상세검색
최근 검색어 전체 삭제
다국어입력
즐겨찾기0
학술저널

생성형 인공지능을 활용한 투자 포트폴리오 형성에 관한 실증 분석 연구

An Empirical Study on Investment Portfolio Formation Using Generative Artificial Intelligence

  • 24
아태비즈니스연구 제15권 제4호.jpg

Purpose - The purpose of this study is to empirically verify whether generative artificial intelligence (AI) can be used as a tool to positively influence investors’ investment strategies. Design/methodology/approach - For this purpose, we received recommendations from GPT-4o for stocks of different sizes and weights among the large and liquid securities that make up the CSI 300 Index, formed five portfolios through mean-variance optimization, and compared and analyzed the changes in cumulative returns. Findings - The empirical results showed that the cumulative returns of portfolios based on stocks rated as excellent by GPT-4o were better than those of the market index, CSI300, regardless of the portfolio composition. In addition, the cumulative return performance estimated by the portfolios weighted by GPT-4o did not differ from the cumulative returns of the portfolios formed by applying the financial mean-variance optimization theory. Research implications or originality - The results of this empirical analysis show that generative AI models have ample potential to be used as a tool to have a positive effect on investment strategies, such as portfolio construction, beyond simple stock selection.

Ⅰ. 서론

Ⅱ. 분석자료 형성 및 연구모형

Ⅲ. 실증 분석

Ⅳ. 결론

References

(0)

(0)

로딩중