• Korean Journal of Mathematics
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• 제16권2호
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• pp.145-156
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• 2008

When we consider a life insurance company that sells a large number of continuous T-year term life insurance policies, it is important to find an optimal strategy which maximizes the surplus of the insurance company at time T. The purpose of this paper is to give an explicit expression for the optimal reinsurance and investment strategy which maximizes the expected exponential utility of the final value of the surplus at the end of T-th year. To do this we solve the corresponding Hamilton-Jacobi-Bellman equation.

• International Journal of Quality Innovation
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• 제3권2호
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• pp.29-37
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• 2002

This paper presents a framework for processing a structured approach of R&D investment. It presents nine steps to operate R&D investment from analysis of environment situation to review and feedback its activity. Also fundamental questions fur effective R&D management in business are discussed and after that critical eight success factors for R&D investment are discussed.

• 대한산업공학회지
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• 제31권2호
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• pp.143-151
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• 2005

Information technology(IT) investment evaluation requires measurements from many perspectives. Except for the case of financial performance, these measurements mostly belong to the qualitative or intangible domain. The problem with IT investment evaluation lies in the fact that it is very difficult to define the qualitative properties against which to measure the performances. This paper addresses the issue of developing the set of performance indices, and defining the structural relationships between them, such that the IT investment evaluation can be done in a systematic, objective and comprehensive manner. We introduce the balanced scorecard strategy map as the backbone reference frame for the generation of performance indices and for the description of the relationships between them. Sample indices for evaluating projects from strategic perspectives are provided with a case example. A step by step follow through of the index generation process has been presented along with the case.

• Management Science and Financial Engineering
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• 제21권1호
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• pp.25-29
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• 2015

Recently much research efforts have focused on how to manage carbon emissions in logistics operations. This paper formulates a model to determine an optimal shipment size with aims to minimize the total cost consisting not only of inventory and transportation costs but also cost for carbon emissions. Unlike the literature assuming carbon emission factors as a given condition, we consider the emission factors as decision variables. It is allowed to make an investment in improving carbon emission factors. The optimal investment decision is shown to be of a threshold type with respect to unit investment costs. Moreover, the findings in this work provide insights on the various elements of the investment decision and their impacts.

• 한국융합학회논문지
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• 제12권4호
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• pp.249-258
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• 2021

최근 암호화폐거래소로 투자자들이 몰리면서 비트코인 가격이 급등락하고 있다. 본 연구의 목적은 딥러닝 모형을 이용하여 비트코인의 가격을 예측하고, 투자전략을 통해 비트코인의 수익성이 있는지를 분석하는 것이다. 비선형성과 장기기억 특성을 보이는 비트코인 가격 예측모형으로는 LSTM을 활용하며, 예측 가격을 입력변수로 하는 이동평균선 교차전략의 수익성을 분석하였다. 2013년부터 2021년까지의 LSTM 예측 가격을 이용한 비트코인 이동평균선 교차전략의 투자 성과는 단순 시장가격을 이용한 이동평균선 교차전략과 벤치마크전략 Buy & Hold 보다 각각 5.5%와 46% 이상의 수익률 개선 효과를 보여주었다. 최근 데이터까지 확장하여 분석한 본 연구의 결과는 기존의 연구들과 마찬가지로 암호화폐 시장의 비효율성(inefficiency)을 지지하고 있으며, 비트코인 투자자들에게는 딥러닝 모형을 이용한 투자전략의 실전 활용 가능성을 보여주었다. 향후 연구에서는 다양한 딥러닝 모형들의 성과 비교를 통해 최적의 예측모형을 개발하고 비트코인 투자전략의 수익성을 개선할 필요가 있다.

• 한국경영과학회지
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• 제40권4호
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• pp.19-33
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• 2015

Recently, interest in research and development (R&D) investment decisions have increased among Korean domestic enterprises. However, existing R&D investment studies only focused on government R&D investment policies while only a few studies investigated firm level R&D investment. Prior literatures also overlooked the feedback loop between R&D investment and firm performance. Therefore, this paper identifies a system dynamics model for R&D investment decision making in domestic electronics firms. The conceptual model is derived from R&D investment-related theories found in bodies of literature on company performance, enterprise activity, and market maturity. This study investigates the dynamic feedback between R&D activities and sales using the system dynamics model. In other words, the system dynamics model is used to explain the change in the closed feedback circulation structure in R&D investment activities including technology development, production process, and marketing that subsequently result in sales increase and re-investment into R&D from the generated revenues. There are two major results. First, a similar ratio of investment on technology development and production process derives the higher company sales. Second, regardless of market maturity, marketing investment ratio positively affects sales and R&D budget growth. This study provides a system dynamics model to find the optimal ratio for R&D investment and suggests managerial strategic implications on electronic firm R&D investment decision making under market maturity condition.

