MSTQ vs. JANP
MSTQ (LHA Market State Tactical Q ETF) and JANP (PGIM US Large-Cap Buffer 12 ETF - January) are both Options Trading funds. Both are actively managed. Over the past year, MSTQ returned 26.47% vs 16.14% for JANP. Their correlation of 0.82 suggests significant overlap in exposure. MSTQ charges 1.59%/yr vs 0.50%/yr for JANP.
Performance
MSTQ vs. JANP - Performance Comparison
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Returns By Period
In the year-to-date period, MSTQ achieves a 12.49% return, which is significantly higher than JANP's 5.34% return.
MSTQ
- 1D
- -2.91%
- 1M
- -0.78%
- YTD
- 12.49%
- 6M
- 10.94%
- 1Y
- 26.47%
- 3Y*
- 21.44%
- 5Y*
- —
- 10Y*
- —
JANP
- 1D
- -0.60%
- 1M
- 0.38%
- YTD
- 5.34%
- 6M
- 5.50%
- 1Y
- 16.14%
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
MSTQ vs. JANP - Yearly Performance Comparison
| 2026 (YTD) | 2025 | 2024 | |
|---|---|---|---|
MSTQ LHA Market State Tactical Q ETF | 12.49% | 20.57% | 19.58% |
JANP PGIM US Large-Cap Buffer 12 ETF - January | 5.34% | 13.33% | 15.74% |
Correlation
The correlation between MSTQ and JANP is 0.85, indicating a strong positive relationship between their price movements. Combining them offers limited diversification - they tend to fall together during downturns.
| Correlation | |
|---|---|
Correlation (1Y) Calculated over the trailing 1-year period | 0.85 |
Correlation (All Time) Calculated using the full available price history since Jan 2, 2024 | 0.82 |
The correlation between MSTQ and JANP has been stable across timeframes, ranging from 0.82 to 0.85 - a consistent structural relationship.
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Return for Risk
MSTQ vs. JANP — Risk / Return Rank
MSTQ
JANP
MSTQ vs. JANP - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for LHA Market State Tactical Q ETF (MSTQ) and PGIM US Large-Cap Buffer 12 ETF - January (JANP). 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.
| MSTQ | JANP | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | -0.67 | ||
| Sortino ratioReturn per unit of downside risk | -1.11 | ||
| Omega ratioGain probability vs. loss probability | 1.30 | 1.48 | -0.18 |
| Calmar ratioReturn relative to maximum drawdown | 2.15 | 3.05 | -0.90 |
| Martin ratioReturn relative to average drawdown | 6.57 | 15.67 | -9.09 |
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Drawdowns
MSTQ vs. JANP - Drawdown Comparison
The maximum MSTQ drawdown since its inception was -31.05%, which is greater than JANP's maximum drawdown of -12.18%. Use the drawdown chart below to compare losses from any high point for MSTQ and JANP.
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Drawdown Indicators
| MSTQ | JANP | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -31.05% | -12.18% | -18.87% |
Max Drawdown (1Y)Largest decline over 1 year | -12.39% | -5.32% | -7.07% |
Max Drawdown (3Y)Largest decline over 3 years | -15.22% | — | — |
Current DrawdownCurrent decline from peak | -4.38% | -0.90% | -3.48% |
Average DrawdownAverage peak-to-trough decline | -8.55% | -0.89% | -7.66% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 4.04% | 1.03% | +3.01% |
Volatility
MSTQ vs. JANP - Volatility Comparison
LHA Market State Tactical Q ETF (MSTQ) has a higher volatility of 7.78% compared to PGIM US Large-Cap Buffer 12 ETF - January (JANP) at 2.33%. This indicates that MSTQ's price experiences larger fluctuations and is considered to be riskier than JANP based on this measure. The chart below showcases a comparison of their rolling one-month volatility.
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Volatility by Period
| MSTQ | JANP | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 7.78% | 2.33% | +5.45% |
Volatility (6M)Calculated over the trailing 6-month period | 12.35% | 5.86% | +6.49% |
Volatility (1Y)Calculated over the trailing 1-year period | 15.87% | 6.94% | +8.93% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 19.06% | 9.07% | +9.99% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 19.06% | 9.07% | +9.99% |
MSTQ vs. JANP - Expense Ratio Comparison
MSTQ has a 1.59% expense ratio, which is higher than JANP's 0.50% expense ratio.
Dividends
MSTQ vs. JANP - Dividend Comparison
MSTQ's dividend yield for the trailing twelve months is around 12.42%, while JANP has not paid dividends to shareholders.
| Position | TTM | 2025 | 2024 | 2023 |
|---|---|---|---|---|
JANP PGIM US Large-Cap Buffer 12 ETF - January | 0.00% | 0.00% | 0.00% | 0.00% |
MSTQ LHA Market State Tactical Q ETF | 12.42% | 13.97% | 3.72% | 0.77% |
Frequently Asked Questions
MSTQ and JANP have a correlation of 0.85, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.
MSTQ has higher volatility (7.78%) compared to JANP (2.33%). In terms of maximum drawdown, MSTQ dropped -31.05% vs JANP's -12.18%.
On 1-year performance, MSTQ leads with 26.47% vs 16.14% for JANP. On fees, JANP is cheaper at 0.50% per year. On volatility, JANP has been the lower-risk option at 2.33%. The better choice depends on whether you care most about return, fees, risk, or income.
Over the 1-year period, MSTQ has performed better with a 26.47% return vs 16.14%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.
JANP is cheaper with a 0.50% expense ratio, compared with 1.59% for MSTQ.
MSTQ has the higher dividend yield at 12.42%, compared with 0.00% for JANP.
They also come from different issuers: Little Harbor Advisors and PGIM. Their fees differ too: 1.59% for MSTQ and 0.50% for JANP.
JANP currently has the higher Sharpe Ratio (2.34 vs 1.68), 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.
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