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The Models Analytics tab in Fincanva gives you a deeper understanding of how each model in your portfolio performs—and how they interact with one another. It enables detailed, model-level analysis to help you optimize your portfolio composition and improve strategic outcomes.
Year-by-Year Performance
View the annual returns of each model to:
Identify consistent top performers
Spot models that lag in specific market conditions
Track how individual strategies react over time
This helps you assess the reliability and market sensitivity of each model.
Correlation Matrix
Explore how your models relate to each other:
High correlation may signal redundancy or similar behavior
Low or negative correlation suggests potential diversification benefits
Use this tool to detect overlap and evaluate whether your models truly add variety to your strategy.
Sharpe Ratio Space Visualization
This scatter plot shows each model’s:
Risk (Standard Deviation)
Return
Sharpe Ratio
It helps you easily identify which models offer the best return per unit of risk and which may not be worth the capital they consume.
Use the Models Analytics tab to:
Fine-tune your model mix using real performance data
Detect and eliminate redundancy between models
Adjust allocations to improve diversification and risk-adjusted returns
This tab is a critical tool for making informed, data-driven decisions about which models to keep, adjust, or drop from your portfolio strategy.
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