Dynamic Rebalancing & The Black-Litterman Model
- Andrew Thompson
- 2 days ago
- 1 min read
Dynamic rebalancing versus fixed point rebalancing.
Dynamic portfolio rebalancing offers a more responsive and risk‑aware approach than fixed‑date rebalancing. Instead of waiting for a scheduled point in time, dynamic rebalancing adjusts the portfolio whenever / only when asset weights and or portfolio risk drift beyond predefined thresholds.
This dynamic approach helps investors maximise gains, limit losses, and maintain their intended risk profile more consistently. It can also reduce the chance of large, unintended exposures that build up between fixed dates, making the strategy more adaptive to market volatility and better aligned with real‑time conditions.
Unnecessary dealing adds costs and can hinder portfolio returns. Every trade also creates time out of the market, which may further damage performance. By definition, fixed point rebalancing churns the entire portfolio, with incumbent costs and timing drawback whereas dynamic rebalancing allows for selective repositioning or editing and is correspondingly less disruptive and more efficient.
Forward-looking asset allocation using Black-Litterman versus backward looking MVO approach.
Forward‑looking asset allocation using a Black-Litterman model offers a more robust and intuitive framework than a static, backward‑looking Mean–Variance Optimisation (MVO) approach.
While traditional MVO relies solely on historical data—often producing unstable weights and extreme allocations, the Black-Litterman model blends market‑implied returns with the Investment Committee’s forward‑looking views. This results in more stable, diversified portfolios that better reflect current market conditions and expectations.
By incorporating forward‑looking insights through a Black-Litterman model, this approach avoids the sensitivity to outdated historical data that affects static MVO, resulting in more stable and realistic allocations.
