DYMIX vs. CLSE
DYMIX (Dynamic Alpha Macro Fund Institutional) and CLSE (Convergence Long/Short Equity ETF) are both funds - DYMIX is a Macro Trading fund actively managed by Dynamic Alpha Funds, while CLSE is a Long-Short fund actively managed by Convergence Investment Partners. Both are actively managed. Over the past year, DYMIX returned 29.27% vs 50.91% for CLSE. At a 0.16 correlation, their price movements are largely independent. DYMIX charges 1.98%/yr vs 1.56%/yr for CLSE.
Performance
DYMIX vs. CLSE - Performance Comparison
Loading charts...
Returns By Period
In the year-to-date period, DYMIX achieves a 8.05% return, which is significantly lower than CLSE's 25.76% return.
DYMIX
- 1D
- 0.48%
- 1M
- 2.07%
- YTD
- 8.05%
- 6M
- 10.12%
- 1Y
- 29.27%
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
CLSE
- 1D
- 0.35%
- 1M
- 9.28%
- YTD
- 25.76%
- 6M
- 28.57%
- 1Y
- 50.91%
- 3Y*
- 32.39%
- 5Y*
- —
- 10Y*
- —
DYMIX vs. CLSE - Yearly Performance Comparison
| 2026 (YTD) | 2025 | 2024 | 2023 | |
|---|---|---|---|---|
DYMIX Dynamic Alpha Macro Fund Institutional | 8.05% | 25.51% | 18.38% | 11.33% |
CLSE Convergence Long/Short Equity ETF | 25.76% | 20.44% | 35.54% | 3.99% |
Correlation
The correlation between DYMIX and CLSE is 0.10, meaning there is essentially no relationship between their price movements. Each responds to its own set of market drivers, making them strong candidates for combining in a diversified portfolio.
| Correlation | |
|---|---|
Correlation (1Y) Calculated over the trailing 1-year period | 0.10 |
Correlation (All Time) Calculated using the full available price history since Oct 18, 2023 | 0.16 |
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
DYMIX vs. CLSE — Risk / Return Rank
DYMIX
CLSE
DYMIX vs. CLSE - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for Dynamic Alpha Macro Fund Institutional (DYMIX) and Convergence Long/Short Equity ETF (CLSE). 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.
| DYMIX | CLSE | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | -1.90 | ||
| Sortino ratioReturn per unit of downside risk | -2.57 | ||
| Omega ratioGain probability vs. loss probability | 1.35 | 1.67 | -0.33 |
| Calmar ratioReturn relative to maximum drawdown | 2.30 | 10.55 | -8.25 |
| Martin ratioReturn relative to average drawdown | 5.33 | 39.58 | -34.25 |
Data is calculated on a 1-year rolling basis and updated daily. The trend shows the change in the indicator over the past month. | |||
Loading charts...
Sharpe Ratios by Period
| DYMIX | CLSE | Difference | |
|---|---|---|---|
Sharpe Ratio (1Y)Calculated over the trailing 1-year period | 1.95 | 3.84 | -1.90 |
Sharpe Ratio (All Time)Calculated using the full available price history | 1.73 | 1.59 | +0.14 |
Drawdowns
DYMIX vs. CLSE - Drawdown Comparison
The maximum DYMIX drawdown since its inception was -12.95%, smaller than the maximum CLSE drawdown of -16.45%. Use the drawdown chart below to compare losses from any high point for DYMIX and CLSE.
Loading charts...
Drawdown Indicators
| DYMIX | CLSE | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -12.95% | -16.45% | +3.50% |
Max Drawdown (1Y)Largest decline over 1 year | -12.95% | -4.85% | -8.10% |
Max Drawdown (3Y)Largest decline over 3 years | — | -16.45% | — |
Current DrawdownCurrent decline from peak | -8.95% | 0.00% | -8.95% |
Average DrawdownAverage peak-to-trough decline | -3.76% | -3.59% | -0.17% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 5.59% | 1.29% | +4.30% |
Volatility
DYMIX vs. CLSE - Volatility Comparison
The current volatility for Dynamic Alpha Macro Fund Institutional (DYMIX) is 2.82%, while Convergence Long/Short Equity ETF (CLSE) has a volatility of 4.31%. This indicates that DYMIX experiences smaller price fluctuations and is considered to be less risky than CLSE based on this measure. The chart below showcases a comparison of their rolling one-month volatility.
Loading charts...
Volatility by Period
| DYMIX | CLSE | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 2.82% | 4.31% | -1.49% |
Volatility (6M)Calculated over the trailing 6-month period | 11.28% | 10.21% | +1.07% |
Volatility (1Y)Calculated over the trailing 1-year period | 15.32% | 13.32% | +2.00% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 14.43% | 13.88% | +0.55% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 14.43% | 13.88% | +0.55% |
DYMIX vs. CLSE - Expense Ratio Comparison
DYMIX has a 1.98% expense ratio, which is higher than CLSE's 1.56% expense ratio.
Dividends
DYMIX vs. CLSE - Dividend Comparison
DYMIX's dividend yield for the trailing twelve months is around 6.31%, more than CLSE's 0.76% yield.
| Position | TTM | 2025 | 2024 | 2023 | 2022 |
|---|---|---|---|---|---|
CLSE Convergence Long/Short Equity ETF | 0.76% | 0.95% | 0.93% | 1.21% | 0.85% |
DYMIX Dynamic Alpha Macro Fund Institutional | 6.31% | 6.82% | 7.12% | 0.42% | 0.00% |
Frequently Asked Questions
DYMIX and CLSE have a correlation of 0.10, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.
CLSE has higher volatility (4.31%) compared to DYMIX (2.82%). In terms of maximum drawdown, DYMIX dropped -12.95% vs CLSE's -16.45%.
CLSE currently has the higher Sharpe Ratio (3.84 vs 1.95), 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 DYMIX and CLSE
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