International Large-Cap Core
Dunham International Stock Fund
Last updated: 2026-09-03
The Verdict
Dunham International Stock Fund charges an expense ratio of 1.94%. On a $100,000 portfolio, that's $1,940 per year in fees, and it scales with the amount invested. Supreme.PM's decoded model tracked it at 69% correlation over the measured period — partial, not close, tracking, for a flat monthly subscription that does not change with portfolio size.
Expense Ratio
1.94%
Star Rating
5/ 5
Market Beta
0.82
Model Correlation
69%
Sharpe Ratio
0.56
Max Drawdown
41.39%
Supreme.PM Cost
Flat monthly subscription
Not a percentage of your assets
Performance
Performance comparison — 1Y: Fund 30.3% vs Model 24.4%; 3Y: Fund 100.2% vs Model 197.0%; 5Y: Fund 88.3% vs Model 212.9%.
Alpha After Fees
Supreme.PM's model shows 69% correlation with Dunham International Stock Fund over the measured period — meaningful but partial tracking, not equivalent exposure.
Fee Analysis
Dunham International Stock Fund charges 1.94% 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.
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Frequently Asked Questions
What is the expense ratio of Dunham International Stock Fund?
Dunham International Stock Fund has an expense ratio of 1.94%, 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 Dunham International Stock 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 partially, at 69% 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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