FNCL
Price
$76.56
Change
+$0.31 (+0.41%)
Updated
Jun 26, 04:59 PM (EDT)
Net Assets
2.23B
Intraday BUY SELL Signals
VFH
Price
$131.48
Change
+$0.47 (+0.36%)
Updated
Jun 26, 04:59 PM (EDT)
Net Assets
13.46B
Intraday BUY SELL Signals
XLF
Price
$53.58
Change
+$0.13 (+0.24%)
Updated
Jun 26, 04:59 PM (EDT)
Net Assets
50.57B
Intraday BUY SELL Signals
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FNCL or VFH or XLF

FNCL vs VFH vs XLF Comparison Chart in %
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Which ETF would AI Choose? Fidelity MSCI Financials Index ETF (FNCL) vs. Vanguard Financials ETF (VFH) vs. Financial Select Sector SPDR Fund (XLF)

Key Takeaways

  • FNCL and VFH offer broad exposure to ~400 financial stocks across market caps with MSCI IMI indexes, while XLF focuses on ~75-80 large-cap S&P 500 financials for higher concentration.
  • All three maintain ultra-low expense ratios (FNCL and XLF at 0.08%, VFH at 0.09%), prioritizing cost efficiency in passive financial sector tracking.
  • XLF demonstrates superior liquidity with over $50 billion in AUM (assets under management, total value of fund assets) and massive daily trading volume, ideal for institutional flows.
  • Broader diversification in FNCL and VFH reduces single-stock risk compared to XLF's top 10 holdings comprising over 55% of assets.
  • Financial services dominate allocations (96-98%) across all, with minor technology and real estate tilts; structures are non-diversified passive index trackers.
  • In recent market cycles, large-cap focus in XLF has shown slightly lower volatility, benefiting from mega-cap stability amid rate fluctuations.

Introduction

Investors seeking targeted exposure to the U.S. financial sector often compare FNCL, VFH, and XLF, as these ETFs provide passive access to banks, insurers, and payment networks amid evolving interest rates and regulatory shifts. FNCL and VFH track broad MSCI USA IMI Financials 25/50 Indexes, capturing large-, mid-, and small-cap firms for comprehensive coverage. In contrast, XLF mirrors the S&P Financial Select Sector Index, limited to S&P 500 constituents for large-cap emphasis. This comparison highlights structural trade-offs in diversification, liquidity, and market-cap tilt, relevant as financials navigate potential rate cuts, Basel III (international banking standards) capital rules, and nonbank competition in 2026.

Fidelity MSCI Financials Index ETF (FNCL) Overview

The Fidelity MSCI Financials Index ETF (FNCL) seeks investment results matching the MSCI USA IMI Financials 25/50 Index, representing U.S. financial sector performance across investable market caps. It holds approximately 385 stocks, investing at least 80% of assets in index securities using a representative sampling approach. Top holdings include JPMorgan Chase (10.01%), Berkshire Hathaway (BRK.B, 7.78%), Visa (6.71%), MAstercard (5.29%), and Bank of America (BAC, 4.31%). Sector allocation skews heavily to financial services (96.94%), with minor technology (2.06%) and real estate (0.72%). The expense ratio is 0.08%, and the fund is non-diversified with quarterly rebalancing aligned to the index.

Vanguard Financials ETF (VFH) Overview

Vanguard Financials ETF (VFH) tracks the MSCI US Investable Market Index (IMI)/Financials 25/50, encompassing large-, mid-, and small-cap U.S. financials under GICS classification. With 415 holdings, it employs full replication or sampling to mirror the benchmark. Top holdings feature JPMorgan Chase (9.41%), Berkshire Hathaway (BRK.B, 8.29%), MAstercard (5.32%), Visa (4.13%), and BAC (4.00%). Allocation is 96.90% financial services, 2.06% technology, and traces of real estate and industrials. Expense ratio stands at 0.09%, with a low 5% turnover reflecting stable index methodology; the fund is non-diversified.

