Latin America
JPM Latin America Equity
Last updated: 2026-09-09
The Verdict
JPM Latin America Equity charges an expense ratio of 1.80%. On a $100,000 portfolio, that's $1,800 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
1.80%
Star Rating
3/ 5
Market Beta
0.93
Model Correlation
69%
Sharpe Ratio
0.47
Max Drawdown
29.62%
Supreme.PM Cost
Flat monthly subscription
Not a percentage of your assets
Performance
Performance comparison — 1Y: Fund 25.8% vs Model 33.8%; 3Y: Fund 40.2% vs Model 59.1%; 5Y: Fund 42.5% vs Model 61.3%.
Alpha After Fees
Supreme.PM's model shows 69% correlation with JPM Latin America Equity over the measured period — meaningful but partial tracking, not equivalent exposure.
Fee Analysis
JPM Latin America Equity charges 1.80% 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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Our Methodology
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2-star rated
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4-star rated
CT Latin America Retail
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abrdn Latin American Equity
3-star rated
Frequently Asked Questions
What is the expense ratio of JPM Latin America Equity?
JPM Latin America Equity has an expense ratio of 1.80%, 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 JPM Latin America Equity?
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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