SCHB vs XLF Overlap

Comparing Schwab U.S. Broad Market ETF and Financial Select Sector SPDR Fund

Holdings Overlap
12.09%
Very Low Overlap
Shared Holdings
65 of 75
Complete portfolio analysis
Calculation Method
Min Weight
Weighted intersection

Visual Overlap

SCHB
XLF
12.1%
SCHB Only
Overlap
XLF Only

Price Performance

Historical price comparison over 3M

SCHB Return
+8.40%
XLF Return
+6.68%
Winner
SCHB
+1.72%
Max Drawdown
SCHB: -5.3%
XLF: -5.6%
SCHB Volatility (annualized)11.83%
XLF Volatility (annualized)13.17%

๐Ÿ“ˆ Comparison

Metric
SCHB
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
SCHB
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

8 - 5

๐Ÿ† SCHB wins this comparison

Key Factors

๐Ÿ’ฐ Expense Ratio
SCHB:0.03%โœ“
vs
XLF:0.10%โœ“
๐ŸŽฏ Number of Holdings
SCHB:2,500 holdingsโœ“
vs
XLF:68 holdingsโœ“
๐Ÿ“ˆ 5-Year Return
SCHB:+15.2%
vs
XLF:+14.8%
โ–ถAdditional Metrics (5)
โš–๏ธ Concentration Risk
SCHB: 33.2% in top 10โœ“
XLF: 55.7% in top 10
๐Ÿ“Š Assets Under Management
SCHB: $28B
XLF: $40Bโœ“
โšก Sharpe Ratio
SCHB: 0.78
XLF: 0.65
๐Ÿ“‰ Volatility
SCHB: 18.8%
XLF: 21.5%
๐Ÿ” Uniqueness vs SPY
SCHB: 16.3% unique
XLF: 86.3% uniqueโœ“

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

Detailed Overlap Analysis

65 shared holdings representing 12.1% portfolio overlap

Top Shared Holdings

#StockSCHB WeightXLF WeightOverlap
1
BRK-B
BRK-B
1.40%11.80%1.40%
2
JPM
JPM
1.33%10.82%1.33%
3
V
V
0.95%7.26%0.95%
4
MA
MA
0.76%5.81%0.76%
5
SCHW
SCHW
0.54%2.10%0.54%
6
BAC
BAC
0.49%4.78%0.49%
7
WFC
WFC
0.42%3.73%0.42%
8
GS
GS
0.37%3.47%0.37%
9
MS
MS
0.29%2.84%0.29%
10
SPGI
SPGI
0.29%2.01%0.29%

Overlap by Sector

Financials
14 stocks ยท 6.17% overlap
Other
51 stocks ยท 5.72% overlap

Showing top 5 sectors by overlap contribution

65
Shared Stocks
12.1%
Total Overlap
2
Sectors Represented

Top Holdings Only in SCHB

Unique to SCHB

โ†Scroll horizontally to see all dataโ†’
SymbolNameWeight
NVDANVDA7.17%
MSFTMSFT6.47%
AAPLAAPL5.00%
AMZNAMZN3.33%
METAMETA2.73%

Top Holdings Only in XLF

Unique to XLF

โ†Scroll horizontally to see all dataโ†’
SymbolNameWeight
AXPAXP2.59%
BLKBLK2.02%
FISVFISV0.47%
FITBFITB0.39%
CBOECBOE0.35%

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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