Asia Pacific ex Japan Equity
LO Funds - Asia High Conviction
Last updated: 2026-09-02
The Verdict
LO Funds - Asia High Conviction charges an expense ratio of 2.06%. On a $100,000 portfolio, that's $2,055 per year in fees, and it scales with the amount invested. Supreme.PM's decoded model tracked it at 90% correlation, for a flat monthly subscription that does not change with portfolio size.
Expense Ratio
2.06%
Star Rating
3/ 5
Market Beta
1.14
Model Correlation
90%
Sharpe Ratio
0.27
Max Drawdown
45.70%
Supreme.PM Cost
Flat monthly subscription
Not a percentage of your assets
Performance
Performance comparison — 1Y: Fund 38.9% vs Model 38.6%; 3Y: Fund 85.2% vs Model 93.2%; 5Y: Fund 19.2% vs Model 33.9%.
Alpha After Fees
Supreme.PM's model achieves 90% correlation with LO Funds - Asia High Conviction, providing similar exposure at a flat subscription cost.
Fee Analysis
LO Funds - Asia High Conviction charges 2.06% 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 LO Funds - Asia High Conviction?
LO Funds - Asia High Conviction has an expense ratio of 2.06%, 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 LO Funds - Asia High Conviction?
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 90% 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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