US Small-Cap Value
SEI Institutional Managed Small Cap Value Fund
Last updated: 2026-09-03
The Verdict
SEI Institutional Managed Small Cap Value Fund charges an expense ratio of 1.10%. On a $100,000 portfolio, that's $1,100 per year in fees, and it scales with the amount invested. Supreme.PM's decoded model tracked it at 97% correlation, for a flat monthly subscription that does not change with portfolio size.
Expense Ratio
1.10%
Star Rating
3/ 5
Market Beta
0.96
Model Correlation
97%
Sharpe Ratio
0.47
Max Drawdown
25.58%
Supreme.PM Cost
Flat monthly subscription
Not a percentage of your assets
Performance
Performance comparison — 1Y: Fund 26.6% vs Model 23.9%; 3Y: Fund 65.4% vs Model 67.1%; 5Y: Fund 57.9% vs Model 62.8%.
Alpha After Fees
Supreme.PM's model achieves 97% correlation with SEI Institutional Managed Small Cap Value Fund, providing similar exposure at a flat subscription cost.
Fee Analysis
SEI Institutional Managed Small Cap Value Fund charges 1.10% 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 Small-Cap Value Category
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Our Methodology
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Frequently Asked Questions
What is the expense ratio of SEI Institutional Managed Small Cap Value Fund?
SEI Institutional Managed Small Cap Value Fund has an expense ratio of 1.10%, 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 SEI Institutional Managed Small Cap Value 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 97% 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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