QQQ vs XLF Overlap

Comparing Invesco QQQ Trust and Financial Select Sector SPDR Fund

Holdings Overlap
0.30%
Very Low Overlap
Shared Holdings
1 of 75
Complete portfolio analysis
Calculation Method
Min Weight
Weighted intersection

Visual Overlap

QQQ
XLF
0.3%
QQQ Only
Overlap
XLF Only

Price Performance

Historical price comparison over 3M

QQQ Return
+9.87%
XLF Return
+6.68%
Winner
QQQ
+3.19%
Max Drawdown
QQQ: -7.9%
XLF: -5.6%
QQQ Volatility (annualized)15.94%
XLF Volatility (annualized)13.17%

๐Ÿ“ˆ Comparison

Metric
QQQ
XLF
1 Year Return
+28.2%
+28.5%
3 Year Return
+12.5%โœ“
+10.5%
5 Year Return
+20.1%โœ“
+14.8%
Volatility
22.50%
21.50%โœ“
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
QQQ
XLF
Volatility
22.50%
21.50%โœ“
Sharpe Ratio
0.88โœ“
0.65
Sortino Ratio
1.22โœ“
0.88
Max Drawdown
-35.20%โœ“
-55.20%
Beta
1.18
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

12 - 5

๐Ÿ† QQQ wins this comparison

Key Factors

๐Ÿ’ฐ Expense Ratio
QQQ:0.20%โœ“
vs
XLF:0.10%โœ“
๐ŸŽฏ Number of Holdings
QQQ:101 holdingsโœ“
vs
XLF:68 holdingsโœ“
๐Ÿ“ˆ 5-Year Return
QQQ:+20.1%โœ“
vs
XLF:+14.8%โœ“
โ–ถAdditional Metrics (5)
โš–๏ธ Concentration Risk
QQQ: 49.6% in top 10โœ“
XLF: 55.7% in top 10
๐Ÿ“Š Assets Under Management
QQQ: $220B โœ“โœ“
XLF: $40B
โšก Sharpe Ratio
QQQ: 0.88โœ“
XLF: 0.65
๐Ÿ“‰ Volatility
QQQ: 22.5%
XLF: 21.5%
๐Ÿ” Uniqueness vs SPY
QQQ: 48.3% unique
XLF: 86.3% uniqueโœ“

Bottom line: QQQ wins with better number of holdings and 5-year return. Consider QQQ for your portfolio, but XLF is still a solid choice if you prefer its specific advantages.

Detailed Overlap Analysis

1 shared holdings representing 0.3% portfolio overlap

Top Shared Holdings

#StockQQQ WeightXLF WeightOverlap
1
PYPL
PYPL
0.30%0.76%0.30%

Overlap by Sector

Other
1 stocks ยท 0.30% overlap

Showing top 5 sectors by overlap contribution

1
Shared Stocks
0.3%
Total Overlap
1
Sectors Represented

Top Holdings Only in QQQ

Unique to QQQ

โ†Scroll horizontally to see all dataโ†’
SymbolNameWeight
NVDANVDA8.99%
AAPLAAPL7.94%
MSFTMSFT7.12%
AMZNAMZN4.87%
TSLATSLA4.21%

Top Holdings Only in XLF

Unique to XLF

โ†Scroll horizontally to see all dataโ†’
SymbolNameWeight
BRK-BBRK-B11.80%
JPMJPM10.82%
VV7.26%
MAMA5.81%
BACBAC4.78%

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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