absolute. Third, elderly households that employed a financial assets had the greatest financial performance (62,320,000 won net gain). Households with all ages that employed a diversified portfolio strategy had the greatest financial performance (98,360,000 won net gain). Forth, the determinants of the financial performance were significantly different according to the types of financial strategy.

• 한국정보통신학회논문지
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• 제15권3호
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• pp.501-509
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• 2011

본 논문은 국가 정보통신(IT)분야 연구개발(R&D)사업에 대한 전략과제를 선정하기 위한 모형을 제시한 것으로 우리나라 정부의 New IT R&D정책인 Smile-curve에 맞는 전략과제 선정을 위해 포트폴리오 모형을 적용하였으며, 포트폴리오 모형 중에서 정부정책의 효과적 반영을 위해 일반적인 R-R(Risk-Return) 포트폴리오 모형을 국가 R&D 체계에 맞게 개발 적용하였다. 또한, R-R 포트폴리오 모형의 평가항목 중 평가항목의 객관성 확보를 위해 TRM(기술로드맵)과 TLS(기술수준조사)자료의 항목을 사용하였으며, AHP(계층화분석)를 통하여 국가전략성, 시장성, 기술성 등 평가항목별 가중치를 설정함으로써 국가 R&D전략과의 연계성을 강화하였다. 또한, 본 모형을 국가 IT R&D 전략과제 선정에 적용한 결과 의미 있는 검증값이 나왔으며, 사업선정단계에서부터 사업의 불확실성을 줄이고 성공률을 높이는 전략과제를 선정하는데 기여하고자 한다.

• 한국콘텐츠학회논문지
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• 제15권9호
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• pp.465-477
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• 2015

강력한 모브랜드 자산을 구축하고 이를 레버리지로 이용하는 브랜드 확장의 활용은 다양한 장점에도 불구하고 모브랜드 자산의 약화 등 여러 부정적 측면도 고려해야 할 필요가 있다. 이에 반해 개별브랜드 전략의 활용은 브랜드 확장전략보다 세분시장 내에서 브랜드 고유의 정체성을 구축하고, 강력한 포지셔닝을 할 수 있다는 장점이 있지만, 강력한 브랜드 자산을 지니기 까지 많은 투자를 요구한다는 약점을 지니고 있다. 본 연구는 이와 관련해 브랜드 확장전략이 아닌 개별 브랜드 전략을 활용해 기업 브랜드 포트폴리오를 관리하는 경우에도 기업 브랜드가 보증의 역할을 수행하는 경우에는 기존 모브랜드의 자산 레버리지를 활용할 수 있는 성공적인 기업의 브랜드 관리 전략 대안이 될 수 있음을 실증하고자 하였다. 이를 위해 본 연구는 브랜드 포트폴리오 전략에 따라 구매의사결정에 영향을 미칠 수 있는 확인비용 및 결정비용의 역할을 검증하고, 각 전략이 의사결정 효율에 어떠한 차이가 가져오는지를 검증하고자 하였다. 연구결과 개별브랜드 전략을 활용하더라도 기업브랜드가 보증의 역할을 하는 수행하는 경우에는 브랜드 확장 전략과 같은 높은 의사결정 효율성을 기대할 수 있음을 확인하였다. 이를 바탕으로 본 연구는 개별 브랜드 전략을 활용하면서 기업브랜드를 통해 보증을 수행할 경우 개별브랜드 장점을 유지하면서 브랜드 관리 효율성은 제고할 수 있음을 제시하고 있다.

• Journal of the Korean Society for Industrial and Applied Mathematics
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• 제15권4호
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• pp.277-290
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• 2011

We define some multi-type asset models derved from L$\acute{e}$vy proceses which emphasize coefficients of stochastic differential equations. Also these asset models can be represented by Doleance-Dade linear equations derived from jump-type semimartingales which are decomposed by various terms of time basically. For these asset models, we can construct optimal portfolio strategy by using filtered various information at each check time.

• Journal of the Korean Society for Industrial and Applied Mathematics
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• 제14권4호
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• pp.211-224
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• 2010

We define some asset models which are useful for portfolio construction in various terms of time. Our asset models are geometric jump-diffusions defined by the solutions of stochastic differential equations which are decomposed by various terms of time basically. We also can study pricing and hedging strategy of options in our models roughly.