A novel integration of the Fama–French and Black–Litterman models to enhance portfolio management
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초록

We propose a novel portfolio model integrating the Fama–French three-factor model into the Black–Litterman framework, enabling efficient investment strategies. The model surpasses traditional benchmarks, significantly increasing alpha, minimizing estimation error, and improving diversification. Performance improvements are shown by a tripled Sharpe ratio and doubled Certainty Equivalent Return compared to standard models. It maintains stability across different parameters and economic climates, leveraging improved weight adjustment to reduce estimation errors and withstand market volatility. It provides a new perspective for portfolio construction, leveraging long-term insights from asset pricing theory with significant implications. © 2024 Elsevier B.V.

키워드

Asset allocationAsset pricingBlack–Litterman portfolio modelEstimation errorFactor modelFama–French three-factor modelMean-variance portfolio modelPortfolio managementALTERNATIVE 3-FACTOR MODELMEAN-VARIANCECROSS-SECTIONRISK-FACTORSRETURNSVIEWSSELECTION1/N
제목
A novel integration of the Fama–French and Black–Litterman models to enhance portfolio management
저자
Ko, HyungjinSon, BumhoLee, Jaewook
DOI
10.1016/j.intfin.2024.101949
발행일
2024-03
유형
Article
저널명
Journal of International Financial Markets, Institutions and Money
91