Comparing VFH and XLF is timely amid ongoing sector rotation in financials, driven by shifting interest rate expectations and economic resilience. These passive ETFs target U.S. financials but diverge structurally: VFH provides comprehensive market-cap exposure, while XLF focuses on S&P 500 heavyweights. Investors seeking diversified sector tilts versus concentrated large-cap plays within the cyclical financial space find direct alternatives here, especially as capital flows favor low-cost, liquid vehicles in uncertain macro environments.
The Vanguard Financials ETF (VFH) passively tracks the MSCI US Investable Market Index (IMI)/Financials 25/50, capturing large-, mid-, and small-cap U.S. companies in the financials sector as defined by GICS (Global Industry Classification Standard). It holds approximately 415 stocks, offering broad diversification across banks, insurers, and payment processors. Top holdings include JPMorgan Chase (9.4%), BRK.B (8.3%), MA (5.3%), V (4.1%), and BAC (4.0%). Sector allocations emphasize diversified banks (23%), transaction & payment processing (14.6%), investment banking (10.2%), and property & casualty insurance (8.5%). The expense ratio is 0.09%, with $13.4B AUM supporting solid liquidity (average daily volume ~650K shares). As a non-diversified index ETF, it employs full replication or sampling, rebalancing quarterly with low turnover (~5%), ideal for long-term financial sector exposure without leverage.
The State Street Financial Select Sector SPDR Fund (XLF) tracks the S&P Financial Select Sector Index, comprising large-cap financial firms from the S&P 500. It maintains ~78 holdings, prioritizing mega-caps for precise sector benchmarking. Top holdings feature BRK.B (11.9%), JPM (11.1%), V (7.3%), MA (5.5%), and BAC (4.8%). Allocation is nearly 98% financial services, with minor technology and industrials exposure. Expense ratio stands at 0.08%, backed by $50B+ AUM and exceptional liquidity (daily volume >30M shares). This passive, market-cap-weighted ETF rebalances quarterly with the S&P methodology, delivering efficient large-cap financial exposure suited for tactical trades and core holdings.
The U.S. financial sector faces a dynamic environment with stabilizing interest rates, potential Fed cuts to ~3-4% by late 2026, and a steeper yield curve boosting net interest margins (NIMs, the spread between interest income and funding costs). Banks exhibit resilience with strong capital positions and steady deposit growth, though modest NII expansion tempers optimism amid slowing loan growth and nonbank competition. Insurers benefit from investment income, while payments firms navigate regulatory scrutiny on stablecoins and fintech disruption. Capital flows into financial ETFs remain robust amid sector rotation, but risks include persistent inflation, commercial real estate stress, and geopolitical tensions. Deregulation tailwinds could spur M&A (mergers and acquisitions), enhancing consolidation in banking.
In recent months, both ETFs have navigated financial sector headwinds from rate uncertainty, posting comparable YTD declines around -5%, with VFH slightly outperforming in shorter periods (e.g., 1-month +3.8% vs. XLF +3.4%). Over multi-year cycles, annualized returns hover near 8-12%, with VFH edging in diversified rallies and XLF leading large-cap driven upswings tied to bank earnings and NII recovery. VFH's mid/small-cap exposure introduces modest volatility premium (3.2% vs. XLF's 3.2% monthly), amplifying upside in rotations but tempering drawdowns via broader base. Positioning favors XLF for liquidity amid macro shifts like rate cuts benefiting mega-banks, while VFH suits investors eyeing comprehensive exposure to regional lenders and insurers amid sector momentum.
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 (market cap), technical indicators, price patterns, and performance metrics. The screener identifies trade ideas, trending stocks, breakout candidates, and market opportunities more efficiently than manual screening, empowering data-driven decisions in dynamic environments like financial sector rotations. Explore it today to uncover hidden gems aligned with your strategy.
Tickeron’s AI currently favors XLF with moderate conviction (60-70% probability edge), owing to its superior liquidity, rock-bottom costs, and concentrated large-cap positioning amid stabilizing rates and bank earnings momentum. While VFH's diversification shines in broader cycles, XLF's scale and mega-cap focus align better with prevailing sector tailwinds and capital flows.
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| VFH | XLF | VFH / XLF | |
| Gain YTD | -1.517 | -1.687 | 90% |
| Net Assets | 13.5B | 51.5B | 26% |
| Total Expense Ratio | 0.09 | 0.08 | 113% |
| Turnover | 5.00 | 6.00 | 83% |
| Yield | 1.54 | 1.54 | 100% |
| Fund Existence | 22 years | 28 years | - |
| VFH | XLF | |
|---|---|---|
| RSI ODDS (%) | 3 days ago 90% | 3 days ago 83% |
| Stochastic ODDS (%) | 3 days ago 79% | 3 days ago 83% |
| Momentum ODDS (%) | 3 days ago 82% | 3 days ago 83% |
| MACD ODDS (%) | 3 days ago 83% | 3 days ago 82% |
| TrendWeek ODDS (%) | 3 days ago 84% | 3 days ago 84% |
| TrendMonth ODDS (%) | 3 days ago 81% | 3 days ago 81% |
| Advances ODDS (%) | 5 days ago 82% | 5 days ago 84% |
| Declines ODDS (%) | 3 days ago 81% | 3 days ago 82% |
| BollingerBands ODDS (%) | 3 days ago 79% | 3 days ago 82% |
| Aroon ODDS (%) | 3 days ago 84% | 3 days ago 82% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| RSEE | 39.81 | 0.79 | +2.03% |
| Rareview Systematic Equity ETF | |||
| PTMC | 41.15 | 0.46 | +1.12% |
| Pacer Trendpilot™ US Mid Cap ETF | |||
| EUAD | 42.26 | 0.35 | +0.84% |
| Select STOXX Europe Aerospace & Defense ETF | |||
| JIVE | 93.93 | 0.30 | +0.32% |
| JPMorgan International Value ETF | |||
| XLBI | 24.26 | -0.08 | -0.34% |
| State Street®MatrlSelSectSPDR®PreIncETF | |||
A.I.dvisor indicates that over the last year, VFH has been closely correlated with COF. These tickers have moved in lockstep 80% 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.
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.