AIFD vs. ACLO
AIFD (TCW Artificial Intelligence ETF) and ACLO (TCW AAA CLO ETF) are both exchange-traded funds - AIFD is a Technology Equities fund actively managed by TCW, while ACLO is a CLO fund actively managed by TCW. Both are actively managed. Over the past year, AIFD returned 98.66% vs 5.31% for ACLO. At a 0.07 correlation, their price movements are largely independent. AIFD charges 0.75%/yr vs 0.20%/yr for ACLO.
Performance
AIFD vs. ACLO - Performance Comparison
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Returns By Period
In the year-to-date period, AIFD achieves a 49.97% return, which is significantly higher than ACLO's 2.21% return.
AIFD
- 1D
- -1.63%
- 1M
- 17.54%
- YTD
- 49.97%
- 6M
- 50.25%
- 1Y
- 98.66%
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
ACLO
- 1D
- 0.02%
- 1M
- 0.42%
- YTD
- 2.21%
- 6M
- 2.58%
- 1Y
- 5.31%
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
AIFD vs. ACLO - Yearly Performance Comparison
| 2026 (YTD) | 2025 | 2024 | |
|---|---|---|---|
AIFD TCW Artificial Intelligence ETF | 49.97% | 28.30% | 3.79% |
ACLO TCW AAA CLO ETF | 2.21% | 5.32% | 0.81% |
Correlation
The correlation between AIFD and ACLO is -0.02, 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 | -0.02 |
Correlation (All Time) Calculated using the full available price history since Nov 19, 2024 | 0.07 |
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Return for Risk
AIFD vs. ACLO — Risk / Return Rank
AIFD
ACLO
AIFD vs. ACLO - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for TCW Artificial Intelligence ETF (AIFD) and TCW AAA CLO ETF (ACLO). 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.
| AIFD | ACLO | Difference | |
|---|---|---|---|
Sharpe ratioReturn per unit of total volatility | 3.89 | 7.29 | -3.41 |
Sortino ratioReturn per unit of downside risk | 4.36 | 14.85 | -10.49 |
Omega ratioGain probability vs. loss probability | 1.58 | 3.41 | -1.82 |
Calmar ratioReturn relative to maximum drawdown | 8.44 | 19.90 | -11.46 |
Martin ratioReturn relative to average drawdown | 35.74 | 164.37 | -128.63 |
Data is calculated on a 1-year rolling basis and updated daily. The trend shows the change in the indicator over the past month. | |||
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Sharpe Ratios by Period
| AIFD | ACLO | Difference | |
|---|---|---|---|
Sharpe Ratio (1Y)Calculated over the trailing 1-year period | 3.89 | 7.29 | -3.41 |
Sharpe Ratio (All Time)Calculated using the full available price history | 1.59 | 5.10 | -3.51 |
Drawdowns
AIFD vs. ACLO - Drawdown Comparison
The maximum AIFD drawdown since its inception was -33.20%, which is greater than ACLO's maximum drawdown of -1.01%. Use the drawdown chart below to compare losses from any high point for AIFD and ACLO.
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Drawdown Indicators
| AIFD | ACLO | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -33.20% | -1.01% | -32.19% |
Max Drawdown (1Y)Largest decline over 1 year | -11.75% | -0.27% | -11.48% |
Current DrawdownCurrent decline from peak | -1.63% | 0.00% | -1.63% |
Average DrawdownAverage peak-to-trough decline | -5.73% | -0.05% | -5.68% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 2.77% | 0.03% | +2.74% |
Volatility
AIFD vs. ACLO - Volatility Comparison
TCW Artificial Intelligence ETF (AIFD) has a higher volatility of 9.02% compared to TCW AAA CLO ETF (ACLO) at 0.14%. This indicates that AIFD's price experiences larger fluctuations and is considered to be riskier than ACLO based on this measure. The chart below showcases a comparison of their rolling one-month volatility.
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Volatility by Period
| AIFD | ACLO | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 9.02% | 0.14% | +8.88% |
Volatility (6M)Calculated over the trailing 6-month period | 19.84% | 0.57% | +19.27% |
Volatility (1Y)Calculated over the trailing 1-year period | 25.54% | 0.73% | +24.81% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 29.34% | 1.08% | +28.26% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 29.34% | 1.08% | +28.26% |
AIFD vs. ACLO - Expense Ratio Comparison
AIFD has a 0.75% expense ratio, which is higher than ACLO's 0.20% expense ratio.
Dividends
AIFD vs. ACLO - Dividend Comparison
AIFD has not paid dividends to shareholders, while ACLO's dividend yield for the trailing twelve months is around 4.91%.
| Position | TTM | 2025 | 2024 |
|---|---|---|---|
ACLO TCW AAA CLO ETF | 4.91% | 4.87% | 0.59% |
AIFD TCW Artificial Intelligence ETF | 0.00% | 0.00% | 0.00% |
Frequently Asked Questions
AIFD and ACLO have a correlation of -0.02, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.
AIFD has higher volatility (9.02%) compared to ACLO (0.14%). In terms of maximum drawdown, AIFD dropped -33.20% vs ACLO's -1.01%.
On 1-year performance, AIFD leads with 98.66% vs 5.31% for ACLO. On fees, ACLO is cheaper at 0.20% per year. On volatility, ACLO has been the lower-risk option at 0.14%. The better choice depends on whether you care most about return, fees, risk, or income.
Over the 1-year period, AIFD has performed better with a 98.66% return vs 5.31%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.
ACLO is cheaper with a 0.20% expense ratio, compared with 0.75% for AIFD.
ACLO has the higher dividend yield at 4.91%, compared with 0.00% for AIFD.
AIFD is categorized as Technology Equities, while ACLO is CLO. Their fees differ too: 0.75% for AIFD and 0.20% for ACLO.
ACLO currently has the higher Sharpe Ratio (7.29 vs 3.89), 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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