SPHD vs XLK: Complete Comparison

Invesco S&P 500 High Dividend Low Volatility ETF vs Technology Select Sector SPDR Fund — overlap, correlation, performance & risk analysis

Holdings Overlap
0.00%
Very Low Overlap
Shared Holdings
0 of 49
Complete portfolio analysis
Calculation Method
Min Weight
Weighted intersection

Visual Overlap

SPHD
XLK
0.0%
SPHD Only
Overlap
XLK Only

Price Performance

Historical price comparison over 3M

SPHD Return
+5.08%
XLK Return
+23.71%
Winner
XLK
+18.62%
Max Drawdown
SPHD: -7.3%
XLK: -14.5%
SPHD Volatility (annualized)11.00%
XLK Volatility (annualized)24.66%

📈 Comparison

Metric
SPHD
XLK
1 Year Return
+16.5%
+35.2%
3 Year Return
+6.8%
+15.8%
5 Year Return
+10.2%
+25.5%
Volatility
16.20%
24.20%
Expense Ratio
0.30%
0.10%
⚠️ Past performance does not guarantee future results. Data may be delayed.

⚠️Risk Metrics

Metric
SPHD
XLK
Volatility
16.20%
24.20%
Sharpe Ratio
0.58
1.05
Sortino Ratio
0.78
1.42
Max Drawdown
-32.50%
-38.50%
Beta
0.75
1.22

Interpretation:

  • 📊 Lower volatility = smoother ride
  • ⚡ Higher Sharpe/Sortino = better risk-adjusted returns
  • ⚠️ Smaller max drawdown = less worst-case pain
  • 📈 Beta > 1 = more volatile than S&P 500

⚔️ Comparison

6 - 14

🏆 XLK wins this comparison

Key Factors

💰 Expense Ratio
SPHD:0.30%
vs
XLK:0.10%
🎯 Number of Holdings
SPHD:51 holdings
vs
XLK:65 holdings
📈 5-Year Return
SPHD:+10.2%
vs
XLK:+25.5%
Additional Metrics (5)
⚖️ Concentration Risk
SPHD: 26.8% in top 10
XLK: 62.3% in top 10
📊 Assets Under Management
SPHD: $4B
XLK: $55B ✓
Sharpe Ratio
SPHD: 0.58
XLK: 1.05
📉 Volatility
SPHD: 16.2%
XLK: 24.2%
🔍 Uniqueness vs SPY
SPHD: 93.1% unique
XLK: 65.5% unique

Bottom line: XLK wins with better expense ratio and number of holdings and 5-year return. Consider XLK for your portfolio, but SPHD is still a solid choice if you prefer its specific advantages.

Detailed Overlap Analysis

0 shared holdings representing 0.0% portfolio overlap

Top Shared Holdings

#StockSPHD WeightXLK WeightOverlap
0
Shared Stocks
0.0%
Total Overlap
0
Sectors Represented

Top Holdings Only in SPHD

Unique to SPHD

Scroll horizontally to see all data
SymbolNameWeight
PFEPFE3.08%
MOMO3.02%
DOCDOC2.88%
UPSUPS2.69%
CAGCAG2.66%

Top Holdings Only in XLK

Unique to XLK

Scroll horizontally to see all data
SymbolNameWeight
NVDANVDA14.84%
AAPLAAPL13.10%
MSFTMSFT11.75%
AVGOAVGO5.36%
PLTRPLTR3.75%

Price Correlation

How We Calculate Overlap

We use the minimum weight method with normalization to calculate portfolio overlap:

Overlap = Σ min(weightA, weightB) for each shared holding

Normalization: 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.

📊 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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