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고빈도 알고리즘을 이용한 개인투자자의 투자성과

The Investment Performance of High Frequency Individual Investors

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참고문헌

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주제분류경영학

초록

개인투자자는 기관이나 외국인 투자자에 비해 비이성적이고 낮은 투자성과를 보이는 것으로 알려져 있다. 그러나 최근 개인투자자들만을 대상으로 차별화된 특성을 가진 개인투자자는 그렇지 않은 개인보다 상대적으로 우월한 투자성과를 보인다는 연구 결과들이 발표되고 있다. 본 연구는 2018년부터 2022년까지 한국거래소에 상장된 모든 종목을 분석하여 알고리즘을 이용하여 종목 선정과 매매 시점을 결정하고, 고성능 컴퓨터를 활용하여, 보다 빠르게 주문을 제출할 수 있는 개인투자자가 그렇지 않은 개인투자자보다 우월한 투자성과를 보인다는 것을 발견하였다. 이들은 일반 개인투자자처럼 역추세 추종전략을 사용하지만, 듀레이션이 짧은 데이트레이딩을 주로 활용하며, 단기 추세의 역전을 예상하는 매매전략으로 일반 개인투자자보다 우월한 투자성과를 얻는 것으로 추정된다. 일반 개인투자자에 비해 우월한 성과를 얻을 수 있는 개인투자자의 특성에 본 연구에서 분석한 High Frequency Trading 활용도 포함될 수 있다는 것을 보여준 점은 중요한 의의라고 판단된다.

Abstract

Individual investors are known as investors who are irrational and have lower investment performance than other investors. However, recent studies have shown that individual investors with differentiated characteristics are relatively superior to those who do not. In this study, we analyzed all the stocks listed on the Korea Exchange from 2018 to 2022 and showed that HFT investors who determined the selection and timing of the stocks using algorithms, used high-performance computers and can submit orders faster than non-individual investors would have superior investment performance. They use a reverse follow-up strategy like ordinary individual investors, but it is estimated that they use day tradings with short duration and obtain superior investment performance than ordinary individual investors as a trading strategy that anticipates reversal of short-term trend. The characteristics of individual investors who show superior performance compared to general individual investors can also include the use of high frequency trading analyzed in this study, which is considered to be an important significance of this study.

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