SCHV vs XLK: Complete Comparison
Schwab U.S. Large-Cap Value ETF vs Technology Select Sector SPDR Fund โ overlap, correlation, performance & risk analysis
Visual Overlap
Price Performance
Historical price comparison over 3M
๐Performance Comparison
โ ๏ธRisk Metrics
Interpretation:
- ๐ Lower volatility = smoother ride
- โก Higher Sharpe/Sortino = better risk-adjusted returns
- โ ๏ธ Smaller max drawdown = less worst-case pain
- ๐ Beta > 1 = more volatile than S&P 500
โ๏ธHead-to-Head Comparison
๐ SCHV wins this comparison
Key Factors
โถAdditional Metrics (5)
Bottom line: SCHV wins with better expense ratio and number of holdings. Consider SCHV for your portfolio, but XLK is still a solid choice if you prefer its specific advantages.
Detailed Overlap Analysis
31 shared holdings representing 10.0% portfolio overlap
Top Shared Holdings
| # | Stock | SCHV Weight | XLK Weight | Overlap |
|---|---|---|---|---|
| 1 | ORCL ORCL | 1.35% | 2.81% | 1.35% |
| 2 | CSCO CSCO | 1.16% | 2.60% | 1.16% |
| 3 | IBM IBM | 1.06% | 2.41% | 1.06% |
| 4 | MU MU | 1.04% | 2.72% | 1.04% |
| 5 | GLW GLW | 0.26% | 0.59% | 0.26% |
| 6 | MSI MSI | 0.23% | 0.53% | 0.23% |
| 7 | STX STX | 0.22% | 0.53% | 0.22% |
| 8 | WDC WDC | 0.22% | 0.52% | 0.22% |
| 9 | NXPI NXPI | 0.21% | 0.48% | 0.21% |
| 10 | CTSH CTSH | 0.15% | 0.35% | 0.15% |
Overlap by Sector
Showing top 5 sectors by overlap contribution
Top Holdings Only in SCHV
Unique to SCHV
| Symbol | Name | Weight |
|---|---|---|
| BRK-B | BRK-B | 3.31% |
| JPM | JPM | 3.04% |
| WMT | WMT | 1.86% |
| XOM | XOM | 1.85% |
| JNJ | JNJ | 1.77% |
Top Holdings Only in XLK
Unique to XLK
| Symbol | Name | Weight |
|---|---|---|
| NVDA | NVDA | 14.84% |
| AAPL | AAPL | 13.10% |
| MSFT | MSFT | 11.75% |
| AVGO | AVGO | 5.36% |
| PLTR | PLTR | 3.75% |
Price Correlation
How We Calculate Overlap
We use the minimum weight method with normalization to calculate portfolio overlap:
Overlap = ฮฃ min(weightA, weightB) for each shared holdingNormalization: Holdings weights are normalized to sum to 100% before comparison. This ensures accurate overlap calculations even when analyzing partial holdings data (e.g., top 50 positions).
Conservative approach: We consider only the smaller allocation for each shared position, giving you a realistic view of true portfolio overlap.
๐ This analysis is based on publicly available holdings data. For the most current and complete holdings information, please visit the official ETF provider websites.
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