IEFA vs QQQ: Complete Comparison

iShares Core MSCI EAFE ETF vs Invesco QQQ Trust — overlap, correlation, performance & risk analysis

Holdings Overlap
0.00%
Very Low Overlap
Shared Holdings
0 of 10
Complete portfolio analysis
Calculation Method
Min Weight
Weighted intersection

Visual Overlap

IEFA
QQQ
0.0%
IEFA Only
Overlap
QQQ Only

Price Performance

Historical price comparison over 3M

IEFA Return
+4.28%
QQQ Return
+13.75%
Winner
QQQ
+9.47%
Max Drawdown
IEFA: -11.5%
QQQ: -11.7%
IEFA Volatility (annualized)19.92%
QQQ Volatility (annualized)18.69%

📈 Comparison

Metric
IEFA
QQQ
1 Year Return
N/A
+28.2%
3 Year Return
N/A
+12.5%
5 Year Return
N/A
+20.1%
Volatility
undefined%
22.50%
Expense Ratio
0.50%
0.20%
⚠️ Past performance does not guarantee future results. Data may be delayed.

⚔️ Comparison

4 - 10

🏆 QQQ wins this comparison

Key Factors

💰 Expense Ratio
IEFA:0.50%
vs
QQQ:0.20%
🎯 Number of Holdings
IEFA:10 holdings
vs
QQQ:101 holdings
Additional Metrics (3)
⚖️ Concentration Risk
IEFA: 14.3% in top 10
QQQ: 49.6% in top 10
📊 Assets Under Management
IEFA: $5B
QQQ: $220B ✓
🔍 Uniqueness vs SPY
IEFA: 100.0% unique
QQQ: 48.3% unique

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

Detailed Overlap Analysis

0 shared holdings representing 0.0% portfolio overlap

Top Shared Holdings

#StockIEFA WeightQQQ WeightOverlap
0
Shared Stocks
0.0%
Total Overlap
0
Sectors Represented

Top Holdings Only in IEFA

Unique to IEFA

Scroll horizontally to see all data
SymbolNameWeight
NOVO-B.CONovo Nordisk A/S2.15%
ASML.ASASML Holding NV2.08%
NESN.SWNestle SA1.62%
AZN.LAstraZeneca plc1.45%
SHEL.LShell plc1.38%

Top Holdings Only in QQQ

Unique to QQQ

Scroll horizontally to see all data
SymbolNameWeight
NVDANVDA8.99%
AAPLAAPL7.94%
MSFTMSFT7.12%
AMZNAMZN4.87%
TSLATSLA4.21%

Price Correlation

How We Calculate Overlap

We use the minimum weight method with normalization to calculate portfolio overlap:

Overlap = Σ 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.

📊 This analysis is based on publicly available holdings data. For the most current and complete holdings information, please visit the official ETF provider websites.

Want deeper analysis on IEFA or QQQ?

Complement your EigenDex analysis with these research tools.

Some links may be affiliate links. We may earn a commission at no extra cost to you. This helps support EigenDex as a free tool. We only recommend tools we believe provide genuine value to investors.

Related Articles

Compare More ETFs