Generated August 15, 2026.
Figures quoted in this analysis are from its generation date and may lag the live snapshot table above, which always shows the latest data.
Overview
CHPY and SOXY are both options-overlay ETFs holding U.S. semiconductor equities and writing covered calls to generate income. The fundamental difference is income frequency and scale: CHPY distributes weekly and targets a 39.75% yield, while SOXY distributes monthly and targets 11.34%. CHPY has $1.08B in assets; SOXY has $67.0M. Both charge similar expense ratios around 1.05% and carry elevated beta (1.86–1.95), making them high-volatility income plays on semiconductor stocks.
How they differ
CHPY's weekly distribution cadence and much higher 39.75% distribution rate are the defining structural differences. That yield is achieved partly through options premium capture and partly through a more aggressive overlay strategy—CHPY also sells options on semiconductor ETFs themselves, not just on the individual holdings. SOXY opts for monthly distributions tied to a more conservative 11.34% yield target.
The second major difference is asset base. CHPY's $1.08B in AUM gives it significantly deeper liquidity and operational stability; SOXY's $67.0M is a tenth that size, raising questions about fund viability and trading friction. Both charge expense ratios near 1.06%, so fee drag is comparable.
Finally, both funds carry elevated beta (CHPY 1.86, SOXY 1.95), but CHPY's inception in April 2025 is earlier than SOXY's December 2024 debut. Neither has a long operating history, so track record during semiconductor volatility spikes is untested.
Who each is best for
- CHPY: Fits investors comfortable with weekly income resets and seeking maximum near-term cash flow from a concentrated semiconductor position, even if that comes with high volatility and elevated distribution sustainability risk.
- SOXY: Fits investors who want semiconductor options-income exposure but prefer monthly cash flow and a lower headline yield, trading income frequency for a less aggressive distribution policy.
Key risks to know
- Unsustainable distribution yield at CHPY's 39.75% rate: A weekly distribution at nearly 40% annualized is likely unsustainable from underlying securities appreciation alone and suggests heavy reliance on return-of-capital distributions and principal drawdown to fund payouts. That structure erodes NAV over time unless semiconductor prices appreciate materially.
- Options assignment and rollover risk: Both funds write covered calls on their holdings. Sharp rallies in semiconductor stocks can trigger call assignment, forcing the fund to sell shares at predetermined strike prices and miss upside, while falling prices leave the fund with depressed assets and shrinking option premiums to fund distributions.
- Concentrated sector and beta risk: Both hold only semiconductor equities with beta well above 1.8, amplifying gains and losses during chip sector downturns. The semiconductor industry is cyclical and highly correlated with chip-equipment capex cycles and geopolitical risk.
- Liquidity and AUM risk for SOXY: At $67.0M, SOXY is a micro-cap fund with minimal trading liquidity and heightened closure or restructuring risk if assets don't grow. Wider bid-ask spreads and tracking error are likely.
- Early performance lack of validation: CHPY launched in April 2025 and SOXY in December 2024. Neither has operated through a significant market correction or semiconductor downturn, so their ability to sustain distributions during stress is unproven.
Bottom line
If you want maximum current yield from semiconductors and can tolerate weekly distributions and principal erosion risk, CHPY's larger asset base and 39.75% payout offer more liquidity. If you prefer a lower, more defensible yield and monthly income rhythm, SOXY aligns with a less aggressive overlay strategy—though its smaller size introduces concentration and liquidity concerns. Both are high-volatility, yield-focused plays on a single sector; they work best for investors who actively monitor semiconductor fundamentals and can stomach sharp drawdowns. Past performance does not predict future results.
AI-generated analysis for educational purposes only. Verify important details independently; past performance does not guarantee future results.