• 산업경영시스템학회지
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• 제41권4호
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• pp.81-90
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• 2018

Modern investment theory has empirically proved that stock returns can be explained by several factors such as market risk, firm size, and book-to-market ratio. Other unknown factors affecting stock returns are also believed to still exist yet to be found. We believe that one of such factors is the operational efficiency of firms in transforming inputs to outputs, considering the fact that operations is a fundamental and primary function of any type of businesses. To support this belief, this study intends to empirically study the relationship between firm efficiency and stock price performance. Firm efficiency is measured using data envelopment analysis (DEA) with inputs and outputs obtained from financial statements. We employ cross-efficiency evaluation to enhance the discrimination power of DEA with a secondary objective function of aggressive formulation. Using the CAPM-based performance regression model, we test the performance of equally weighted portfolios of different sizes selected based upon DEA cross-efficiency scores along with a buy & hold trading strategy. For the empirical test, we collect financial data of domestic firms listed in KOSPI over the period of 2000~2016 from well-known financial databases. As a result, we find that the porfolios with highly efficient firms included outperform the benchmark market portfolio after controlling for the market risk, which indicates that firm efficiency plays a important role in explaining stock returns.

• 국제학술발표논문집
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• The 5th International Conference on Construction Engineering and Project Management
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• pp.459-466
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• 2013

Risk exists in all construction projects and resides among the collection of subcontractors and their array of individual activities. Wherever risk resides, the interrelation of participants to one another becomes paramount for the way in which risk is measured. Inherent risk becomes recognizable and quantifiable within network schedules in the form of consuming float - the flexibility to absorb delays. Allocating, owning, valuing, and expending such float in network schedules has been debated since the inception of the critical path method itself. This research investigates the foundational element of a three-part approach that examines how float can be traded as a commodity, a concept whose promise remains unfulfilled for lack of a holistic approach. The Capital Asset Pricing Model (CAPM) of financial portfolio theory, which describes the relationship between risk and expected return of individual stocks, is explored as an analogy to quantify the inherent risk of the participants in construction projects. The inherent relationship between them and their impact on overall schedule performance, defined as schedule risk -the likelihood of failing to meet schedule plans and the effect of such failure, is matched with the use of CAPM's beta component - the risk correlation measure of an individual stock to that of the entire market - to determine parallels with respect to the inner workings and risks represented by each entity or activity within a schedule. This correlation is the initial theoretical extension that is required to identify where risk resides within construction projects, allocate and commoditize it, and achieve actual tradability.

• Management Science and Financial Engineering
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• 제2권1호
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• pp.73-101
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• 1996

We show assets can be classified into diversifiable risks and non-diversifiable risks based on aggregate endowment and spanning so that in equilibrium agents eliminate diversifiable risks which must have zero values. Consequently, the benchmark portfolio that represents a pricing operator should have only a non-diversifiable risk, aggregate endowment should earn a positive risk premium over a riskless asset, and, even in incomplete markets, there should be a pricing operator represented by a function of aggregate endowment if any asset mean-independent of aggregate endowment is diversifiable. These results apply to both the CAPM and a representative agent model.

• 재무관리논총
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• 제13권1호
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• pp.133-160
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• 2007

본 연구는 중국 뮤추얼펀드를 대상으로 폐쇄형(48개), 개방형(17개)으로 구분하여 총 65개 펀드에 대해 성과를 측정해보고, 이를 통해 중국 뮤추얼펀드가 지수대비 어떠한 성과를 보여주고 있는지를 살펴보고자 한 연구이다. 성과 평가 실증기간은 폐쇄형 펀드가 2002년 1월 4일부터 2004년 12월 31일까지 3년으로 하며 개방형 펀드가 2003년 1월 3일부터 2004년 12월 31일까지 2년으로 하였다. 실증연구방법들은 CAPM에 기반한 트레이너 모형, 샤프 모형, 젠센 모형과 장세판단능력 측정 모형인 트레이너-마주이 모형이다.

