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Invesco S&P 500 ex-Rate Sensitive Low Volatility ETF (XRLV) Sharpe Ratio

ETF · Currency in USD · Last updated Jun 5, 2026

The Invesco S&P 500® ex-Rate Sensitive Low Volatility ETF seeks to track the S&P 500® Low Volatility Rate Response Index, investing at least 90% of its assets in the 100 least volatile S&P 500® stocks that are less sensitive to interest rate changes, aiming to provide exposure to low volatility equities with reduced interest rate risk.

Sharpe ratio is not yet available for XRLV. This metric requires at least 12 months of historical daily returns to calculate. Check back once this data is available.

How it compares to other similar ETFs

The table compares Invesco S&P 500 ex-Rate Sensitive Low Volatility ETF's Sharpe Ratio with other ETFs in the S&P 500 category across multiple time periods, showing how XRLV's risk-adjusted performance compares to similar funds.

Data shows 1-, 5-, and 10-year periods, plus each fund's all-time average, as of Jun 5, 2026.

SymbolName1Y Sharpe Ratio5Y Sharpe Ratio10Y Sharpe RatioAll Time Sharpe Ratio
PMMYPGIM S&P 500 Max Buffer ETF - May5.38
CPSPCalamos S&P 500 Structured Alt Protection ETF - April5.19
HIBLDirexion Daily S&P 500 High Beta Bull 3X Shares4.23
PMFBPGIM S&P 500 Max Buffer ETF - February3.86
PMJNPGIM S&P 500 Max Buffer ETF - June3.82
PMJAPGIM S&P 500 Max Buffer ETF - January3.80
CPSMCalamos S&P 500 Structured Alt Protection ETF - May3.76
CPSUCalamos S&P 500 Structured Alt Protection ETF - June3.74
CPSTCalamos S&P 500 Structured Alt Protection ETF - September3.58
MAYMFT Vest U.S. Equity Max Buffer ETF - May3.53
XRLVInvesco S&P 500 ex-Rate Sensitive Low Volatility ETF—

S&P 500 Index

How to choose period

Historical Sharpe Ratio

The chart shows XRLV's rolling Sharpe ratio over time compared to your chosen benchmark. Rising trends indicate improving returns relative to total volatility, while declining trends may signal deteriorating risk-adjusted performance or increased volatility. Use multiple timeframes to distinguish short-term fluctuations from long-term patterns.

Identify market cycles by observing when XRLV consistently outperforms (line above benchmark), underperforms (below benchmark), or aligns with the benchmark.

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