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Gabelli High Income ETF (GBHI) Sharpe Ratio

ETF · Currency in USD · Last updated Jun 6, 2026

The Gabelli High Income ETF (GBHI) is an actively managed fund that seeks high total return through current income and, secondarily, capital appreciation. It invests at least 80% of its net assets in income-producing securities, primarily high-yield corporate bonds and other debt instruments rated below investment grade, using Gabelli's proprietary fundamental analysis to target issuers with strong fundamentals, improving balance sheets, and identifiable catalysts. Gabelli is waiving the fund's advisory fee through November 2026, temporarily reducing the net expense ratio.

Sharpe ratio is not yet available for GBHI. 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 Gabelli High Income ETF's Sharpe Ratio with other ETFs in the High Yield Bonds category across multiple time periods, showing how GBHI'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 6, 2026.

SymbolName1Y Sharpe Ratio5Y Sharpe Ratio10Y Sharpe RatioAll Time Sharpe Ratio
IBHEiShares iBonds 2025 Term High Yield & Income ETF3.89
FLRTPacific Global Senior Loan ETF3.68
BSJQInvesco BulletShares 2026 High Yield Corp Bond ETF3.45
XHYEBondBloxx US High Yield Energy Sector ETF3.18
HYZDWisdomTree Interest Rate Hedged High Yield Bond Fund2.49
LDRHiShares iBonds 1-5 Year High Yield and Income Ladder ETF2.46
BRHYiShares High Yield Active ETF2.39
FSYDFidelity Sustainable High Yield ETF2.36
PHYDPutnam ESG High Yield ETF -2.32
BSJRInvesco BulletShares 2027 High Yield Corporate Bond ETF2.31
GBHIGabelli High Income ETF—

S&P 500 Index

How to choose period

Historical Sharpe Ratio

The chart shows GBHI'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 GBHI consistently outperforms (line above benchmark), underperforms (below benchmark), or aligns with the benchmark.

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