The Fidelity Magellan ETF (FMAG) seeks to track the performance of large-cap U.S. growth stocks, focusing on companies with strong earnings growth potential and market leadership positions. This actively managed equity ETF targets established companies with sustainable competitive advantages and above-average growth prospects.

How It Works

FMAG employs an active management approach where Fidelity's research team selects approximately 50-100 large-cap U.S. stocks based on fundamental analysis of growth potential, competitive positioning, and management quality. The portfolio managers use bottom-up stock selection rather than index tracking, concentrating holdings in their highest-conviction ideas. Rebalancing occurs continuously as managers adjust positions based on changing market conditions and company fundamentals.

Key Features

  • Actively managed by Fidelity's experienced equity research team with access to proprietary fundamental analysis and company research
  • Concentrated portfolio of 50-100 high-conviction positions allows for meaningful outperformance potential versus broad market indices
  • Zero expense ratio makes it one of the lowest-cost actively managed equity ETFs available to investors

Risks

  • This ETF can underperform passive index funds during periods when active stock selection fails to add value, potentially lagging by 2-5% annually
  • Concentrated holdings mean individual stock disappointments can significantly impact overall performance, creating higher volatility than diversified index funds
  • Large-cap growth stocks can decline 40-50% during market downturns and may underperform value stocks during economic recoveries or rising rate environments

Who Should Own This

Best suited for investors with 5+ year time horizons seeking active management exposure as a satellite holding representing 10-25% of equity allocation. Medium-to-high risk tolerance required due to concentration risk and growth stock volatility. Appeals to investors who believe skilled active management can outperform passive indexing over long periods.