• 경영과정보연구
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• 제33권5호
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• pp.249-260
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• 2014

본 연구는 우리나라의 코스닥시장을 대상으로 기업고유변동성과 주식수익률에 영향을 미치는 것으로 알려진 기업규모, 장부가/시장가, 주가순이익비율, 주가순자산비율, 주가현금흐름비율, 주가매출액비율, 거래회전율 등과 같은 기업특성변수들과 어떤 특징을 보이는 지를 우선적으로 알아보았다. 또한 실현범위변동성 및 기업고유변동성을 이용하여 주식에 투자할 경우 이들 변동성의 크기 따라 분류된 포트폴리오 간에 투자성과에 있어서 어떠한 차이를 보이는 지에 대해서도 살펴보았다. 분석결과에 따르면 기업고유변동성과 주가순이익비율, 주가순자산비율, 주가현금흐름비율, 주가매출액비율 거래회전율 등은 CAPM, FF-3요인 모형 둘 다 기업고유변동성이 높은 포트폴리오 일수록 기업특성변수들은 통계적으로 유의하게 높아지는 경향을 보였다. 즉, 기업고유변동성은 이들 기업특성변수들과 양(+)의 관계를 가지는 것으로 나타났다. 또한, 거래전략을 1/1/1, 즉, 포트폴리오 구성기간 1개월, 구성한 후 기다리는 기간을 1개월, 성과측정 기간 1개월로 정해서 실현범위변동성과 기업고유변동성이 주식의 기대수익률과 어떤 관계를 가지는 지에 대해 분석을 수행하였는데, 실현범위변동성과 기업고유변동성은 주식수익률과 체계적으로 양(+)의 관계를 가진다는 흥미로운 사실을 발견하였다.

• 재무관리연구
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• 제22권2호
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• pp.43-69
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• 2005

본 논문은 한국 주식시장에서 CAPM 베타의 시간에 따른 변동패턴을 설명하는데 있어서 베이지안 분석기법에 기반을 둔 확률베타모형(stochastic be model)이 기존의 조건부 베타모형이나 이변량 GARCH(1,1)모형보다 추정의 정확도나 베타의 설명력 측면에서 더 우월하다는 실증적 증거를 보여주었다. 확률베타모형으로 추정한 베타는 주식수익률의 횡단면 변동의 $30{\sim}50%$를 설명하는 반면, 다른 시변베타모형은 3% 이하의 설명력에 그쳤다. 이렇게 확률베타모형에서 추정된 베타의 높은 설명력은 흔히 시장이상현상으로 받아들여지고 있는 기업규모효과나 장부가/시가비율효과, 고유변동성효과들을 대부분 흡수하는 것으로 나타났다. 이것은 시장이상 현상들이 베타 참값의 변동과 밀접하게 관련되어 있으며, 기대수익률 변동과 깊은 관련이 있다는 합리적 자산가격결정의 입장을 지지하는 것으로 해석된다.

• 아태비즈니스연구
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• 제11권3호
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• pp.199-215
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• 2020

Purpose - This article tries to test if the conditional consumption capital asset pricing model (CCAPM) with bank credit for household as a conditional variable can explain the cross-sectional variation of stock returns in Korea. The performance of conditional CCAPM is compared to that of multifactor asset pricing models based on Arbitrage Pricing Theory. Design/methodology/approach - This paper extends the simple CCAPM to the conditional version of CCAPM by using bank credit for household as conditioning information. By employing KOSPI and KOSDAQ stocks as test assets from the second quarter of 2003 to the first quarter of 2018, this paper estimates risk premiums of conditional CCAPM and a variety of multifactor linear models such as Fama-French three and five-factor models. The significance of risk factors and the adjusted coefficient of determination are the basis for the comparison in models' performances. Findings - First, the paper finds that conditional CCAPM with bank credit performs as well as the multifactor linear models from Arbitrage Pricing theory on 25 test assets sorted by size and book-to-market. When using long-term consumption growth, the conditional CCAPM explains the cross-sectional variation of stock returns far better than multifactor models. Not only that, although the performances of multifactor models decrease on 75 test assets, conditional CCAPM's performance is well maintained. Research implications or Originality - This paper proposes bank credit for household as a conditional variable for CCAPM. This enables CCAPM, one of the most famous economic asset pricing models, to conform with the empirical data. In light of this, we can now explain the cross-sectional variation of stock returns from an economic perspective: Asset's riskiness is determined by its correlation with consumption growth conditional on bank credit for household.

