Generated June 2026 from current fund data.
Overview
QYLD and SVOL are both monthly-paying derivative-overlay ETFs, but they harvest income from opposite corners of the volatility spectrum. QYLD sells covered calls against the Nasdaq 100—capping upside in exchange for call premiums—while SVOL sells short-dated VIX call spreads and put spreads, betting that implied volatility will revert toward historical norms. The funds differ sharply in underlying exposure, yield mechanics, and volatility sensitivity.
How they differ
The fundamental strategy divide comes first: QYLD maintains long equity exposure to the Nasdaq 100 while monetizing call options, whereas SVOL has no directional equity holdings and instead treats volatility itself as the tradable asset. That structural difference drives their second major divergence—yield sources and distribution stability. QYLD's 12.35% distribution rate comes from call premium captured monthly as the index rallies; SVOL's 21.35% yield comes from selling volatility derivatives and is paid monthly but may spike or crater as implied volatility moves. Finally, the risk profiles diverge on leverage and sensitivity: QYLD has a beta of 0.49, meaning it tracks the Nasdaq 100 at roughly half strength, while SVOL's beta of 0.8 suggests moderate equity-market sensitivity despite holding no equities—a signal that its short volatility bets are vulnerable when equities sell off sharply. QYLD's $8.22B AUM dwarfs SVOL's $550M, reflecting far greater investor adoption and tighter trading spreads.
Who each is best for
- QYLD: Fits investors who want monthly income from a recognizable tech-heavy index, accept capped upside in exchange for lower volatility drag, and prefer a simple covered-call structure backed by $8 billion in fund assets.
- SVOL: Fits investors comfortable with volatility-selling strategies who understand that distributions depend on VIX levels, accept higher fee drag (1.16% vs. 0.61%), and seek pure volatility-premium exposure uncorrelated to equity direction.
Key risks to know
- NAV erosion at elevated distribution yields. QYLD's 12.35% yield and especially SVOL's 21.35% rate suggest material return-of-capital treatment; both funds distribute far more than typical equity or bond returns, risking gradual per-share value decay if underlying markets don't generate sufficient price appreciation or the strategies underperform.
- Volatility regime collapse for SVOL. If the VIX contracts sharply or stays suppressed, SVOL's income stream—which depends on selling expensive volatility derivatives—may shrink dramatically. Conversely, a spike in implied volatility forces mark-to-market losses on short positions before income can offset them.
- Call-capped upside for QYLD. The covered-call overlay caps gains in the Nasdaq 100 at the strike level each month. In a strong bull market, QYLD will systematically underperform the unhedged index, ceding the upside that drives total returns.
- Small AUM and trading liquidity for SVOL. At $550M, SVOL has roughly 1.5% of QYLD's scale, which may widen bid-ask spreads and increase tracking error, especially during market stress when liquidity evaporates.
- Equity-market drawdown risk in SVOL despite no equity holdings. SVOL's 0.8 beta reveals that short volatility positions correlate positively with equity declines; the fund is likely to suffer NAV losses during the same market dislocations that boost VIX, compounding losses for buy-and-hold investors.
Bottom line
If you want a more predictable monthly paycheck backed by a $8+ billion, widely-held equity derivative strategy, QYLD offers that trade-off in exchange for capped upside on the Nasdaq 100. If you're betting that volatility will remain cheaper than its long-run average and can tolerate distributions that swing with implied-volatility levels, SVOL's higher yield and volatility-premium focus may appeal—but the fund's smaller size, higher fees, and equity-beta bleed during stress periods carry real costs. Past performance does not guarantee future results; both funds' high yields depend on continued favorable market conditions and option-pricing dynamics.
AI-generated analysis for educational purposes only. Verify important details independently; past performance does not guarantee future results.