ITOT vs XLF Overlap

Comparing iShares Core S&P Total U.S. Stock Market ETF and Financial Select Sector SPDR Fund

Holdings Overlap
11.61%
Very Low Overlap
Shared Holdings
71 of 75
Complete portfolio analysis
Calculation Method
Min Weight
Weighted intersection

Visual Overlap

ITOT
XLF
11.6%
ITOT Only
Overlap
XLF Only

Price Performance

Historical price comparison over 3M

ITOT Return
+8.50%
XLF Return
+6.68%
Winner
ITOT
+1.82%
Max Drawdown
ITOT: -5.4%
XLF: -5.6%
ITOT Volatility (annualized)11.87%
XLF Volatility (annualized)13.17%

๐Ÿ“ˆ Comparison

Metric
ITOT
XLF
1 Year Return
+25.8%
+28.5%โœ“
3 Year Return
+9.8%
+10.5%โœ“
5 Year Return
+15.2%
+14.8%
Volatility
18.80%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
ITOT
XLF
Volatility
18.80%โœ“
21.50%
Sharpe Ratio
0.78โœ“
0.65
Sortino Ratio
1.05โœ“
0.88
Max Drawdown
-34.20%โœ“
-55.20%
Beta
1.01
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 - 3

๐Ÿ† ITOT wins this comparison

Key Factors

๐Ÿ’ฐ Expense Ratio
ITOT:0.03%โœ“
vs
XLF:0.10%โœ“
๐ŸŽฏ Number of Holdings
ITOT:3,500 holdingsโœ“
vs
XLF:68 holdingsโœ“
๐Ÿ“ˆ 5-Year Return
ITOT:+15.2%
vs
XLF:+14.8%
โ–ถAdditional Metrics (5)
โš–๏ธ Concentration Risk
ITOT: 35.2% in top 10โœ“
XLF: 55.7% in top 10
๐Ÿ“Š Assets Under Management
ITOT: $55B โœ“โœ“
XLF: $40B
โšก Sharpe Ratio
ITOT: 0.78
XLF: 0.65
๐Ÿ“‰ Volatility
ITOT: 18.8%
XLF: 21.5%
๐Ÿ” Uniqueness vs SPY
ITOT: 12.8% unique
XLF: 86.3% uniqueโœ“

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

Detailed Overlap Analysis

71 shared holdings representing 11.6% portfolio overlap

Top Shared Holdings

#StockITOT WeightXLF WeightOverlap
1
BRK-B
BRK-B
1.38%11.80%1.38%
2
JPM
JPM
1.31%10.82%1.31%
3
V
V
0.86%7.26%0.86%
4
MA
MA
0.69%5.81%0.69%
5
BAC
BAC
0.55%4.78%0.55%
6
WFC
WFC
0.42%3.73%0.42%
7
GS
GS
0.36%3.47%0.36%
8
AXP
AXP
0.30%2.59%0.30%
9
MS
MS
0.30%2.84%0.30%
10
C
C
0.28%2.64%0.28%

Overlap by Sector

Financials
16 stocks ยท 6.21% overlap
Other
55 stocks ยท 5.18% overlap

Showing top 5 sectors by overlap contribution

71
Shared Stocks
11.6%
Total Overlap
2
Sectors Represented

Top Holdings Only in ITOT

Unique to ITOT

โ†Scroll horizontally to see all dataโ†’
SymbolNameWeight
NVDANVDA7.33%
AAPLAAPL6.04%
MSFTMSFT5.68%
AMZNAMZN3.64%
GOOGLGOOGL2.55%

Top Holdings Only in XLF

Unique to XLF

โ†Scroll horizontally to see all dataโ†’
SymbolNameWeight
ICEICE1.18%
NDAQNDAQ0.54%
SYFSYF0.39%
FDSFDS0.14%

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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