IJR vs XLF: Complete Comparison

iShares Core S&P Small-Cap ETF vs Financial Select Sector SPDR Fund — overlap, correlation, performance & risk analysis

Holdings Overlap
0.00%
Very Low Overlap
Shared Holdings
0 of 75
Complete portfolio analysis
Calculation Method
Min Weight
Weighted intersection

Visual Overlap

IJR
XLF
0.0%
IJR Only
Overlap
XLF Only

Price Performance

Historical price comparison over 3M

IJR Return
+8.33%
XLF Return
-4.14%
Winner
IJR
+12.47%
Max Drawdown
IJR: -8.7%
XLF: -11.7%
IJR Volatility (annualized)17.73%
XLF Volatility (annualized)16.25%

📈 Comparison

Metric
IJR
XLF
1 Year Return
+18.8%
+28.5%
3 Year Return
+4.8%
+10.5%
5 Year Return
+11.2%
+14.8%
Volatility
23.50%
21.50%
Expense Ratio
0.06%
0.10%
⚠️ Past performance does not guarantee future results. Data may be delayed.

⚠️Risk Metrics

Metric
IJR
XLF
Volatility
23.50%
21.50%
Sharpe Ratio
0.45
0.65
Sortino Ratio
0.62
0.88
Max Drawdown
-43.20%
-55.20%
Beta
1.18
1.12

Interpretation:

  • 📊 Lower volatility = smoother ride
  • ⚡ Higher Sharpe/Sortino = better risk-adjusted returns
  • ⚠️ Smaller max drawdown = less worst-case pain
  • 📈 Beta > 1 = more volatile than S&P 500

⚔️ Comparison

12 - 6

🏆 IJR wins this comparison

Key Factors

💰 Expense Ratio
IJR:0.06%
vs
XLF:0.10%
🎯 Number of Holdings
IJR:600 holdings
vs
XLF:68 holdings
📈 5-Year Return
IJR:+11.2%
vs
XLF:+14.8%
Additional Metrics (5)
⚖️ Concentration Risk
IJR: 6.2% in top 10
XLF: 55.7% in top 10
📊 Assets Under Management
IJR: $70B ✓
XLF: $40B
Sharpe Ratio
IJR: 0.45
XLF: 0.65
📉 Volatility
IJR: 23.5%
XLF: 21.5%
🔍 Uniqueness vs SPY
IJR: 100.0% unique
XLF: 86.3% unique

Bottom line: IJR wins with better expense ratio and number of holdings. Consider IJR for your portfolio, but XLF 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

#StockIJR WeightXLF WeightOverlap
0
Shared Stocks
0.0%
Total Overlap
0
Sectors Represented

Top Holdings Only in IJR

Unique to IJR

Scroll horizontally to see all data
SymbolNameWeight
HLHL0.71%
SPXCSPXC0.69%
DYDY0.68%
ARWRARWR0.64%
IDCCIDCC0.63%

Top Holdings Only in XLF

Unique to XLF

Scroll horizontally to see all data
SymbolNameWeight
BRK-BBRK-B11.80%
JPMJPM10.82%
VV7.26%
MAMA5.81%
BACBAC4.78%

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.

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