Infrastructure Equity
WS Macquarie Global Infrastructure Secs
Last updated: 2026-03-11
The Verdict
WS Macquarie Global Infrastructure Secs charges an expense ratio of 0.94%. On a $100,000 portfolio, that's $940 per year in fees. Supreme.PM's decoded model provides similar exposure at a fraction of the cost, potentially saving $690 per year.
Expense Ratio
0.94%
Star Rating
4/ 5
Market Beta
0.87
Supreme.PM Cost
0.25%
Annual platform fee
Fee Analysis
WS Macquarie Global Infrastructure Secs charges 0.94% annually. Supreme.PM offers equivalent exposure for 0.25%, a savings of 0.69 percentage points.
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
Infrastructure Equity Category
Browse all Infrastructure Equity funds
Infrastructure Equity Rankings
Top-rated Infrastructure Equity funds
Our Methodology
How we decode fund strategies
WS Macquarie Global Infrastructure Secs
4-star rated
abrdn Global Infrastructure Equity Retail Fdr
5-star rated
First Sentier Glbl Listed Infrastr
4-star rated
Macquarie Sus Gl Listed Infrastr
1-star rated
Wellington Enduring Assets
4-star rated
Frequently Asked Questions
What is the expense ratio of WS Macquarie Global Infrastructure Secs?
WS Macquarie Global Infrastructure Secs has an expense ratio of 0.94%. Supreme.PM's decoded model provides similar exposure at a significantly lower cost.
How does Supreme.PM replicate WS Macquarie Global Infrastructure Secs?
Supreme.PM uses AI to analyze the fund's holdings and trading patterns, creating a decoded model that tracks the fund's performance.
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.
Get This Strategy
Start investing with Supreme.PM's decoded model and save on fees while capturing similar returns.