SPY vs IWB: Complete Comparison

SPDR S&P 500 ETF Trust vs iShares Russell 1000 ETF โ€” overlap, correlation, performance & risk analysis

Holdings Overlap
80.30%
Very High Overlap
Shared Holdings
420 of 477
Complete portfolio analysis
Calculation Method
Min Weight
Weighted intersection

Visual Overlap

SPY
IWB
80.3%
SPY Only
Overlap
IWB Only

Price Performance

Historical price comparison over 3M

SPY Return
+8.30%
IWB Return
+7.64%
Winner
SPY
+0.66%
Max Drawdown
SPY: -8.9%
IWB: -8.9%
SPY Volatility (annualized)14.07%
IWB Volatility (annualized)14.17%

๐Ÿ“ˆ Comparison

Metric
SPY
IWB
1 Year Return
+26.5%โœ“
+25.5%
3 Year Return
+10.2%
+9.8%
5 Year Return
+15.8%โœ“
+15.2%
Volatility
18.20%โœ“
18.80%
Expense Ratio
0.09%โœ“
0.20%
โš ๏ธ Past performance does not guarantee future results. Data may be delayed.

โš ๏ธRisk Metrics

Metric
SPY
IWB
Volatility
18.20%โœ“
18.80%
Sharpe Ratio
0.82
0.78
Sortino Ratio
1.15โœ“
1.05
Max Drawdown
-33.90%โœ“
-34.20%
Beta
1.00
1.01

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

6 - 5

๐Ÿ† SPY wins this comparison

Key Factors

๐Ÿ’ฐ Expense Ratio
SPY:0.09%โœ“
vs
IWB:0.20%โœ“
๐ŸŽฏ Number of Holdings
SPY:503 holdingsโœ“
vs
IWB:1,003 holdingsโœ“
๐Ÿ“ˆ 5-Year Return
SPY:+15.8%
vs
IWB:+15.2%
โ–ถAdditional Metrics (5)
โš–๏ธ Concentration Risk
SPY: 39.1% in top 10
IWB: 36.5% in top 10
๐Ÿ“Š Assets Under Management
SPY: $450B โœ“โœ“
IWB: $30B
โšก Sharpe Ratio
SPY: 0.82
IWB: 0.78
๐Ÿ“‰ Volatility
SPY: 18.2%
IWB: 18.8%
๐Ÿ” Uniqueness vs SPY
SPY: -0.0% unique
IWB: 19.7% uniqueโœ“

Bottom line: SPY wins with better expense ratio. Consider SPY for your portfolio, but IWB is still a solid choice if you prefer its specific advantages.

Detailed Overlap Analysis

420 shared holdings representing 80.3% portfolio overlap

Top Shared Holdings

#StockSPY WeightIWB WeightOverlap
1
NVDA
NVDA
7.73%6.89%6.89%
2
AAPL
AAPL
6.82%6.43%6.43%
3
MSFT
MSFT
6.11%5.78%5.78%
4
AMZN
AMZN
3.81%3.45%3.45%
5
GOOGL
GOOGL
3.08%2.89%2.89%
6
AVGO
AVGO
2.79%2.94%2.79%
7
GOOG
GOOG
2.47%2.36%2.36%
8
META
META
2.45%2.31%2.31%
9
TSLA
TSLA
2.30%1.96%1.96%
10
BRK-B
BRK-B
1.55%1.46%1.46%

Overlap by Sector

Technology
13 stocks ยท 30.61% overlap
Other
342 stocks ยท 21.89% overlap
Consumer Discretionary
6 stocks ยท 5.97% overlap
Healthcare
13 stocks ยท 4.42% overlap
Financials
10 stocks ยท 4.20% overlap

Showing top 5 sectors by overlap contribution

420
Shared Stocks
80.3%
Total Overlap
5
Sectors Represented

Top Holdings Only in SPY

Unique to SPY

โ†Scroll horizontally to see all dataโ†’
SymbolNameWeight
PLTRPLTR0.75%
BACBAC0.64%
AMDAMD0.59%
HDHD0.58%
PGPG0.57%

Top Holdings Only in IWB

Unique to IWB

โ†Scroll horizontally to see all dataโ†’
SymbolNameWeight
SPOTSPOT0.28%
NUNU0.18%
MRVLMRVL0.13%
DASHDASH0.13%
VRTVRT0.11%

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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