Financial Select Sector SPDR Fund (XLF) Overview

The Financial Select Sector SPDR Fund (XLF) aims to replicate the Financial Select Sector Index, drawn from S&P 500 financial companies in banking, insurance, and capital markets. Holding 76 securities, it invests at least 95% in index components for precise tracking. Leading positions are Berkshire Hathaway (BRK.B, 11.93%), JPMorgan Chase (11.13%), Visa (7.33%), MAstercard (5.52%), and BAC (4.65%). Financial services comprise 98.01%, with negligible other sectors. Gross expense ratio is 0.08%; non-diversified structure follows S&P quarterly rebalances.

Industry and Thematic Landscape

The U.S. financial sector faces macroeconomic uncertainty in 2026, with Federal Reserve rate cuts to around 3.125% potentially pressuring net interest income (NII, revenue from interest-bearing assets minus costs) amid 3.2% inflation and softening jobs data. Banks hold strong capital buffers, but stablecoin growth and nonbank competition challenge deposits. Regulatory shifts, including Basel III Endgame refinements and GSIB (globally systemically important bank) surcharges, may ease leverage ratios to 3.5-4.5%, fostering consolidation. Earnings trends favor diversified fee income from payments and asset management, while insurance navigates catastrophe risks and AI adoption. Geopolitical tensions add volatility, with capital flows tilting toward resilient mega-caps.

Performance and Positioning Comparison

In recent months through early 2026, all three ETFs have trailed broader markets amid sector rotation, posting YTD declines around -5% with 3-month drops of -4% to -5%. XLF's large-cap focus yields marginally lower volatility (e.g., 1-month ~3.16%, 6-month ~11%), benefiting from BRK.B and JPM stability during rate uncertainty. FNCL and VFH, with mid/small-cap exposure, exhibit slightly higher fluctuations but trend consistency in upcycles. XLF's concentration amplifies mega-cap drawdowns less in volatile periods, while broader funds face higher sensitivity to regional banks. Differences stem from market-cap tilts: XLF lower risk, FNCL/VFH greater diversification potential.

AI Screener

Tickeron’s AI Screener is an AI-powered stock and ETF discovery tool that helps traders and investors filter the market based on technical patterns, fundamentals, trends, volatility, and AI-driven signals. Users can scan thousands of stocks and ETFs using customizable filters such as industry, market capitalization (total market value of outstanding shares), technical indicators like RSI (Relative Strength Index, momentum oscillator), price patterns, and performance metrics. The screener identifies trade ideas, trending stocks, breakout candidates, and market opportunities more efficiently than manual screening. Explore it today to uncover financial sector insights tailored to your strategy.

Tickeron AI Verdict

Tickeron’s AI favors XLF with moderate confidence (~60% probability) due to its unmatched liquidity, lowest expense ratio parity, large-cap stability reducing volatility in uncertain cycles, and superior AUM scale. While FNCL and VFH excel in diversification, XLF's positioning aligns best with current macro sensitivity and institutional preferences for risk-adjusted exposure.

Disclaimer

The information on this webpage is provided for general informational and educational purposes only and is not intended as investment advice, a recommendation to purchase or sell any security, or an offer or solicitation related to investments. It does not consider your personal financial situation, goals, or risk profile, and all investing carries inherent risks, including the possibility of losing your entire investment. For more details, please review our full disclaimer.

