SSXU vs. BAM
SSXU (Day Hagan/Ned Davis Research Smart Sector International ETF) is Foreign Large Cap Equities fund actively managed by Day Hagan, while BAM (Brookfield Asset Management Ltd.) is a stock. Over the past 3 years, SSXU returned 11.59%/yr vs 19.64%/yr for BAM. Their 0.59 correlation means they have sometimes moved together and sometimes differently.
Performance
SSXU vs. BAM - Performance Comparison
Loading charts...
Returns By Period
In the year-to-date period, SSXU achieves a 3.85% return, which is significantly higher than BAM's -1.22% return.
SSXU
- 1D
- 0.49%
- 1M
- 0.62%
- 6M
- -0.99%
- YTD
- 3.85%
- 1Y
- 16.44%
- 3Y*
- 11.59%
- 5Y*
- —
- 10Y*
- —
- ALL TIME*
- 11.39%
BAM
- 1D
- 4.73%
- 1M
- 10.51%
- 6M
- 1.95%
- YTD
- -1.22%
- 1Y
- -12.11%
- 3Y*
- 19.64%
- 5Y*
- —
- 10Y*
- —
- ALL TIME*
- 17.30%
Liquidity Comparison
| Position | Avg. Volume Value (2W) | Avg. Volume Value (1M) | Avg. Volume Value (3M) |
|---|---|---|---|
| $103.43M | $103.96M | $133.67M | |
| $118.06K | $72.09K | $330.31K |
SSXU vs. BAM - Yearly Performance Comparison
| 2026 (YTD) | 2025 | 2024 | 2023 | 2022 | |
|---|---|---|---|---|---|
SSXU Day Hagan/Ned Davis Research Smart Sector International ETF | 3.85% | 27.09% | 5.28% | 9.56% | -1.29% |
BAM Brookfield Asset Management Ltd. | -1.22% | -0.24% | 39.70% | 45.61% | -10.80% |
Correlation
The correlation between SSXU and BAM is 0.54, which is moderate. They have sometimes moved together and sometimes differently, sharing some price drivers without tracking each other closely.
| Correlation | |
|---|---|
Correlation (1Y) Focuses on recent behavior, but can change the most. | 0.54 |
Correlation (3Y) Balances recent behavior with more history. | 0.59 |
Correlation (All Time) Calculated using the full available price history since Dec 12, 2022 | 0.59 |
The correlation between SSXU and BAM has been stable across timeframes, ranging from 0.54 to 0.59 - a consistent structural relationship.
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
SSXU vs. BAM — Risk / Return Rank
SSXU
BAM
SSXU vs. BAM - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for Day Hagan/Ned Davis Research Smart Sector International ETF (SSXU) and Brookfield Asset Management Ltd. (BAM). 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.
| SSXU | BAM | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | +1.54 | ||
| Sortino ratioReturn per unit of downside risk | +2.02 | ||
| Omega ratioGain probability vs. loss probability | 1.21 | 0.96 | +0.25 |
| Calmar ratioReturn relative to maximum drawdown | 1.54 | -0.40 | +1.95 |
| Martin ratioReturn relative to average drawdown | 4.54 | -0.66 | +5.19 |
Loading charts...
Drawdowns
SSXU vs. BAM - Drawdown Comparison
The maximum SSXU drawdown since its inception was -13.91%, smaller than the maximum BAM drawdown of -30.37%. Use the drawdown chart below to compare losses from any high point for SSXU and BAM.
Loading charts...
Drawdown Indicators
| SSXU | BAM | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -13.91% | -30.37% | +16.46% |
Max Drawdown (1Y)Largest decline over 1 year | -10.71% | -30.08% | +19.37% |
Max Drawdown (3Y)Largest decline over 3 years | -13.91% | -30.37% | +16.46% |
Current DrawdownCurrent decline from peak | -4.63% | -16.81% | +12.18% |
Average DrawdownAverage peak-to-trough decline | -3.30% | -9.38% | +6.08% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 3.63% | 18.51% | -14.88% |
Volatility
SSXU vs. BAM - Volatility Comparison
The current volatility for Day Hagan/Ned Davis Research Smart Sector International ETF (SSXU) is 5.49%, while Brookfield Asset Management Ltd. (BAM) has a volatility of 8.99%. This indicates that SSXU experiences smaller price fluctuations and is considered to be less risky than BAM based on this measure. The chart below showcases a comparison of their rolling one-month volatility.
Loading charts...
Volatility by Period
| SSXU | BAM | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 5.49% | 8.99% | -3.50% |
Volatility (6M)Calculated over the trailing 6-month period | 12.60% | 23.30% | -10.70% |
Volatility (1Y)Calculated over the trailing 1-year period | 14.61% | 30.12% | -15.51% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 14.47% | 30.16% | -15.69% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 14.47% | 30.16% | -15.69% |
Dividends
SSXU vs. BAM - Dividend Comparison
SSXU's dividend yield for the trailing twelve months is around 2.56%, less than BAM's 3.71% yield.
| Position | TTM | 2025 | 2024 | 2023 | 2022 |
|---|---|---|---|---|---|
BAM Brookfield Asset Management Ltd. | 3.71% | 3.34% | 2.80% | 3.19% | 0.00% |
SSXU Day Hagan/Ned Davis Research Smart Sector International ETF | 2.56% | 2.66% | 2.74% | 2.07% | 0.65% |
Frequently Asked Questions
SSXU and BAM have a correlation of 0.54, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.
BAM has higher volatility (8.99%) compared to SSXU (5.49%). In terms of maximum drawdown, SSXU dropped -13.91% vs BAM's -30.37%.
SSXU currently has the higher Sharpe Ratio (1.13 vs -0.40), 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 SSXU and BAM
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