IWD vs XLK: Complete Comparison

iShares Russell 1000 Value ETF vs Technology Select Sector SPDR Fund โ€” overlap, correlation, performance & risk analysis

Holdings Overlap
7.34%
Very Low Overlap
Shared Holdings
34 of 70
Complete portfolio analysis
Calculation Method
Min Weight
Weighted intersection

Visual Overlap

IWD
XLK
7.3%
IWD Only
Overlap
XLK Only

Price Performance

Historical price comparison over 3M

IWD Return
+9.13%
XLK Return
+27.44%
Winner
XLK
+18.31%
Max Drawdown
IWD: -6.8%
XLK: -14.5%
IWD Volatility (annualized)12.27%
XLK Volatility (annualized)25.45%

๐Ÿ“ˆ Comparison

Metric
IWD
XLK
1 Year Return
+19.5%
+35.2%โœ“
3 Year Return
+7.2%
+15.8%โœ“
5 Year Return
+11.8%
+25.5%โœ“
Volatility
17.20%โœ“
24.20%
Expense Ratio
0.19%
0.10%โœ“
โš ๏ธ Past performance does not guarantee future results. Data may be delayed.

โš ๏ธRisk Metrics

Metric
IWD
XLK
Volatility
17.20%โœ“
24.20%
Sharpe Ratio
0.65
1.05โœ“
Sortino Ratio
0.92
1.42โœ“
Max Drawdown
-38.50%
-38.50%
Beta
0.88
1.22

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 - 11

๐Ÿ† XLK wins this comparison

Key Factors

๐Ÿ’ฐ Expense Ratio
IWD:0.19%โœ“
vs
XLK:0.10%โœ“
๐ŸŽฏ Number of Holdings
IWD:820 holdingsโœ“
vs
XLK:65 holdingsโœ“
๐Ÿ“ˆ 5-Year Return
IWD:+11.8%โœ“
vs
XLK:+25.5%โœ“
โ–ถAdditional Metrics (5)
โš–๏ธ Concentration Risk
IWD: 19.0% in top 10โœ“
XLK: 62.3% in top 10
๐Ÿ“Š Assets Under Management
IWD: $60B โœ“
XLK: $55B โœ“
โšก Sharpe Ratio
IWD: 0.65
XLK: 1.05โœ“
๐Ÿ“‰ Volatility
IWD: 17.2%โœ“
XLK: 24.2%
๐Ÿ” Uniqueness vs SPY
IWD: 58.1% unique
XLK: 65.5% uniqueโœ“

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

Detailed Overlap Analysis

34 shared holdings representing 7.3% portfolio overlap

Top Shared Holdings

#StockIWD WeightXLK WeightOverlap
1
CSCO
CSCO
1.05%2.60%1.05%
2
IBM
IBM
0.96%2.41%0.96%
3
MU
MU
0.92%2.72%0.92%
4
TXN
TXN
0.33%1.36%0.33%
5
GLW
GLW
0.23%0.59%0.23%
6
WDC
WDC
0.20%0.52%0.20%
7
ROP
ROP
0.16%0.41%0.16%
8
CTSH
CTSH
0.13%0.35%0.13%
9
MCHP
MCHP
0.12%0.30%0.12%
10
DELL
DELL
0.12%0.33%0.12%

Overlap by Sector

Other
29 stocks ยท 3.25% overlap
Technology
5 stocks ยท 2.50% overlap

Showing top 5 sectors by overlap contribution

34
Shared Stocks
7.3%
Total Overlap
2
Sectors Represented

Top Holdings Only in IWD

Unique to IWD

โ†Scroll horizontally to see all dataโ†’
SymbolNameWeight
BRK-BBRK-B3.07%
JPMJPM2.93%
GOOGLGOOGL2.17%
AMZNAMZN2.01%
GOOGGOOG1.77%

Top Holdings Only in XLK

Unique to XLK

โ†Scroll horizontally to see all dataโ†’
SymbolNameWeight
NVDANVDA14.84%
AAPLAAPL13.10%
MSFTMSFT11.75%
AVGOAVGO5.36%
PLTRPLTR3.75%

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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