ISD vs. QQQI
ISD (PGIM High Yield Bond Fund) and QQQI (NEOS Nasdaq-100 High Income ETF) are both funds - ISD is a High Yield Bonds fund managed by PGIM, while QQQI is a Nasdaq-100 fund actively managed by Neos. Over the past year, ISD returned -4.69% vs 17.94% for QQQI. Their 0.41 correlation means their historical movements had little consistent relationship. ISD charges 0.02%/yr vs 0.68%/yr for QQQI.
Performance
ISD vs. QQQI - Performance Comparison
Loading charts...
Returns By Period
In the year-to-date period, ISD achieves a -9.89% return, which is significantly lower than QQQI's 6.90% return.
ISD
- 1D
- -0.08%
- 1M
- -3.37%
- 6M
- -10.69%
- YTD
- -9.89%
- 1Y
- -4.69%
- 3Y*
- 10.30%
- 5Y*
- 4.23%
- 10Y*
- 6.60%
- ALL TIME*
- 5.58%
QQQI
- 1D
- 0.68%
- 1M
- -3.08%
- 6M
- 5.69%
- YTD
- 6.90%
- 1Y
- 17.94%
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
- ALL TIME*
- 18.07%
Liquidity Comparison
| Position | Avg. Volume Value (2W) | Avg. Volume Value (1M) | Avg. Volume Value (3M) |
|---|---|---|---|
| $1.80M | $1.56M | $1.41M | |
| $341.25M | $334.46M | $358.36M |
ISD vs. QQQI - Yearly Performance Comparison
| 2026 (YTD) | 2025 | 2024 | |
|---|---|---|---|
ISD PGIM High Yield Bond Fund | -9.89% | 15.63% | 17.75% |
QQQI NEOS Nasdaq-100 High Income ETF | 6.90% | 18.62% | 19.44% |
Correlation
The correlation between ISD and QQQI is 0.50, which is low. Their historical price movements had little consistent relationship.
| Correlation | |
|---|---|
Correlation (1Y) Focuses on recent behavior, but can change the most. | 0.50 |
Correlation (All Time) Calculated using the full available price history since Jan 30, 2024 | 0.41 |
Compare stocks, funds, or ETFs
Search for stocks, ETFs, and funds for a quick comparison or use the comparison tool for more options.
Return for Risk
ISD vs. QQQI — Risk / Return Rank
ISD
QQQI
ISD vs. QQQI - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for PGIM High Yield Bond Fund (ISD) and NEOS Nasdaq-100 High Income ETF (QQQI). Risk-adjusted metrics are performance indicators that assess an investment's returns in relation to its risk, enabling a more accurate comparison of different investment options.
Values are calculated on a 1-year rolling basis and updated daily. Risk-adjusted metrics are more stable over longer periods — use the period switch above to explore them.
| ISD | QQQI | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | -1.43 | ||
| Sortino ratioReturn per unit of downside risk | -1.94 | ||
| Omega ratioGain probability vs. loss probability | 0.93 | 1.18 | -0.26 |
| Calmar ratioReturn relative to maximum drawdown | -0.37 | 1.67 | -2.05 |
| Martin ratioReturn relative to average drawdown | -0.84 | 6.03 | -6.87 |
Loading charts...
Drawdowns
ISD vs. QQQI - Drawdown Comparison
The maximum ISD drawdown since its inception was -38.88%, which is greater than QQQI's maximum drawdown of -20.00%. Use the drawdown chart below to compare losses from any high point for ISD and QQQI.
Loading charts...
Drawdown Indicators
| ISD | QQQI | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -38.88% | -20.00% | -18.88% |
Max Drawdown (1Y)Largest decline over 1 year | -13.52% | -9.61% | -3.91% |
Max Drawdown (3Y)Largest decline over 3 years | -13.94% | — | — |
Max Drawdown (5Y)Largest decline over 5 years | -25.45% | — | — |
Max Drawdown (10Y)Largest decline over 10 years | -38.88% | — | — |
Current DrawdownCurrent decline from peak | -11.81% | -5.92% | -5.89% |
Average DrawdownAverage peak-to-trough decline | -5.65% | -2.27% | -3.38% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 5.96% | 2.67% | +3.29% |
Volatility
ISD vs. QQQI - Volatility Comparison
The current volatility for PGIM High Yield Bond Fund (ISD) is 3.08%, while NEOS Nasdaq-100 High Income ETF (QQQI) has a volatility of 6.53%. This indicates that ISD experiences smaller price fluctuations and is considered to be less risky than QQQI based on this measure. The chart below showcases a comparison of their rolling one-month volatility.
Loading charts...
Volatility by Period
| ISD | QQQI | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 3.08% | 6.53% | -3.45% |
Volatility (6M)Calculated over the trailing 6-month period | 9.94% | 13.66% | -3.72% |
Volatility (1Y)Calculated over the trailing 1-year period | 11.41% | 16.35% | -4.94% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 13.36% | 17.75% | -4.39% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 14.59% | 17.75% | -3.16% |
ISD vs. QQQI - Expense Ratio Comparison
ISD has a 0.02% expense ratio, which is lower than QQQI's 0.68% expense ratio.
Dividends
ISD vs. QQQI - Dividend Comparison
ISD's dividend yield for the trailing twelve months is around 10.13%, less than QQQI's 14.38% yield.
| Position | TTM | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
ISD PGIM High Yield Bond Fund | 10.13% | 8.71% | 9.21% | 10.23% | 10.61% | 7.85% | 8.40% | 7.86% | 7.89% | 8.46% | 8.28% | 9.64% |
QQQI NEOS Nasdaq-100 High Income ETF | 14.38% | 13.82% | 12.85% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Frequently Asked Questions
ISD and QQQI have a correlation of 0.50, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.
QQQI has higher volatility (6.53%) compared to ISD (3.08%). In terms of maximum drawdown, ISD dropped -38.88% vs QQQI's -20.00%.
QQQI currently has the higher Sharpe Ratio (0.98 vs -0.44), meaning it's delivered slightly more return per unit of risk over the trailing 12 months. However, this ranking shifts over time - use the Risk/Return Score above for a more comprehensive view that combines Sharpe, Sortino, and other measures used by quantitative funds.
Find the right allocation for ISD and QQQI
Add both to a portfolio and optimize allocations for your target — whether that's maximizing returns, minimizing drawdowns, or balancing risk across holdings.
Open Portfolio Optimizer