• The Journal of Asian Finance, Economics and Business
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• 제8권1호
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• pp.169-178
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• 2021

This research aims to test, firstly, how the disclosure of corporate social responsibility (CSR) helps to moderate the effect of family ownership on investment efficiency; secondly, how CSR disclosures mediate the effect of corporate governance on investment efficiency. STATA was used to analyze archival data collected from a total sample of 210 manufacturing companies listed on the Indonesian Stock Exchange (IDX), which were in the family businesses category for the period of 2016-2018. The first finding is that CSR moderates the effect of family ownership on investment efficiency. This implies that family businesses are very careful about investing. They will avoid risky decisions that may increase the economic wealth, but reduce the socio-emotional wealth. To maintain socio-emotional wealth, they tend to choose an underinvestment strategy and are more concerned with the prestige and good reputation of their families and dynasties than with economic wealth. Thus, CSR disclosures can reduce the underinvestment strategy of family businesses listed on the IDX. The second finding is that CSR disclosures are able to mediate the effect of corporate governance on investment efficiency. CSR activities play a major role in decision-making, and through CSR disclosures, corporate governance has a greater effect on investment efficiency.

• 지식경영연구
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• 제22권1호
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• pp.21-37
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• 2021

본 연구의 목적은 일반적으로 공유되어 있지 않은 Multi Strategy 관련 금융투자 지식을 사례 연구를 통해 탐색하고 이를 국내 헤지 펀드 시장에 공유하는데 있다. 현재 국내에서 본격적인 사모 헤지펀드 시대가 열리면서 많은 펀드들이 만들어지고 있지만 전략의 다양성에 있어 부족한 것이 현실이다(이준서, 2016). 초기 단순한 Equity Long/Short 전략으로 시작되어 메자닌, 대체투자 등 여러 전략들이 활용되고 있지만 Multi Strategy를 활용한 펀드는 제한적인 상황이다. 본 연구에서는 증권사 Prop Trading에서 적극적으로 활용되고 있는 Multi Strategy 기법을 이용해 Absolute Return을 달성하는 과정과 결과에 대한 사례 분석을 바탕으로 헤지펀드 운용전략에 대한 실증적인 활용 방안을 제시하고자 한다. 본 연구의 결과를 통해 헤지펀드 시장에서 Multi Strategy를 활용해 Absolutr Return을 추구하고자 하는 연구자 및 실무에서 운용하는 펀드매니저가 지식을 탐색하고 공유해서 금융 경쟁력 강화를 도모하는데 기여하고자 한다.

• 벤처창업연구
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• 제12권6호
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• pp.65-77
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• 2017

벤처캐피탈의 공동투자전략은 투자 위험의 분산과 투자 자원의 효율적 관리, 투자사에 관련된 정보비대칭 완화 관점에서 단독투자전략보다 장점이 있다. 공동투자는 다른 한편으로는 투자정보 공유 네트워크와 투자기회 확보를 위한 경쟁을 드러내 보이기도 한다. 본 연구는 2014년부터 2016년까지 3년간 공개된 한국 벤처캐피탈의 한국 스타트업에 대한 투자 정보를 수집 및 분석하여 벤처캐피탈의 투자 전략 및 네트워크에 대한 실증 분석을 수행한다. 네트워크 분석, 로지스틱 회귀분석 등을 포함한 통계적 검정을 수행한 결과 벤처캐피탈의 분야별 전문성(투자집중도), 내적역량(업력 및 전문인력의 수), 투자 네트워크, 피투자 스타트업의 업력 모두 공동투자여부에 영향을 끼친다는 증거를 발견할 수 없었다. 본 연구의 분석 결과 한국의 벤처캐피탈이 공동투자를 결정짓는 요인은 피투자기업의 사업 분야를 제외하면 투자금액의 크기와 보유 펀드의 규모 등 자금요인이 유일했다. 이 결과가 시사 하는 바는, 한국의 벤처캐피탈 대다수가 투자형태의 결정에 있어 자사의 전문성이나 피투자기업의 본연적 사업 리스크를 고려한다거나 투자기회정보의 공유를 통해 투자형태를 전략적으로 결정하기 보다는 단순 자금운용 측면에 경도되어 있지 않은가 하는 점이다.

• 산업경영시스템학회지
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• 제37권4호
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• pp.202-211
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• 2014

Pairs trading is a type of arbitrage investment strategy that buys an underpriced security and simultaneously sells an overpriced security. Since the 1980s, investors have recognized pairs trading as a promising arbitrage strategy that pursues absolute returns rather than relative profits. Thus, individual and institutional traders, as well as hedge fund traders in the financial markets, have an interest in developing a pairs trading strategy. This study proposes pairs trading rules (PTRs) created from a price ratio between securities (i.e., stock index futures) using rough set analysis. The price ratio involves calculating the closing price of one security and dividing it by the closing price of another security and generating Buy or Sell signals according to whether the ratio is increasing or decreasing. In this empirical study, we generate PTRs through rough set analysis applied to various technical indicators derived from the price ratio between KOSPI 200 and S&P 500 index futures. The proposed trading rules for pairs trading indicate high profits in the futures market.