USSE vs. SPXM
USSE (Segall Bryant & Hamill Select Equity ETF) and SPXM (Azoria 500 Meritocracy ETF) are both Large Cap Blend Equities funds. Both are actively managed. Over the past year, USSE returned 24.49% vs 8.67% for SPXM. At a 0.44 correlation, their price movements are largely independent. USSE charges 0.65%/yr vs 0.47%/yr for SPXM.
Performance
USSE vs. SPXM - Performance Comparison
Loading charts...
Returns By Period
USSE
- 1D
- -1.08%
- 1M
- -1.18%
- 6M
- 15.24%
- YTD
- 17.26%
- 1Y
- 24.49%
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
SPXM
- 1D
- 0.00%
- 1M
- 0.00%
- 6M
- 0.00%
- YTD
- 0.00%
- 1Y
- 8.67%
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
USSE vs. SPXM - Yearly Performance Comparison
| 2026 (YTD) | 2025 | |
|---|---|---|
USSE Segall Bryant & Hamill Select Equity ETF | 17.26% | 4.67% |
SPXM Azoria 500 Meritocracy ETF | 0.00% | 9.27% |
Correlation
The correlation between USSE and SPXM is 0.45, which is low. Their price movements are largely independent, making them effective diversification partners.
| Correlation | |
|---|---|
Correlation (1Y) Calculated over the trailing 1-year period | 0.45 |
Correlation (All Time) Calculated using the full available price history since Jul 8, 2025 | 0.44 |
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
USSE vs. SPXM — Risk / Return Rank
USSE
SPXM
USSE vs. SPXM - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for Segall Bryant & Hamill Select Equity ETF (USSE) and Azoria 500 Meritocracy ETF (SPXM). 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.
| USSE | SPXM | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | +0.13 | ||
| Sortino ratioReturn per unit of downside risk | +0.16 | ||
| Omega ratioGain probability vs. loss probability | 1.27 | 1.38 | -0.11 |
| Calmar ratioReturn relative to maximum drawdown | 2.70 | 2.10 | +0.60 |
| Martin ratioReturn relative to average drawdown | 9.10 | 9.84 | -0.74 |
Loading charts...
Drawdowns
USSE vs. SPXM - Drawdown Comparison
The maximum USSE drawdown since its inception was -22.36%, which is greater than SPXM's maximum drawdown of -5.08%. Use the drawdown chart below to compare losses from any high point for USSE and SPXM.
Loading charts...
Drawdown Indicators
| USSE | SPXM | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -22.36% | -5.08% | -17.28% |
Max Drawdown (1Y)Largest decline over 1 year | -9.11% | -5.08% | -4.03% |
Current DrawdownCurrent decline from peak | -3.50% | -0.75% | -2.75% |
Average DrawdownAverage peak-to-trough decline | -3.57% | -0.78% | -2.79% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 2.70% | — | — |
Volatility
USSE vs. SPXM - Volatility Comparison
Segall Bryant & Hamill Select Equity ETF (USSE) has a higher volatility of 6.66% compared to Azoria 500 Meritocracy ETF (SPXM) at 0.00%. This indicates that USSE's price experiences larger fluctuations and is considered to be riskier than SPXM based on this measure. The chart below showcases a comparison of their rolling one-month volatility.
Loading charts...
Volatility by Period
| USSE | SPXM | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 6.66% | 0.00% | +6.66% |
Volatility (6M)Calculated over the trailing 6-month period | 12.92% | 3.99% | +8.93% |
Volatility (1Y)Calculated over the trailing 1-year period | 16.18% | 7.68% | +8.50% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 16.60% | 7.64% | +8.96% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 16.60% | 7.64% | +8.96% |
USSE vs. SPXM - Expense Ratio Comparison
USSE has a 0.65% expense ratio, which is higher than SPXM's 0.47% expense ratio.
Dividends
USSE vs. SPXM - Dividend Comparison
USSE has not paid dividends to shareholders, while SPXM's dividend yield for the trailing twelve months is around 0.24%.
| Position | TTM | 2025 | 2024 | 2023 |
|---|---|---|---|---|
SPXM Azoria 500 Meritocracy ETF | 0.24% | 0.24% | 0.00% | 0.00% |
USSE Segall Bryant & Hamill Select Equity ETF | 0.00% | 0.00% | 0.11% | 0.13% |
Frequently Asked Questions
USSE and SPXM have a correlation of 0.45, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.
USSE has higher volatility (6.66%) compared to SPXM (0.00%). In terms of maximum drawdown, USSE dropped -22.36% vs SPXM's -5.08%.
On 1-year performance, USSE leads with 24.49% vs 8.67% for SPXM. On fees, SPXM is cheaper at 0.47% per year. On volatility, SPXM has been the lower-risk option at 0.00%. The better choice depends on whether you care most about return, fees, risk, or income.
Over the 1-year period, USSE has performed better with a 24.49% return vs 8.67%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.
SPXM is cheaper with a 0.47% expense ratio, compared with 0.65% for USSE.
SPXM has the higher dividend yield at 0.24%, compared with 0.00% for USSE.
They also come from different issuers: Segall Bryant & Hamill and Azoria. Their fees differ too: 0.65% for USSE and 0.47% for SPXM.
USSE currently has the higher Sharpe Ratio (1.52 vs 1.39), 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 USSE and SPXM
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