• Title/Summary/Keyword: 헤지펀드 전략

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Multi Strategy Management System Financial Investment Case Study: Focused on E Securities Company Prop Trading (Multi Strategy 운용 체계 금융 투자 사례연구: E증권사 Prop Trading을 중심으로)

  • Lee, Joo Han;Park, Tae Hyun;Oh, Kyung Joo
    • Knowledge Management Research
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    • v.22 no.1
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    • pp.21-37
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    • 2021
  • The purpose of this study is to explore financial investment knowledge related to multi-strategy, which is not generally shared. Through case studies, we will share it with the domestic hedge fund market. Since the era of full-fledged private equity hedge funds in Korea opens, many funds are created; however, reality is that there is a lack of diversity in strategies. Initially, it started with a simple stock long/short strategy, and various strategies such as mezzanine and alternative investments are in use but funds using multi-strategy are limited. This study aims to present an empirical application plan for hedge fund management strategies using a case study. It will specifically focus on process of achieving Absolute Return using the Multi Strategy technique actively used in securities firms' Prop Trading. With the results of this study, we intend to contribute to those fund managers and desired researchers who are utilizing multiple strategies in the hedge fund management to pursue Absolute Return and to help them strengthening their financial knowledge and competitiveness.

A study on asset management investment strategy model by trade probability control on futures market (선물시장에서 거래확률 조정을 통한 자산운용 투자전략 모델에 관한 연구)

  • Lee, Suk-Jun;Kim, Ji-Hyun;Jeong, Suk-Jae
    • Management & Information Systems Review
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    • v.31 no.3
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    • pp.21-46
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    • 2012
  • This paper attempts to offer an effective strategy of hedge fund based on trade probability control in the futures market. By using various technical indicators, we create an association rule and transforms it into a trading rule to be used as an investment strategy. Association rules are made by the combination of various technical indicators and the range of individual indicator value. Adjustments of trade probabilities are performed by depending on the rule combinations and it can be utilized to establish an effective investment strategy onto the risk management. In order to demonstrate the superiority of the investment strategy proposed, we analyzed a profitability using the futures index based on KOSPI200. Experiments results show that our proposed strategy could effectively manage and response the dynamics investment risks.

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Non-benchmark Approach to Measuring Fund Performance (비벤치마크 기법을 활용한 펀드 성과의 측정)

  • Min, Jae-Hyeong;Gu, Gi-Dong
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2006.11a
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    • pp.180-183
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    • 2006
  • 일반적으로 펀드는 벤치마크 대비 초과수익률 달성을 목표로 운용된다. 뮤추얼펀든, 헤지펀드, 연기금펀드, 사모투자펀드 등의 경우, 펀드의 운용 목표가 뚜렷하기 때문에 해당 펀드의 성과는 벤치마크와 목표수익률을 기준으로 측정될 수 있다. 그러나 우리나라 시장의 경우에는 펀드 내에 벤치마크운용, 사모전용, 헤지펀드기법, 절대수익 전략 등이 혼재되어 있기 때문에 이들 펀드에 대하여 전통적인 벤치마크 기법을 적용하는 것은 정확한 성과측정을 위한 방법으로는 적절하지 못하다. 본 연구에서는 펀드의 운용전략이나 목표가 혼재된 국내시장에서 비벤치마크 기법이 펀드 평가에 유용성이 있는지를 분석한다.

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Optimal Introductive Sequence of Hedge Fund Baskets in the Korean Market (한국 헤지펀드 시장의 최적의 투자전략 도입순서에 대한 연구)

  • Kwon, Do-Gyun;Park, Hee Hwan;Kang, Dong Hun;Kim, Min Jeong
    • Journal of Korean Institute of Industrial Engineers
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    • v.38 no.4
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    • pp.254-257
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    • 2012
  • Hedge funds can be established in Korea after the deregulation about setting up private equity funds on September, 2011. Although the variety of asset allocation strategies is the strength of hedge funds, most of Korean hedge funds uses only the equity long/short strategy. Therefore, it is need to introduce other strategies into Korea hedge funds, however all strategies can not be adopted at once because of the infrastructure of Korea financial market. In this paper, we find the optimal introductive order of strategies for Korea hedge fund in view of individual or institutional investors. For this analysis, HFRI data are used for the historical return of each hedge fund strategy and three methods (network visualization, principle component analysis and efficient frontier optimization) are used for finding the optimal order.