Global Equity
Jupiter Ecology Fund
Last updated: 2026-09-03
The Verdict
Jupiter Ecology Fund charges an expense ratio of 1.68%. On a $100,000 portfolio, that's $1,680 per year in fees, and it scales with the amount invested. Supreme.PM's decoded model tracked it at only 40% correlation over the measured period, so it should not be treated as a substitute for this fund, for a flat monthly subscription that does not change with portfolio size.
Expense Ratio
1.68%
Star Rating
2/ 5
Market Beta
1.03
Model Correlation
40%
Sharpe Ratio
0.42
Max Drawdown
32.65%
Supreme.PM Cost
Flat monthly subscription
Not a percentage of your assets
Performance
Performance comparison — 1Y: Fund 6.0% vs Model 10.2%; 3Y: Fund 31.6% vs Model 40.5%; 5Y: Fund 23.6% vs Model 38.4%.
Alpha After Fees
Supreme.PM's model shows 40% correlation with Jupiter Ecology Fund over the measured period. That is weak tracking: the model does not reproduce this fund's return pattern, and a negative figure means it moved in the opposite direction.
Fee Analysis
Jupiter Ecology Fund charges 1.68% 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 Jupiter Ecology Fund?
Jupiter Ecology Fund has an expense ratio of 1.68%, 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 Jupiter Ecology 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 poorly, at 40% 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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