Model-Free Approaches to Dynamic Portfolio Rebalancing
Summary
The document asks whether dynamic portfolio rebalancing can be optimized without specifying a model for how asset prices evolve. It contrasts this goal with the static Markowitz approach, which estimates asset means and covariances to calculate portfolio weights, and with model-based dynamic methods such as stochastic optimal control using dynamic programming.
The text does not propose or evaluate a rebalancing method, present empirical evidence, or resolve the question. Its contribution is to frame a research problem: whether methods that avoid a full asset-evolution model can guide repeated portfolio decisions. Any practical application would still need to define the available data, objective, constraints, transaction costs, and how uncertainty is handled; these issues are not discussed.
Key ideas
- Static Markowitz optimization can determine weights from estimated means and covariances.
- Dynamic portfolio optimization often uses a model of asset evolution.
- The document asks whether model-independent methods can optimize repeated rebalancing decisions.
- No candidate method, empirical evidence, or solution is supplied.
Tags
Full text
# Model-independent dynamic portfolio optimization techniques # Model-independent dynamic portfolio optimization techniques For a problem where we need to optimize the portfolio based on the data, going for Markowitz MPT has the following advantage: we only have to estimate mean and covariance to find optimal weights. I'd call this approach model-free as it does not require constructing a model for the evolution of the constituents of the portfolio. I wonder if comparable techniques are available for dynamic portofilo rebalancing. There is a multitude of methods in case you've got a model: for example, you can apply stochastic optimal control via dynamic programming, however I am interested in model-free methods.
Shown in full with attribution under the source's licence. Licence: CC BY-SA 4.0 (Stack Exchange)
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.