UK Equity
FP Russell Investments UK Growth Assets
Last updated: 2026-09-03
The Verdict
FP Russell Investments UK Growth Assets charges an expense ratio of 1.13%. On a $100,000 portfolio, that's $1,130 per year in fees, and it scales with the amount invested. Supreme.PM's decoded model tracked it at 70% correlation over the measured period — partial, not close, tracking, for a flat monthly subscription that does not change with portfolio size.
Expense Ratio
1.13%
Star Rating
4/ 5
Market Beta
0.98
Model Correlation
70%
Sharpe Ratio
0.61
Max Drawdown
36.98%
Supreme.PM Cost
Flat monthly subscription
Not a percentage of your assets
Performance
Performance comparison — 1Y: Fund 16.8% vs Model 18.8%; 3Y: Fund 72.9% vs Model 77.5%; 5Y: Fund 61.1% vs Model 64.7%.
Alpha After Fees
Supreme.PM's model shows 70% correlation with FP Russell Investments UK Growth Assets over the measured period — meaningful but partial tracking, not equivalent exposure.
Fee Analysis
FP Russell Investments UK Growth Assets charges 1.13% 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 FP Russell Investments UK Growth Assets?
FP Russell Investments UK Growth Assets has an expense ratio of 1.13%, 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 FP Russell Investments UK Growth Assets?
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 70% 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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