• 제목/요약/키워드: Hedge Funds Characteristics

검색결과 3건 처리시간 0.02초

Systems Thinking Perspective on the Sustainable Growth Strategy of Hedge Funds Market

  • 김태현;정삼영;엄재근
    • 한국시스템다이내믹스연구
    • /
    • 제17권3호
    • /
    • pp.91-120
    • /
    • 2016
  • This study explores hedge fund characteristics that affect hedge fund performance, namely, fund size, fund age, and performance fee. Previous studies have examined relationships between hedge fund characteristics and fund performance using singular and static thinking to report inconsistent findings without providing full understanding of the causal relationships among variables. To identify that comprehensive causal relationships between hedge fund characteristics and hedge fund performance, this research applies the system dynamics perspective, which allowed demonstration of the interactions within the overall system beyond the singular causal relationships between hedge fund characteristics and performance found in existing traditional research. This study contributes to existing literature in the following ways. First, it overcomes the limitations of singular research methodologies by looking at the integrated system of hedge fund characteristics and fund performance from a bird's eye view based on their dynamic feedback relationships. Second, policy suggestions in terms of regulation and education are presented as growth strategies for the sustainable development of the Korean hedge fund market.

퍼지신경망 모형을 이용한 헤지펀드의 생존여부 예측 (Using fuzzy-neural network to predict hedge fund survival)

  • 이광재;이현준;오경주
    • Journal of the Korean Data and Information Science Society
    • /
    • 제26권6호
    • /
    • pp.1189-1198
    • /
    • 2015
  • 글로벌 금융 위기 발생으로 헤지펀드의 영향력이 증가하면서 헤지펀드의 위험도와 생존여부를 가늠할 새로운 접근법이 필요하게 되었다. 본 연구에서는 헤지펀드의 데이터를 입력값으로 하는 퍼지신경망 모형을 통해 헤지펀드의 생존여부를 예측한다. 헤지펀드의 데이터는 그 변수가 불명확하고 내재적인 불확실성을 가지고 있어 생존 여부의 경계를 설정하는데 어려움이 있다. 따라서 생존 여부를 소속정도로 평가하여 불확실성을 모사할 수 있는 퍼지신경망 모형을 적용하여 예측하고 정확도를 평가한다. 또한 다른 인공지능 방법론들을 이용하여 평가한 결과와 제시한 모형의 성과를 비교하여 그 차이점을 확인한다. 본 연구의 실험결과를 통해 퍼지신경망 모형의 예측력을 확인했으며, 향후 투자자들이 헤지펀드 투자에 대한 의사를 결정하는데 도움을 줄 것으로 기대한다.

Empirical Analysis on Profit and Stability of Korean Reverse Convertible Funds

  • Shin, Yang-Gyu
    • Journal of the Korean Data and Information Science Society
    • /
    • 제19권4호
    • /
    • pp.1073-1080
    • /
    • 2008
  • Reverse convertible fund is a method of investment assuring both profit and stability in an unstable stock market, and shares characteristics of a hedge fund and derivative securities. This study analyzes empirically whether reverse convertible funds can indeed serve as a new method in variable stock market environment to provide high profit with low risks especially in the Korean stock market.

  • PDF