IWB vs XLF: Complete Comparison

iShares Russell 1000 ETF vs Financial Select Sector SPDR Fund โ€” overlap, correlation, performance & risk analysis

Holdings Overlap
11.38%
Very Low Overlap
Shared Holdings
63 of 75
Complete portfolio analysis
Calculation Method
Min Weight
Weighted intersection

Visual Overlap

IWB
XLF
11.4%
IWB Only
Overlap
XLF Only

Price Performance

Historical price comparison over 3M

IWB Return
+8.28%
XLF Return
+6.68%
Winner
IWB
+1.60%
Max Drawdown
IWB: -5.2%
XLF: -5.6%
IWB Volatility (annualized)11.54%
XLF Volatility (annualized)13.17%

๐Ÿ“ˆ Comparison

Metric
IWB
XLF
1 Year Return
+25.5%
+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
0.20%
0.10%โœ“
โš ๏ธ Past performance does not guarantee future results. Data may be delayed.

โš ๏ธRisk Metrics

Metric
IWB
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

5 - 8

๐Ÿ† XLF wins this comparison

Key Factors

๐Ÿ’ฐ Expense Ratio
IWB:0.20%โœ“
vs
XLF:0.10%โœ“
๐ŸŽฏ Number of Holdings
IWB:1,003 holdingsโœ“
vs
XLF:68 holdingsโœ“
๐Ÿ“ˆ 5-Year Return
IWB:+15.2%
vs
XLF:+14.8%
โ–ถAdditional Metrics (5)
โš–๏ธ Concentration Risk
IWB: 36.5% in top 10โœ“
XLF: 55.7% in top 10
๐Ÿ“Š Assets Under Management
IWB: $30B
XLF: $40Bโœ“
โšก Sharpe Ratio
IWB: 0.78
XLF: 0.65
๐Ÿ“‰ Volatility
IWB: 18.8%
XLF: 21.5%
๐Ÿ” Uniqueness vs SPY
IWB: 19.7% unique
XLF: 86.3% uniqueโœ“

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

Detailed Overlap Analysis

63 shared holdings representing 11.4% portfolio overlap

Top Shared Holdings

#StockIWB WeightXLF WeightOverlap
1
BRK-B
BRK-B
1.46%11.80%1.46%
2
JPM
JPM
1.39%10.82%1.39%
3
V
V
0.88%7.26%0.88%
4
MA
MA
0.70%5.81%0.70%
5
ICE
ICE
0.28%1.18%0.28%
6
SCHW
SCHW
0.26%2.10%0.26%
7
BLK
BLK
0.26%2.02%0.26%
8
SPGI
SPGI
0.24%2.01%0.24%
9
COF
COF
0.23%1.93%0.23%
10
PGR
PGR
0.21%1.74%0.21%

Overlap by Sector

Other
53 stocks ยท 5.36% overlap
Financials
10 stocks ยท 4.20% overlap

Showing top 5 sectors by overlap contribution

63
Shared Stocks
11.4%
Total Overlap
2
Sectors Represented

Top Holdings Only in IWB

Unique to IWB

โ†Scroll horizontally to see all dataโ†’
SymbolNameWeight
NVDANVDA6.89%
AAPLAAPL6.43%
MSFTMSFT5.78%
AMZNAMZN3.45%
AVGOAVGO2.94%

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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