XLF vs DIA Overlap

Comparing Financial Select Sector SPDR Fund and SPDR Dow Jones Industrial Average ETF

Holdings Overlap
10.76%
Very Low Overlap
Shared Holdings
2 of 10
Complete portfolio analysis
Calculation Method
Min Weight
Weighted intersection

Visual Overlap

XLF
DIA
10.8%
XLF Only
Overlap
DIA Only

Price Performance

Historical price comparison over 3M

XLF Return
+6.68%
DIA Return
+9.12%
Winner
DIA
+2.44%
Max Drawdown
XLF: -5.6%
DIA: -5.1%
XLF Volatility (annualized)13.17%
DIA Volatility (annualized)10.72%

๐Ÿ“ˆ Comparison

Metric
XLF
DIA
1 Year Return
+28.5%โœ“
+22.8%
3 Year Return
+10.5%โœ“
+8.5%
5 Year Return
+14.8%โœ“
+13.2%
Volatility
21.50%
17.50%โœ“
Expense Ratio
0.10%โœ“
0.16%
โš ๏ธ Past performance does not guarantee future results. Data may be delayed.

โš ๏ธRisk Metrics

Metric
XLF
DIA
Volatility
21.50%
17.50%โœ“
Sharpe Ratio
0.65
0.71โœ“
Sortino Ratio
0.88
1.02โœ“
Max Drawdown
-55.20%
-36.80%โœ“
Beta
1.12
0.92

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

11 - 4

๐Ÿ† XLF wins this comparison

Key Factors

๐Ÿ’ฐ Expense Ratio
XLF:0.10%โœ“
vs
DIA:0.16%โœ“
๐ŸŽฏ Number of Holdings
XLF:68 holdingsโœ“
vs
DIA:30 holdingsโœ“
๐Ÿ“ˆ 5-Year Return
XLF:+14.8%
vs
DIA:+13.2%
โ–ถAdditional Metrics (5)
โš–๏ธ Concentration Risk
XLF: 55.7% in top 10โœ“
DIA: 65.1% in top 10
๐Ÿ“Š Assets Under Management
XLF: $40Bโœ“
DIA: $35B
โšก Sharpe Ratio
XLF: 0.65
DIA: 0.71
๐Ÿ“‰ Volatility
XLF: 21.5%
DIA: 17.5%โœ“
๐Ÿ” Uniqueness vs SPY
XLF: 86.3% unique
DIA: 89.5% uniqueโœ“

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

Detailed Overlap Analysis

2 shared holdings representing 10.8% portfolio overlap

Top Shared Holdings

#StockXLF WeightDIA WeightOverlap
1
V
V
7.26%5.65%5.65%
2
GS
GS
3.47%8.25%3.47%

Overlap by Sector

Financials
2 stocks ยท 9.12% overlap

Showing top 5 sectors by overlap contribution

2
Shared Stocks
10.8%
Total Overlap
1
Sectors Represented

Top Holdings Only in XLF

Unique to XLF

โ†Scroll horizontally to see all dataโ†’
SymbolNameWeight
BRK-BBRK-B11.80%
JPMJPM10.82%
MAMA5.81%
BACBAC4.78%
WFCWFC3.73%

Top Holdings Only in DIA

Unique to DIA

โ†Scroll horizontally to see all dataโ†’
SymbolNameWeight
UNHUnitedHealth Group9.85%
MSFTMicrosoft Corp6.85%
HDHome Depot6.65%
CATCaterpillar Inc6.25%
AMGNAmgen Inc5.85%

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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