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Dynamic Factor Allocation Leveraging Regime-Switching Signals

Yizhan Shu, John M. Mulvey·2024

Portfolio optimization in equities, studied by Shu and Mulvey in 2024 with a state-space model. The abstract mentions a Sharpe ratio, an information ratio and drawdowns but not a benchmark, an out-of-sample test, transaction costs, multiple testing or the size of the universe.

“Empirical results show that the constructed multi-factor portfolio significantly improves the information ratio (IR) relative to the market, raising it from just 0.05 for the EW benchmark to approximately 0.4.”

AssetEquities
StrategyPortfolio optimizationfactor investing
TechniqueState-space model
GeographyUS

Also stated: Sharpe ratio, Information ratio, Drawdown, Long-short, Long-only

Missing from abstract: benchmark, out-of-sample test, costs, multiple testing, universe

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The paper's neighbourhoodPortfolio optimization by year
■ equities■ multi-asset■ currencies■ volatility and options■ other assets20002005201092015202075This paper2024142026■ equities■ multi-asset■ currencies■ volatility and options■ other assets2000200520109201520205This paper2024
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