What It Is
Fixed Weights allocation allows you to manually assign a specific percentage of capital to each asset or model, which stays constant unless you change it. This method provides full control over how your capital is distributed.
What It Does in Fincanva
Logic: The weights are user-defined and fixed. Once set, each model or asset maintains its assigned allocation during rebalancing.
Simulation Behavior: During each rebalance, capital is reallocated according to the fixed percentages. No dynamic adjustments are made unless you change the weights.
Constraints: In portfolios, fixed weights follow a positive-weights-only rule—shorting is not allowed at the model level.
Pros
Gives full control over capital allocation
Useful when you have clear investment convictions or want to replicate a known allocation
Simple and predictable behavior across rebalancing periods
Good for building custom blends of models or assets
Cons
Does not adapt to market conditions or asset behavior
Requires manual rebalancing or updates if your preferences change
May result in suboptimal risk-return profiles if not carefully calibrated
Lacks flexibility and responsiveness to changes in asset performance
Where You Can Use It
Portfolios: Yes - Positive weights only
Models: Yes
When to Use It
Ideal when replicating known strategies or benchmarks
Useful when mixing specific themes or exposures in predefined proportions
Best when you want consistent exposure and don't need dynamic allocation
Suitable for users who prioritize strategic allocation over tactical adjustments
Example
In a model with 3 assets, you can set Asset A to receive 50%, Asset B 30%, and Asset C 20% of the total capital. These percentages will remain unchanged across rebalance cycles unless edited manually.
In a portfolio, you might allocate 60% to a long-term growth model and 40% to a defensive income model.
Plan Access
Portfolios: Available on Starter, Advanced, Ultimate, and Professional plans
Models: Available on Starter, Advanced, Ultimate, and Professional plans
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