• 대한안전경영과학회지
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• 제15권4호
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• pp.407-416
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• 2013

This paper proposes an approach to analyzing the relationship between technology and services, and to identifying promising service areas for technology-based firms with the analysis of business model (BM) patents. First, BM patents and technology patents are collected and classified into their relevant categories, respectively. Second, patent citation analysis is conducted to analyze the linkage and impacts between each technology and service field at macro level. Third, as a micro level analysis, patent co-classification analysis is employed to identify the interrelationships among specific technology and service areas. Finally, the promising service areas for technology-based firms seeking service areas for diversification is investigated with portfolio analysis. The working of the proposed approach is provided with the help of a case study of IT and mobile services. The proposed approach could guide and help managers of technology-based firms to discover the opportunity of the diversification to new areas in emerging service fields.

• Communications for Statistical Applications and Methods
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• 제25권6호
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• pp.605-618
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• 2018

Risk management has been a crucial part of the daily operations of the financial industry over the past two decades. Value at Risk (VaR), a quantitative measure introduced by JP Morgan in 1995, is the most popular and simplest quantitative measure of risk. VaR has been widely applied to the risk evaluation over all types of financial activities, including portfolio management and asset allocation. This paper uses the implementations of multivariate GARCH models and copula methods to illustrate the performance of a one-day-ahead VaR prediction modeling process for high-dimensional portfolios. Many factors, such as the interaction among included assets, are included in the modeling process. Additionally, empirical data analyses and backtesting results are demonstrated through a rolling analysis, which help capture the instability of parameter estimates. We find that our way of modeling is relatively robust and flexible.

• 국제학술발표논문집
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• The 6th International Conference on Construction Engineering and Project Management
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• pp.210-212
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• 2015

The growth-share matrix is a portfolio planning tool developed by the Boston Consulting Group (BCG) to assist competitive positioning in the international market including those in the construction industry. This matrix is helpful in balancing the firm's cash-flow, and it can suggest strategic directions for each business unit. However, its effectiveness and applicability have long been debated in the academic field due to the complex and unique industrial context of construction. To solve the dispute, this research clarifies the applicability of theories underlying the growth-share matrix to the construction industry. Empirical research based on actual financial data of Korean construction firms is adopted for the statistical analysis including one-way analysis of variance and correlation analysis. The results of this research show that empirical findings on the relationship between performance variables. In this context, this research can provide important insights on the concept of portfolio management in the construction industry.

• 한국건설관리학회논문집
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• 제14권1호
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• pp.23-31
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• 2013

서브프라임 금융위기 이후 주택시장이 침체되면서 2000년대 초반과 같이 주택투자로 고수익을 올릴 수 있는 시기는 앞으로 찾아오지 않을 가능성이 이제 점차 높아지고 있다. 이에 따라 과거 고수익의 원천이 되었던 부동산 시장은 점차 수익형 부동산 등 안정적 수익을 획득할 수 있는 투자시장으로 변모하고 있다. 이에 따라 대표적인 간접투자상품인 리츠의 시장규모는 더욱 커질 것으로 판단된다. 그러나 아직까지 리츠시장은 일반적인 주택투자시장 및 금융시장보다 훨씬 더 그 성장이 미미한 실정이다. 하지만 포트폴리오 이론을 토대로 한 위험관리의 중요성이 투자의 매우 중요한 개념을 자리잡고 있는 바 리츠의 안정적인 수익 창출은 포트폴리오의 위험관리에 효과적일 것으로 판단된다. 이러한 관점에서 본 논문에서는 주식시장의 다양한 업종들 중 상대적으로 안정적인 수익을 확보할 수 있는 리츠가 포트폴리오에 편입되었을 때 위험 분산 효과를 실증분석하는 것을 목적으로 한다. 분석결과에서 확인할 수 있듯이 대표적인 경기방어주인 음식료업종과 마찬가지로 리츠업종 역시 전체 시장을 나타내는 코스피와 상관계수값이 상대적으로 낮은 것으로 나타났으며 최소분산포트폴리오로 구성했을 경우에도 표준편차가 매우 낮게 나오는 등 음식료업종과 같이 투자포트폴리오에 편입했을 경우 위험분산 효과를 기대할 수 있을 것으로 판단된다. 투자시장은 향후 미래의 불확실성에 따라 항상 위험을 감수해야 함에 따라 위험 대비 수익이 어느 정도인지가 매우 중요하다. 이러한 관점에서 리츠를 활용하여 포트폴리오를 구성할 경우 위험분산 효과를 획득할 수 있는 바 충분히 그 투자 효용성을 가지고 있을 것으로 판단된다.

