VUG — VUG | U.S. Growth ETF | Vanguard Growth Proxy 13F holdings and portfolio analysis

جاهزVUG | U.S. Growth ETF | Vanguard Growth Proxy · Walter Nejman

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Baseline

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Baselinetested
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baseline13FChat AI
What does directly following the disclosed baseline portfolio expose an investor to?

Directly following the baseline exposes an investor to a top-heavy large-growth portfolio dominated by a few mega-cap stocks and heavy technology-related sector risk. The baseline top 5 concentration is 46.75%, top 10 is 64.26%, and Information Technology alone is 55.01% of sector weight. NVIDIA, Apple, and Microsoft are the three largest holdings at 13.5%, 12.59%, and 11.27%, so they represent 37.36% of the baseline by themselves. On the risk side, the baseline carries beta of 1.11 and maxDrawdown of -33.58%, so investors are taking above-market sensitivity without any active reweighting benefit, as the baseline notes that optimized and original metrics are identical.

What would happen to baseline concentration and sector exposure if I imposed a stricter cap on the top 3 holdings?
baseline13FChat AI
Which recent baseline periods best explain the risk-return trade-off?

The recent baseline periods show a mix of decent rebound months and repeated lagging months that explain the trade-off. In 2025-04-30, the baseline returned 8.82% versus 6.28% for SPY, outperforming by 2.53 points, which shows the upside when growth leadership works. But 2025-02-28 was -8.27% versus -6.48% for SPY, a 1.78-point lag, and 2025-10-31 was -1.94% versus 0.2%, a 2.13-point lag. Even 2025-07-31 trailed by 1.5 points despite a positive market month. Those swings line up with the baseline’s 1.11 beta and -33.58% max drawdown: the portfolio can beat in strong growth periods, but it also gives back more in weak ones.

Can you identify whether the baseline’s recent outperformance came more from specific months like April and June or from a broader trend?
baseline13FChat AI
What should a user inspect next before deciding whether the baseline is acceptable?

A user should inspect three things next: concentration, turnover burden, and period-level downside. Concentration is high, with top 5 at 46.75% and top 10 at 64.26%, driven by NVIDIA, Apple, and Microsoft. Trading is also nontrivial: the baseline used 27,108 trades with totalEstimatedCost of 1.419, and turnover hit 9.5 in 2025-12-31 after 7.33 in 2025-09-30 and 8.5 in 2025-03-31. Finally, the period data shows that recent losses can be worse than SPY, including -8.27% versus -6.48% in 2025-02-28. If those concentration and drawdown patterns are uncomfortable, the baseline may not be acceptable even though long-run annualizedReturn is 17.44%.

Can you break down which baseline periods had the highest turnover and whether those months actually added value versus SPY?
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