IVV vs XLF Overlap

Comparing iShares Core S&P 500 ETF and Financial Select Sector SPDR Fund

Holdings Overlap
12.87%
Very Low Overlap
Shared Holdings
69 of 75
Complete portfolio analysis
Calculation Method
Min Weight
Weighted intersection

Visual Overlap

IVV
XLF
12.9%
IVV Only
Overlap
XLF Only

Price Performance

Historical price comparison over 3M

IVV Return
+8.55%
XLF Return
+6.68%
Winner
IVV
+1.87%
Max Drawdown
IVV: -5.1%
XLF: -5.6%
IVV Volatility (annualized)11.41%
XLF Volatility (annualized)13.17%

๐Ÿ“ˆ Comparison

Metric
IVV
XLF
1 Year Return
+26.5%
+28.5%โœ“
3 Year Return
+10.2%
+10.5%
5 Year Return
+15.8%โœ“
+14.8%
Volatility
18.20%โœ“
21.50%
Expense Ratio
0.03%โœ“
0.10%
โš ๏ธ Past performance does not guarantee future results. Data may be delayed.

โš ๏ธRisk Metrics

Metric
IVV
XLF
Volatility
18.20%โœ“
21.50%
Sharpe Ratio
0.82โœ“
0.65
Sortino Ratio
1.15โœ“
0.88
Max Drawdown
-33.80%โœ“
-55.20%
Beta
1.00
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

14 - 3

๐Ÿ† IVV wins this comparison

Key Factors

๐Ÿ’ฐ Expense Ratio
IVV:0.03%โœ“
vs
XLF:0.10%โœ“
๐ŸŽฏ Number of Holdings
IVV:503 holdingsโœ“
vs
XLF:68 holdingsโœ“
๐Ÿ“ˆ 5-Year Return
IVV:+15.8%
vs
XLF:+14.8%
โ–ถAdditional Metrics (5)
โš–๏ธ Concentration Risk
IVV: 39.2% in top 10โœ“
XLF: 55.7% in top 10
๐Ÿ“Š Assets Under Management
IVV: $400B โœ“โœ“
XLF: $40B
โšก Sharpe Ratio
IVV: 0.82โœ“
XLF: 0.65
๐Ÿ“‰ Volatility
IVV: 18.2%โœ“
XLF: 21.5%
๐Ÿ” Uniqueness vs SPY
IVV: 18.3% unique
XLF: 86.3% uniqueโœ“

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

Detailed Overlap Analysis

69 shared holdings representing 12.9% portfolio overlap

Top Shared Holdings

#StockIVV WeightXLF WeightOverlap
1
BRK-B
BRK-B
1.55%11.80%1.55%
2
JPM
JPM
1.50%10.82%1.50%
3
V
V
1.01%7.26%1.01%
4
MA
MA
0.80%5.81%0.80%
5
SCHW
SCHW
0.29%2.10%0.29%
6
SPGI
SPGI
0.28%2.01%0.28%
7
COF
COF
0.27%1.93%0.27%
8
BLK
BLK
0.27%2.02%0.27%
9
PGR
PGR
0.23%1.74%0.23%
10
BX
BX
0.19%1.51%0.19%

Overlap by Sector

Other
59 stocks ยท 5.99% overlap
Financials
10 stocks ยท 4.67% overlap

Showing top 5 sectors by overlap contribution

69
Shared Stocks
12.9%
Total Overlap
2
Sectors Represented

Top Holdings Only in IVV

Unique to IVV

โ†Scroll horizontally to see all dataโ†’
SymbolNameWeight
NVDANVDA7.78%
AAPLAAPL6.81%
MSFTMSFT6.12%
AMZNAMZN3.82%
GOOGLGOOGL3.10%

Top Holdings Only in XLF

Unique to XLF

โ†Scroll horizontally to see all dataโ†’
SymbolNameWeight
BACBAC4.78%
WFCWFC3.73%
GSGS3.47%
MSMS2.84%
CC2.64%

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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