Global Science/Technology
Columbia Seligman Global Technology Fund
Last updated: 2026-03-23
The Verdict
Columbia Seligman Global Technology Fund charges an expense ratio of 1.25%. On a $100,000 portfolio, that's $1,250 per year in fees. Supreme.PM's decoded model provides similar exposure at a fraction of the cost, potentially saving $1,000 per year.
Expense Ratio
1.25%
Star Rating
4/ 5
Market Beta
1.10
Supreme.PM Cost
0.25%
Annual platform fee
Fee Analysis
Columbia Seligman Global Technology Fund charges 1.25% annually. Supreme.PM offers equivalent exposure for 0.25%, a savings of 1.00 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
Global Science/Technology Category
Browse all Global Science/Technology funds
Global Science/Technology Rankings
Top-rated Global Science/Technology funds
Our Methodology
How we decode fund strategies
Putnam Global Technology Fund
3-star rated
Baron Technology Fund
5-star rated
Baron Technology Fund
5-star rated
Columbia Seligman Global Technology Fund
4-star rated
Putnam Global Technology Fund
3-star rated
Frequently Asked Questions
What is the expense ratio of Columbia Seligman Global Technology Fund?
Columbia Seligman Global Technology Fund has an expense ratio of 1.25%. Supreme.PM's decoded model provides similar exposure at a significantly lower cost.
How does Supreme.PM replicate Columbia Seligman Global Technology Fund?
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.