US Equity
MFS Meridian Funds-US Value
Last updated: 2026-09-02
The Verdict
MFS Meridian Funds-US Value charges an expense ratio of 1.92%. On a $100,000 portfolio, that's $1,920 per year in fees, and it scales with the amount invested. Supreme.PM's decoded model tracked it at 98% correlation, for a flat monthly subscription that does not change with portfolio size.
Expense Ratio
1.92%
Star Rating
2/ 5
Market Beta
0.72
Model Correlation
98%
Sharpe Ratio
0.73
Max Drawdown
17.58%
Supreme.PM Cost
Flat monthly subscription
Not a percentage of your assets
Performance
Performance comparison — 1Y: Fund 11.4% vs Model 14.5%; 3Y: Fund 39.7% vs Model 53.1%; 5Y: Fund 40.9% vs Model 63.1%.
Alpha After Fees
Supreme.PM's model achieves 98% correlation with MFS Meridian Funds-US Value, providing similar exposure at a flat subscription cost.
Fee Analysis
MFS Meridian Funds-US Value charges 1.92% 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
Frequently Asked Questions
What is the expense ratio of MFS Meridian Funds-US Value?
MFS Meridian Funds-US Value has an expense ratio of 1.92%, 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 MFS Meridian Funds-US Value?
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 98% 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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