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

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Abstract

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.

Original languageEnglish
Article number101949
JournalJournal of International Financial Markets, Institutions and Money
Volume91
DOIs
StatePublished - Mar 2024
Externally publishedYes

Keywords

  • Asset allocation
  • Asset pricing
  • Black–Litterman portfolio model
  • Estimation error
  • Factor model
  • Fama–French three-factor model
  • Mean-variance portfolio model
  • Portfolio management

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