IWD vs SPY: Complete Comparison

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

Holdings Overlap
41.92%
Moderate Overlap
Shared Holdings
354 of 477
Complete portfolio analysis
Calculation Method
Min Weight
Weighted intersection

Visual Overlap

IWD
SPY
41.9%
IWD Only
Overlap
SPY Only

Price Performance

Historical price comparison over 3M

IWD Return
+9.13%
SPY Return
+8.73%
Winner
IWD
+0.40%
Max Drawdown
IWD: -6.8%
SPY: -8.9%
IWD Volatility (annualized)12.27%
SPY Volatility (annualized)14.10%

๐Ÿ“ˆ Comparison

Metric
IWD
SPY
1 Year Return
+19.5%
+26.5%โœ“
3 Year Return
+7.2%
+10.2%โœ“
5 Year Return
+11.8%
+15.8%โœ“
Volatility
17.20%โœ“
18.20%
Expense Ratio
0.19%
0.09%โœ“
โš ๏ธ Past performance does not guarantee future results. Data may be delayed.

โš ๏ธRisk Metrics

Metric
IWD
SPY
Volatility
17.20%โœ“
18.20%
Sharpe Ratio
0.65
0.82โœ“
Sortino Ratio
0.92
1.15โœ“
Max Drawdown
-38.50%
-33.90%โœ“
Beta
0.88
1.00

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

7 - 9

๐Ÿ† SPY wins this comparison

Key Factors

๐Ÿ’ฐ Expense Ratio
IWD:0.19%โœ“
vs
SPY:0.09%โœ“
๐ŸŽฏ Number of Holdings
IWD:820 holdingsโœ“
vs
SPY:503 holdingsโœ“
๐Ÿ“ˆ 5-Year Return
IWD:+11.8%โœ“
vs
SPY:+15.8%โœ“
โ–ถAdditional Metrics (5)
โš–๏ธ Concentration Risk
IWD: 19.0% in top 10โœ“
SPY: 39.1% in top 10
๐Ÿ“Š Assets Under Management
IWD: $60B โœ“
SPY: $450B โœ“
โšก Sharpe Ratio
IWD: 0.65
SPY: 0.82โœ“
๐Ÿ“‰ Volatility
IWD: 17.2%
SPY: 18.2%
๐Ÿ” Uniqueness vs SPY
IWD: 58.1% uniqueโœ“
SPY: -0.0% unique

Bottom line: SPY wins with better expense ratio and 5-year return. Consider SPY for your portfolio, but IWD is still a solid choice if you prefer its specific advantages.

Detailed Overlap Analysis

354 shared holdings representing 41.9% portfolio overlap

Top Shared Holdings

#StockIWD WeightSPY WeightOverlap
1
GOOGL
GOOGL
2.17%3.08%2.17%
2
AMZN
AMZN
2.01%3.81%2.01%
3
GOOG
GOOG
1.77%2.47%1.77%
4
BRK-B
BRK-B
3.07%1.55%1.55%
5
JPM
JPM
2.93%1.51%1.51%
6
META
META
0.87%2.45%0.87%
7
XOM
XOM
1.68%0.85%0.85%
8
JNJ
JNJ
1.63%0.84%0.84%
9
WMT
WMT
1.49%0.83%0.83%
10
BAC
BAC
1.12%0.64%0.64%

Overlap by Sector

Other
293 stocks ยท 17.61% overlap
Technology
8 stocks ยท 6.28% overlap
Financials
7 stocks ยท 3.50% overlap
Consumer Discretionary
6 stocks ยท 2.93% overlap
Healthcare
10 stocks ยท 2.91% overlap

Showing top 5 sectors by overlap contribution

354
Shared Stocks
41.9%
Total Overlap
5
Sectors Represented

Top Holdings Only in IWD

Unique to IWD

โ†Scroll horizontally to see all dataโ†’
SymbolNameWeight
MRVLMRVL0.25%
AUAU0.24%
WDCWDC0.20%
PCARPCAR0.19%
MSTRMSTR0.15%

Top Holdings Only in SPY

Unique to SPY

โ†Scroll horizontally to see all dataโ†’
SymbolNameWeight
NVDANVDA7.73%
AAPLAAPL6.82%
MSFTMSFT6.11%
AVGOAVGO2.79%
TSLATSLA2.30%

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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