HDV vs XLF: Complete Comparison

iShares Core High Dividend ETF vs Financial Select Sector SPDR Fund โ€” overlap, correlation, performance & risk analysis

Holdings Overlap
2.68%
Very Low Overlap
Shared Holdings
3 of 74
Complete portfolio analysis
Calculation Method
Min Weight
Weighted intersection

Visual Overlap

HDV
XLF
2.7%
HDV Only
Overlap
XLF Only

Price Performance

Historical price comparison over 3M

HDV Return
+2.06%
XLF Return
+6.68%
Winner
XLF
+4.62%
Max Drawdown
HDV: -3.7%
XLF: -5.6%
HDV Volatility (annualized)9.00%
XLF Volatility (annualized)13.17%

๐Ÿ“ˆ Comparison

Metric
HDV
XLF
1 Year Return
+15.8%
+28.5%โœ“
3 Year Return
+7.2%
+10.5%โœ“
5 Year Return
+10.5%
+14.8%โœ“
Volatility
16.50%โœ“
21.50%
Expense Ratio
0.08%โœ“
0.10%
โš ๏ธ Past performance does not guarantee future results. Data may be delayed.

โš ๏ธRisk Metrics

Metric
HDV
XLF
Volatility
16.50%โœ“
21.50%
Sharpe Ratio
0.58
0.65โœ“
Sortino Ratio
0.78
0.88โœ“
Max Drawdown
-35.50%โœ“
-55.20%
Beta
0.82
1.12

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

10 - 6

๐Ÿ† HDV wins this comparison

Key Factors

๐Ÿ’ฐ Expense Ratio
HDV:0.08%โœ“
vs
XLF:0.10%โœ“
๐ŸŽฏ Number of Holdings
HDV:75 holdingsโœ“
vs
XLF:68 holdingsโœ“
๐Ÿ“ˆ 5-Year Return
HDV:+10.5%โœ“
vs
XLF:+14.8%โœ“
โ–ถAdditional Metrics (5)
โš–๏ธ Concentration Risk
HDV: 53.2% in top 10
XLF: 55.7% in top 10
๐Ÿ“Š Assets Under Management
HDV: $10B
XLF: $40Bโœ“
โšก Sharpe Ratio
HDV: 0.58
XLF: 0.65
๐Ÿ“‰ Volatility
HDV: 16.5%โœ“
XLF: 21.5%
๐Ÿ” Uniqueness vs SPY
HDV: 89.3% uniqueโœ“
XLF: 86.3% unique

Bottom line: HDV wins with better expense ratio and number of holdings. Consider HDV for your portfolio, but XLF is still a solid choice if you prefer its specific advantages.

Detailed Overlap Analysis

3 shared holdings representing 2.7% portfolio overlap

Top Shared Holdings

#StockHDV WeightXLF WeightOverlap
1
BX
BX
1.33%1.51%1.33%
2
PNC
PNC
1.30%1.04%1.04%
3
TROW
TROW
0.54%0.30%0.30%

Overlap by Sector

Other
2 stocks ยท 1.63% overlap
Financials
1 stocks ยท 1.04% overlap

Showing top 5 sectors by overlap contribution

3
Shared Stocks
2.7%
Total Overlap
2
Sectors Represented

Top Holdings Only in HDV

Unique to HDV

โ†Scroll horizontally to see all dataโ†’
SymbolNameWeight
XOMXOM8.90%
JNJJNJ7.09%
CVXCVX6.26%
ABBVABBV6.16%
MRKMRK4.64%

Top Holdings Only in XLF

Unique to XLF

โ†Scroll horizontally to see all dataโ†’
SymbolNameWeight
BRK-BBRK-B11.80%
JPMJPM10.82%
VV7.26%
MAMA5.81%
BACBAC4.78%

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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