IWD vs XLF: Complete Comparison

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

Holdings Overlap
20.03%
Low Overlap
Shared Holdings
59 of 75
Complete portfolio analysis
Calculation Method
Min Weight
Weighted intersection

Visual Overlap

IWD
XLF
20.0%
IWD Only
Overlap
XLF Only

Price Performance

Historical price comparison over 3M

IWD Return
+9.13%
XLF Return
-4.14%
Winner
IWD
+13.27%
Max Drawdown
IWD: -6.8%
XLF: -11.7%
IWD Volatility (annualized)12.27%
XLF Volatility (annualized)16.25%

๐Ÿ“ˆ Comparison

Metric
IWD
XLF
1 Year Return
+19.5%
+28.5%โœ“
3 Year Return
+7.2%
+10.5%โœ“
5 Year Return
+11.8%
+14.8%โœ“
Volatility
17.20%โœ“
21.50%
Expense Ratio
0.19%
0.10%โœ“
โš ๏ธ Past performance does not guarantee future results. Data may be delayed.

โš ๏ธRisk Metrics

Metric
IWD
XLF
Volatility
17.20%โœ“
21.50%
Sharpe Ratio
0.65
0.65
Sortino Ratio
0.92
0.88
Max Drawdown
-38.50%โœ“
-55.20%
Beta
0.88
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

9 - 9

Key Factors

๐Ÿ’ฐ Expense Ratio
IWD:0.19%โœ“
vs
XLF:0.10%โœ“
๐ŸŽฏ Number of Holdings
IWD:820 holdingsโœ“
vs
XLF:68 holdingsโœ“
๐Ÿ“ˆ 5-Year Return
IWD:+11.8%โœ“
vs
XLF:+14.8%โœ“
โ–ถAdditional Metrics (5)
โš–๏ธ Concentration Risk
IWD: 19.0% in top 10โœ“
XLF: 55.7% in top 10
๐Ÿ“Š Assets Under Management
IWD: $60B โœ“โœ“
XLF: $40B
โšก Sharpe Ratio
IWD: 0.65
XLF: 0.65
๐Ÿ“‰ Volatility
IWD: 17.2%โœ“
XLF: 21.5%
๐Ÿ” Uniqueness vs SPY
IWD: 58.1% unique
XLF: 86.3% uniqueโœ“

Bottom line: IWD and XLF are very similar. Choose based on your broker's commission structure or personal preference.

Detailed Overlap Analysis

59 shared holdings representing 20.0% portfolio overlap

Top Shared Holdings

#StockIWD WeightXLF WeightOverlap
1
BRK-B
BRK-B
3.07%11.80%3.07%
2
JPM
JPM
2.93%10.82%2.93%
3
BAC
BAC
1.12%4.78%1.12%
4
WFC
WFC
0.97%3.73%0.97%
5
GS
GS
0.83%3.47%0.83%
6
CB
CB
0.37%1.46%0.37%
7
CME
CME
0.33%1.27%0.33%
8
ICE
ICE
0.30%1.18%0.30%
9
HOOD
HOOD
0.29%1.38%0.29%
10
USB
USB
0.27%1.05%0.27%

Overlap by Sector

Other
52 stocks ยท 9.11% overlap
Financials
7 stocks ยท 6.59% overlap

Showing top 5 sectors by overlap contribution

59
Shared Stocks
20.0%
Total Overlap
2
Sectors Represented

Top Holdings Only in IWD

Unique to IWD

โ†Scroll horizontally to see all dataโ†’
SymbolNameWeight
GOOGLGOOGL2.17%
AMZNAMZN2.01%
GOOGGOOG1.77%
XOMXOM1.68%
JNJJNJ1.63%

Top Holdings Only in XLF

Unique to XLF

โ†Scroll horizontally to see all dataโ†’
SymbolNameWeight
VV7.26%
MAMA5.81%
MSMS2.84%
CC2.64%
AXPAXP2.59%

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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