HDV vs SPY: Complete Comparison

iShares Core High Dividend ETF vs SPDR S&P 500 ETF Trust โ€” overlap, correlation, performance & risk analysis

Holdings Overlap
10.66%
Very Low Overlap
Shared Holdings
53 of 74
Complete portfolio analysis
Calculation Method
Min Weight
Weighted intersection

Visual Overlap

HDV
SPY
10.7%
HDV Only
Overlap
SPY Only

Price Performance

Historical price comparison over 3M

HDV Return
+2.06%
SPY Return
+8.52%
Winner
SPY
+6.47%
Max Drawdown
HDV: -3.7%
SPY: -5.1%
HDV Volatility (annualized)9.00%
SPY Volatility (annualized)11.46%

๐Ÿ“ˆ Comparison

Metric
HDV
SPY
1 Year Return
+15.8%
+26.5%โœ“
3 Year Return
+7.2%
+10.2%โœ“
5 Year Return
+10.5%
+15.8%โœ“
Volatility
16.50%โœ“
18.20%
Expense Ratio
0.08%โœ“
0.09%
โš ๏ธ Past performance does not guarantee future results. Data may be delayed.

โš ๏ธRisk Metrics

Metric
HDV
SPY
Volatility
16.50%โœ“
18.20%
Sharpe Ratio
0.58
0.82โœ“
Sortino Ratio
0.78
1.15โœ“
Max Drawdown
-35.50%
-33.90%โœ“
Beta
0.82
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

5 - 13

๐Ÿ† SPY wins this comparison

Key Factors

๐Ÿ’ฐ Expense Ratio
HDV:0.08%โœ“
vs
SPY:0.09%โœ“
๐ŸŽฏ Number of Holdings
HDV:75 holdingsโœ“
vs
SPY:503 holdingsโœ“
๐Ÿ“ˆ 5-Year Return
HDV:+10.5%โœ“
vs
SPY:+15.8%โœ“
โ–ถAdditional Metrics (5)
โš–๏ธ Concentration Risk
HDV: 53.2% in top 10
SPY: 39.1% in top 10โœ“
๐Ÿ“Š Assets Under Management
HDV: $10B
SPY: $450B โœ“โœ“
โšก Sharpe Ratio
HDV: 0.58
SPY: 0.82โœ“
๐Ÿ“‰ Volatility
HDV: 16.5%
SPY: 18.2%
๐Ÿ” Uniqueness vs SPY
HDV: 89.3% uniqueโœ“
SPY: -0.0% unique

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

Detailed Overlap Analysis

53 shared holdings representing 10.7% portfolio overlap

Top Shared Holdings

#StockHDV WeightSPY WeightOverlap
1
XOM
XOM
8.90%0.85%0.85%
2
JNJ
JNJ
7.09%0.84%0.84%
3
ABBV
ABBV
6.16%0.68%0.68%
4
HD
HD
3.81%0.58%0.58%
5
PG
PG
4.31%0.57%0.57%
6
CSCO
CSCO
3.83%0.52%0.52%
7
CVX
CVX
6.26%0.48%0.48%
8
KO
KO
4.15%0.46%0.46%
9
MRK
MRK
4.64%0.45%0.45%
10
PM
PM
3.83%0.43%0.43%

Overlap by Sector

Healthcare
4 stocks ยท 2.23% overlap
Consumer Staples
6 stocks ยท 2.07% overlap
Energy
5 stocks ยท 1.82% overlap
Other
27 stocks ยท 1.72% overlap
Technology
2 stocks ยท 0.79% overlap

Showing top 5 sectors by overlap contribution

53
Shared Stocks
10.7%
Total Overlap
5
Sectors Represented

Top Holdings Only in HDV

Unique to HDV

โ†Scroll horizontally to see all dataโ†’
SymbolNameWeight
DTMDTM0.19%
CHRWCHRW0.18%
WSOWSO0.17%
WTRGWTRG0.17%
OGEOGE0.17%

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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