Disclaimers and Limitations

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SUMMARIES
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FUNDAMENTALS
Fundamentals
XLF has more net assets: 50.6B vs. VFH (13.5B) and FNCL (2.23B). FNCL has a higher annual dividend yield than XLF and VFH: FNCL (-0.949) vs XLF (-1.564) and VFH (-1.801). FNCL was incepted earlier than VFH and XLF: FNCL (13 years) vs VFH (22 years) and XLF (28 years). XLF (0.08) and FNCL (0.08) has a lower expense ratio than VFH (0.09). XLF has a higher turnover VFH (5.00) and FNCL (4.00) vs VFH (5.00) and FNCL (4.00).
FNCLVFHXLF
Gain YTD-0.949-1.801-1.564
Net Assets2.23B13.5B50.6B
Total Expense Ratio0.080.090.08
Turnover4.005.006.00
Yield1.671.541.54
Fund Existence13 years22 years28 years
TECHNICAL ANALYSIS
Technical Analysis
FNCLVFHXLF
RSI
ODDS (%)
Bearish Trend 2 days ago
90%
Bearish Trend 2 days ago
90%
Bearish Trend 2 days ago
84%
Stochastic
ODDS (%)
Bearish Trend 2 days ago
83%
Bearish Trend 2 days ago
79%
Bearish Trend 2 days ago
80%
Momentum
ODDS (%)
Bullish Trend 2 days ago
85%
Bullish Trend 2 days ago
87%
Bullish Trend 2 days ago
86%
MACD
ODDS (%)
Bullish Trend 2 days ago
79%
Bullish Trend 2 days ago
76%
Bullish Trend 2 days ago
77%
TrendWeek
ODDS (%)
Bearish Trend 2 days ago
80%
Bearish Trend 2 days ago
81%
Bearish Trend 2 days ago
82%
TrendMonth
ODDS (%)
Bullish Trend 2 days ago
81%
Bullish Trend 2 days ago
81%
Bullish Trend 2 days ago
81%
Advances
ODDS (%)
Bullish Trend 4 days ago
83%
Bullish Trend 4 days ago
82%
Bullish Trend 4 days ago
84%
Declines
ODDS (%)
Bearish Trend 2 days ago
82%
Bearish Trend 2 days ago
81%
Bearish Trend 2 days ago
82%
BollingerBands
ODDS (%)
Bearish Trend 2 days ago
90%
Bearish Trend 2 days ago
90%
Bearish Trend 2 days ago
88%
Aroon
ODDS (%)
Bearish Trend 2 days ago
84%
Bearish Trend 2 days ago
84%
Bearish Trend 2 days ago
83%
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FNCL
Daily Signal:
Gain/Loss:
VFH
Daily Signal:
Gain/Loss:
XLF
Daily Signal:
Gain/Loss:
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FNCL and

Correlation & Price change

A.I.dvisor indicates that over the last year, FNCL has been closely correlated with COF. These tickers have moved in lockstep 78% of the time. This A.I.-generated data suggests there is a high statistical probability that if FNCL jumps, then COF could also see price increases.

1D
1W
1M
1Q
6M
1Y
5Y
Ticker /
NAME
Correlation
To FNCL
1D Price
Change %
FNCL100%
-0.43%
COF - FNCL
78%
Closely correlated
+2.20%
BAC - FNCL
78%
Closely correlated
+0.80%
ASB - FNCL
78%
Closely correlated
+1.58%
AXP - FNCL
78%
Closely correlated
-0.03%
FNB - FNCL
77%
Closely correlated
+0.84%
More

VFH and

Correlation & Price change

A.I.dvisor indicates that over the last year, VFH has been closely correlated with COF. These tickers have moved in lockstep 79% of the time. This A.I.-generated data suggests there is a high statistical probability that if VFH jumps, then COF could also see price increases.

1D
1W
1M
1Q
6M
1Y
5Y
Ticker /
NAME
Correlation
To VFH
1D Price
Change %
VFH100%
-0.37%
COF - VFH
79%
Closely correlated
+2.20%
BAC - VFH
79%
Closely correlated
+0.80%
ASB - VFH
77%
Closely correlated
+1.58%
AXP - VFH
77%
Closely correlated
-0.03%
SYF - VFH
77%
Closely correlated
+2.88%
More

XLF and

Correlation & Price change

A.I.dvisor indicates that over the last year, XLF has been closely correlated with BAC. These tickers have moved in lockstep 79% of the time. This A.I.-generated data suggests there is a high statistical probability that if XLF jumps, then BAC could also see price increases.

1D
1W
1M
1Q
6M
1Y
5Y
Ticker /
NAME
Correlation
To XLF
1D Price
Change %
XLF100%
-0.50%
BAC - XLF
79%
Closely correlated
+0.80%
JPM - XLF
78%
Closely correlated
+0.50%
COF - XLF
78%
Closely correlated
+2.20%
AXP - XLF
76%
Closely correlated
-0.03%
C - XLF
75%
Closely correlated
+0.97%
More