What It Is
Floating allocation allows capital weights to evolve naturally over time without resetting them at each rebalance. It reflects the reality of portfolio drift—where allocations shift as assets grow or shrink in value—while maintaining a structured starting point.
What It Does in Fincanva
Logic: Floating starts by assigning initial weights (using either Equal Weights or Risk Scaling), but then allows them to drift based on asset or model performance.
Simulation Behavior: At each rebalance, only new positions are assigned fresh weights. Existing positions retain their weight proportions unless trimmed or replaced.
Starting Parameters: Users can choose Equal Weights or Risk Scaling as the base method for initial allocation.
Pros
Reduces transaction costs by minimizing unnecessary rebalancing
Reflects real-world investor behavior and natural portfolio drift
Preserves relative performance-driven allocations over time
Allows momentum and growth dynamics to influence the portfolio organically
Cons
Weights can become concentrated if some positions grow significantly
May deviate from your initial strategy or risk profile
Requires monitoring to prevent unintentional overexposure
Less control over asset contribution if left unmanaged for long periods
Where You Can Use It
Portfolios: Not available
Models: Yes
When to Use It
Best for long-term investors seeking to minimize trading frequency
Useful when aiming to let strong performers grow without interruption
Suitable when you want to reflect organic changes in position sizes
A great fit for tax-conscious strategies or low-turnover mandates
Example
Suppose you start a model with Equal Weights (25% each across 4 assets). Over time, one asset gains 30% while another drops 10%. Instead of resetting to 25% each at the next rebalance, Floating lets the larger position grow, adjusting only for newly added or removed assets.
Plan Access
Portfolios: Not available
Models: Available on Advanced, Ultimate, and Professional plans
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