• 품질경영학회지
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• 제28권1호
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• pp.1-12
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• 2000

Since Black Monday there has been a rash of systems developments which aimed at automating and upgrading the surveillance mechanism of monitoring the many facets of security trading. A more sophisticated mathematical model for detecting abnormal trading activities was created by Davis and Ord of Penn State along with Nobel prize laureates Solow and Modigliani of MIT. They used CAPM(Capital Asset Pricing Model) to explain the movements of stock price and applied an idea of residuals to detect unusual movements. In this paper, their idea is discussed and a new method is proposed, which involves a confidence interval of future observation in linear regression. One of the examples of the stock watch system adopting this statistical method is also presented.

• 재무관리연구
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• 제11권2호
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• pp.65-81
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• 1994

주식의 기대수익률과 체계적 위험과의 관계를 설명한 자본자산가격결정모형(CAPM)은 지난 30년간 많은 재무학자들에 의해 지속적으로 검증 받아 왔다. 물론, 자본시장의 효율성도 포함된 결합가설(結合假說)(joint hypothesis)의 검증이라는 어려운 점도 있으나, 일련의 연구는 기존에 발견된 주가이례(株價異例)현상을 설명하기 위해 새로운 위험 변수가 필요하다고 지적하였다. 이러한 방향으로의 연구 중 차별정보가설은 투자분석에 이용 가능한 정보의 양(量)이 위험측정의 불확실성을 결정하므로 주식의 수익률도 따라서 변하게 된다고 설명하고 있다. 본 연구는 기업의 다각화가 진행됨에 따라 각 사업단위의 회계정보 및 소속산업의 자료수집을 통한 정보의 양이 증가된다는 가정아래 차별정보가설을 실증 분석한다. 기업규모를 통제하여 구성한 포트폴리오 분석 방법은 다각화지 수가 낮은 기업이 체계적으로 높은 초과수익률을 갖는 것으로 나타났다. 이 분석결과는 차별정보가설이 예 상하는 바와 일치하는 결과로 해석될 수 있다. 그러나, 기업규모의 통제없이 구성한 다각화 포트폴리오의 분석결과와 개별기업 차원의 회귀분석 결과는 초과수익률과 기업의 다각화 정도가 선형 관계가 아닌 U자형의 관계에 있다는 것을 보여주고 있다.

• 지식경영연구
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• 제8권1호
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• pp.29-47
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• 2007

Threat is one special type of communication whereby one conveys opinion, knowledge, or attitude to another with an intention to influence and modify the latter's opinion or behavior. This research aims at identifying the antecedents and the effectiveness of threats applied in the process of purchasing decision-making. The research model integrates constructs derived from the literature of diverse discipline. The framework suggested explains the relative effects of threats, is tested empirically to verify the impacts on the influenced target's opinions and behaviors in buying centers. Data are collected from CAPM's members in Taiwan, and 208 respondents served as targets in the interpersonal relationships. LISREL findings indicate that threats are effective in winning a target's compliance. Additionally, influencing source's characteristics affect the choice of threats more strongly than target characteristics do. The relative ability of dependence on the source to cause manifest influence is even more significant than that of threats. Overall, the results of this study appear consistent with behavioral theories and research.