SPHD vs SPY: Complete Comparison

Invesco S&P 500 High Dividend Low Volatility ETF vs SPDR S&P 500 ETF Trust โ€” overlap, correlation, performance & risk analysis

Holdings Overlap
6.91%
Very Low Overlap
Shared Holdings
45 of 49
Complete portfolio analysis
Calculation Method
Min Weight
Weighted intersection

Visual Overlap

SPHD
SPY
6.9%
SPHD Only
Overlap
SPY Only

Price Performance

Historical price comparison over 3M

SPHD Return
+5.08%
SPY Return
+8.71%
Winner
SPY
+3.63%
Max Drawdown
SPHD: -7.3%
SPY: -8.9%
SPHD Volatility (annualized)11.00%
SPY Volatility (annualized)13.82%

๐Ÿ“ˆ Comparison

Metric
SPHD
SPY
1 Year Return
+16.5%
+26.5%โœ“
3 Year Return
+6.8%
+10.2%โœ“
5 Year Return
+10.2%
+15.8%โœ“
Volatility
16.20%โœ“
18.20%
Expense Ratio
0.30%
0.09%โœ“
โš ๏ธ Past performance does not guarantee future results. Data may be delayed.

โš ๏ธRisk Metrics

Metric
SPHD
SPY
Volatility
16.20%โœ“
18.20%
Sharpe Ratio
0.58
0.82โœ“
Sortino Ratio
0.78
1.15โœ“
Max Drawdown
-32.50%โœ“
-33.90%
Beta
0.75
1.00

Interpretation:

  • ๐Ÿ“Š Lower volatility = smoother ride
  • โšก Higher Sharpe/Sortino = better risk-adjusted returns
  • โš ๏ธ Smaller max drawdown = less worst-case pain
  • ๐Ÿ“ˆ Beta > 1 = more volatile than S&P 500

โš”๏ธ Comparison

4 - 14

๐Ÿ† SPY wins this comparison

Key Factors

๐Ÿ’ฐ Expense Ratio
SPHD:0.30%โœ“
vs
SPY:0.09%โœ“
๐ŸŽฏ Number of Holdings
SPHD:51 holdingsโœ“
vs
SPY:503 holdingsโœ“
๐Ÿ“ˆ 5-Year Return
SPHD:+10.2%โœ“
vs
SPY:+15.8%โœ“
โ–ถAdditional Metrics (5)
โš–๏ธ Concentration Risk
SPHD: 26.8% in top 10โœ“
SPY: 39.1% in top 10
๐Ÿ“Š Assets Under Management
SPHD: $4B
SPY: $450B โœ“โœ“
โšก Sharpe Ratio
SPHD: 0.58
SPY: 0.82โœ“
๐Ÿ“‰ Volatility
SPHD: 16.2%
SPY: 18.2%
๐Ÿ” Uniqueness vs SPY
SPHD: 93.1% uniqueโœ“
SPY: -0.0% unique

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

Detailed Overlap Analysis

45 shared holdings representing 6.9% portfolio overlap

Top Shared Holdings

#StockSPHD WeightSPY WeightOverlap
1
XOM
XOM
1.70%0.85%0.85%
2
JNJ
JNJ
1.76%0.84%0.84%
3
ABBV
ABBV
1.81%0.68%0.68%
4
CVX
CVX
2.05%0.48%0.48%
5
MRK
MRK
2.20%0.45%0.45%
6
PEP
PEP
1.86%0.33%0.33%
7
AMGN
AMGN
1.61%0.30%0.30%
8
T
T
1.57%0.29%0.29%
9
PFE
PFE
3.08%0.24%0.24%
10
AEP
AEP
1.68%0.20%0.20%

Overlap by Sector

Healthcare
6 stocks ยท 2.70% overlap
Energy
2 stocks ยท 1.33% overlap
Other
24 stocks ยท 0.85% overlap
Utilities
4 stocks ยท 0.51% overlap
Consumer Staples
2 stocks ยท 0.50% overlap

Showing top 5 sectors by overlap contribution

45
Shared Stocks
6.9%
Total Overlap
5
Sectors Represented

Top Holdings Only in SPHD

Unique to SPHD

โ†Scroll horizontally to see all dataโ†’
SymbolNameWeight
VZVZ2.58%
VICIVICI1.98%
KIMKIM1.90%
CTRACTRA1.66%

Top Holdings Only in SPY

Unique to SPY

โ†Scroll horizontally to see all dataโ†’
SymbolNameWeight
NVDANVDA7.73%
AAPLAAPL6.82%
MSFTMSFT6.11%
AMZNAMZN3.81%
GOOGLGOOGL3.08%

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 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.

๐Ÿ“Š 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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