IWD vs QQQ: Complete Comparison

iShares Russell 1000 Value ETF vs Invesco QQQ Trust โ€” overlap, correlation, performance & risk analysis

Holdings Overlap
19.14%
Very Low Overlap
Shared Holdings
47 of 100
Complete portfolio analysis
Calculation Method
Min Weight
Weighted intersection

Visual Overlap

IWD
QQQ
19.1%
IWD Only
Overlap
QQQ Only

Price Performance

Historical price comparison over 3M

IWD Return
+9.13%
QQQ Return
+17.60%
Winner
QQQ
+8.47%
Max Drawdown
IWD: -6.8%
QQQ: -11.7%
IWD Volatility (annualized)12.27%
QQQ Volatility (annualized)18.91%

๐Ÿ“ˆ Comparison

Metric
IWD
QQQ
1 Year Return
+19.5%
+28.2%โœ“
3 Year Return
+7.2%
+12.5%โœ“
5 Year Return
+11.8%
+20.1%โœ“
Volatility
17.20%โœ“
22.50%
Expense Ratio
0.19%โœ“
0.20%
โš ๏ธ Past performance does not guarantee future results. Data may be delayed.

โš ๏ธRisk Metrics

Metric
IWD
QQQ
Volatility
17.20%โœ“
22.50%
Sharpe Ratio
0.65
0.88โœ“
Sortino Ratio
0.92
1.22โœ“
Max Drawdown
-38.50%
-35.20%โœ“
Beta
0.88
1.18

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 - 6

๐Ÿ† IWD wins this comparison

Key Factors

๐Ÿ’ฐ Expense Ratio
IWD:0.19%โœ“
vs
QQQ:0.20%โœ“
๐ŸŽฏ Number of Holdings
IWD:820 holdingsโœ“
vs
QQQ:101 holdingsโœ“
๐Ÿ“ˆ 5-Year Return
IWD:+11.8%โœ“
vs
QQQ:+20.1%โœ“
โ–ถAdditional Metrics (5)
โš–๏ธ Concentration Risk
IWD: 19.0% in top 10โœ“
QQQ: 49.6% in top 10
๐Ÿ“Š Assets Under Management
IWD: $60B โœ“
QQQ: $220B โœ“
โšก Sharpe Ratio
IWD: 0.65
QQQ: 0.88โœ“
๐Ÿ“‰ Volatility
IWD: 17.2%โœ“
QQQ: 22.5%
๐Ÿ” Uniqueness vs SPY
IWD: 58.1% uniqueโœ“
QQQ: 48.3% unique

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

Detailed Overlap Analysis

47 shared holdings representing 19.1% portfolio overlap

Top Shared Holdings

#StockIWD WeightQQQ WeightOverlap
1
GOOGL
GOOGL
2.17%3.58%2.17%
2
AMZN
AMZN
2.01%4.87%2.01%
3
GOOG
GOOG
1.77%3.35%1.77%
4
CSCO
CSCO
1.05%1.67%1.05%
5
MU
MU
0.92%1.75%0.92%
6
META
META
0.87%3.85%0.87%
7
GILD
GILD
0.37%0.84%0.37%
8
CMCSA
CMCSA
0.33%0.59%0.33%
9
TXN
TXN
0.33%0.87%0.33%
10
TMUS
TMUS
0.31%1.21%0.31%

Overlap by Sector

Technology
9 stocks ยท 7.56% overlap
Other
30 stocks ยท 3.63% overlap
Consumer Discretionary
2 stocks ยท 2.29% overlap
Communication Services
2 stocks ยท 0.64% overlap
Healthcare
2 stocks ยท 0.52% overlap

Showing top 5 sectors by overlap contribution

47
Shared Stocks
19.1%
Total Overlap
5
Sectors Represented

Top Holdings Only in IWD

Unique to IWD

โ†Scroll horizontally to see all dataโ†’
SymbolNameWeight
BRK-BBRK-B3.07%
JPMJPM2.93%
XOMXOM1.68%
JNJJNJ1.63%
WMTWMT1.49%

Top Holdings Only in QQQ

Unique to QQQ

โ†Scroll horizontally to see all dataโ†’
SymbolNameWeight
NVDANVDA8.99%
AAPLAAPL7.94%
MSFTMSFT7.12%
TSLATSLA4.21%
AVGOAVGO3.24%

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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