• 품질경영학회지
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• 제51권4호
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• pp.573-588
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• 2023

Purpose: This study presents a research approach that utilizes deep reinforcement learning to construct optimal portfolios based on the business cycle for stocks and other assets. The objective is to develop effective investment strategies that adapt to the varying returns of assets in accordance with the business cycle. Methods: In this study, a diverse set of time series data, including stocks, is collected and utilized to train a deep reinforcement learning model. The proposed approach optimizes asset allocation based on the business cycle, particularly by gathering data for different states such as prosperity, recession, depression, and recovery and constructing portfolios optimized for each phase. Results: Experimental results confirm the effectiveness of the proposed deep reinforcement learning-based approach in constructing optimal portfolios tailored to the business cycle. The utility of optimizing portfolio investment strategies for each phase of the business cycle is demonstrated. Conclusion: This paper contributes to the construction of optimal portfolios based on the business cycle using a deep reinforcement learning approach, providing investors with effective investment strategies that simultaneously seek stability and profitability. As a result, investors can adopt stable and profitable investment strategies that adapt to business cycle volatility.

• Journal of the Korean Data and Information Science Society
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• 제24권6호
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• pp.1503-1520
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• 2013

For multi-line insurance companies, allocating the risk capital to each line is a widely-accepted risk management exercise. In this article we consider several applications of the Euler capital allocation. First, we propose visual tools to present the diversification and the line-wise performance for a given loss portfolio so that the risk managers can understand the interactions among the lines. Secondly, on theoretical side, we prove that the Euler allocation is the directional derivative of the marginal or incremental allocation method, an alternative capital allocation rule in the literature. Lastly, we establish the equivalence between the mean-shortfall optimization and the RORAC optimization when the risk adjusted capital is the expected shortfall, and show how to construct the optimal insurance business mix that maximizes the portfolio RORAC. An actual loss sample of an insurance portfolio is used for numerical illustrations.

• Agribusiness and Information Management
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• 제8권2호
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• pp.9-15
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• 2016

In several industries, including the agriculture industry, information and communication technology (ICT) expenditure has been gradually increasing. This study explores the ICT investment of Korean agricultural corporations, and examines the effect of ICT investment on their profitability using an IT portfolio framework. As the organizational capabilities and environment in which ICT is used is critical in examining its impact, the IT-savvy level is used as a moderator. An increase in ICT investment size results in a significantly positive effect on profitability in organizations with higher IT-savvy levels, whereas there is no effect in organizations with lower IT-savvy levels. This study shows the necessity of understanding the structure of ICT investments in the agriculture industry, and suggests the importance of organizational capabilities and environment in making best use of ICT.

• East Asian Economic Review
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• 제25권4호
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• pp.339-360
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• 2021

More donors are formally assessing their multilateral aid disbursement policies as well as the multilateral institutions that they contribute to. Analyzing OECD Creditor Reporting System data from 2011 to 2019 of 23 donors and 34 multilateral organizations, we find evidence of institutional portfolio building of donors to align multilateral and bilateral aid channels. Such tendency is more pronounced for core-funding than multi-bi funding and much stronger at the recipient country level than at the sectoral level. Smaller donors that operate from a limited multilateral budget show greater preferences for geographical similarity. When donors give to institutions with sectoral specialization, they seek sectoral similarity with their bilateral aid.

• Industrial Engineering and Management Systems
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• 제15권1호
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• pp.63-76
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• 2016

Multiperiod portfolio selection problem attracts more and more attentions because it is in accordance with the practical investment decision-making problem. However, the existing literature on this field is almost undertaken by regarding security returns as random variables in the framework of probability theory. Different from these works, we assume that security returns are uncertain variables which may be given by the experts, and take absolute deviation as a risk measure in the framework of uncertainty theory. In this paper, a new multiperiod mean absolute deviation uncertain portfolio selection models is presented by taking transaction costs, borrowing constraints and threshold constraints into account, which an optimal investment policy can be generated to help investors not only achieve an optimal return, but also have a good risk control. Threshold constraints limit the amount of capital to be invested in each stock and prevent very small investments in any stock. Based on uncertain theories, the model is converted to a dynamic optimization problem. Because of the transaction costs, the model is a dynamic optimization problem with path dependence. To solve the new model in general cases, the forward dynamic programming method is presented. In addition, a numerical example is also presented to illustrate the modeling idea and the effectiveness of the designed algorithm.

• 한국콘텐츠학회:학술대회논문집
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• 한국콘텐츠학회 2009년도 춘계 종합학술대회 논문집
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• pp.88-93
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• 2009

e-러닝 환경에서 e-포트폴리오는 교수자와 학습자 각각 수행한 수업 및 학습에 대한 전반적인 내용을 체계적으로 관리한 결과물로, 이를 활용할 경우 교수자에게는 수업 설계 및 강의를 돕고, 학습자에게 학습결과물을 확인함으로써 자기반성의 기회를 줄 수 있어 매우 유용하다. e-포트폴리오를 생성하기 위한 방법으로는 대표적으로 교수자 및 학습자로부터 직접 수집하는 방법과 e-러닝 시스템을 통한 학습활동의 결과물로 자동적으로 수집하는 방법이 있다. 본 논문에서는 e-포트폴리오를 사용목적에 적합하게 효과적으로 구성하기 위해 데이터를 계층화 하여 분류한 후에 교수자와 학습자의 활용 목적에 맞게 상황별로 구성하여 제공함으로써 효율적인 e-포트폴리오 관리를 할 수 있고, 또한 상황별 구성방식에 대한 로직을 추가함으로써 사용자는 자신만의 e-포트폴리오를 구성할 수 있다.