US Mid-Cap Core
Madison Mid Cap Fund
Last updated: 2026-09-03
The Verdict
Madison Mid Cap Fund charges an expense ratio of 0.90%. On a $100,000 portfolio, that's $900 per year in fees, and it scales with the amount invested. Supreme.PM's decoded model tracked it at 99% correlation, for a flat monthly subscription that does not change with portfolio size.
Expense Ratio
0.90%
Star Rating
4/ 5
Market Beta
0.87
Model Correlation
99%
Sharpe Ratio
0.57
Max Drawdown
21.73%
Supreme.PM Cost
Flat monthly subscription
Not a percentage of your assets
Performance
Performance comparison — 1Y: Fund 7.4% vs Model 11.1%; 3Y: Fund 35.3% vs Model 50.0%; 5Y: Fund 48.1% vs Model 67.0%.
Alpha After Fees
Supreme.PM's model achieves 99% correlation with Madison Mid Cap Fund, providing similar exposure at a flat subscription cost.
Fee Analysis
Madison Mid Cap Fund charges 0.90% of assets annually. Supreme.PM charges a flat monthly subscription instead, so its cost does not rise as a portfolio grows.
Data sources: Refinitiv Lipper, SEC EDGAR Filings, Supreme.PM Analytics
Past performance does not guarantee future results. Model returns are backtested and may not reflect actual trading conditions.
Related
US Mid-Cap Core Category
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Our Methodology
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Frequently Asked Questions
What is the expense ratio of Madison Mid Cap Fund?
Madison Mid Cap Fund has an expense ratio of 0.90%, charged as a percentage of the amount invested. Supreme.PM's decoded model is offered for a flat monthly subscription instead.
How does Supreme.PM replicate Madison Mid Cap Fund?
Supreme.PM builds a transparent, rules-based model of listed securities designed to track this fund's return profile. Over the measured period it tracked the fund closely, at 99% correlation. The model is published in full, so its positions are visible rather than disclosed with a delay.
What are the risks of fund replication?
While our models aim for high correlation, they may not perfectly match the fund's returns due to timing differences in rebalancing, transaction costs, and disclosure delays. Backtested results may not reflect future performance.
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