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Weight Vector Analysis to Portfolio Performance with Diversification Constraints

비중 상한 제약조건에 따른 포트폴리오 성과에 대한 투자 비중 분석

  • 박경찬 (연세대학교 경영대학 경영학과) ;
  • 김홍선 (연세대학교 경영대학 경영학과) ;
  • 김성문 (연세대학교 경영대학 경영학과)
  • Received : 2016.11.22
  • Accepted : 2016.12.14
  • Published : 2016.12.31

Abstract

The maximum weight of single stock in mutual fund is limited by regulations to enforce diversification. Under incomplete information with added constraints on portfolio weights, enhanced performance had been reported in previous researches. We analyze a weight vector to examine the effects of additional constraints on the portfolio's performance by computing the Euclidean distance from the in-sample tangency portfolio, as opposed to previous researches which analyzed ex-post return only. Empirical experiment was performed on Mean-variance and Minimum-variance model with Fama French's 30 industry portfolio and 10 industry portfolio for the last 1,000 months from August 1932 to November 2015. We find that diversification-constrained portfolios have 7% to 26% smaller Euclidean distances with the benchmark portfolio compared to those of unconstrained portfolios and 3% to 11% greater Sharpe Ratio.

Keywords

References

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