SUPP vs. LCDS
SUPP (TCW Transform Supply Chain ETF) and LCDS (JPMorgan Fundamental Data Science Large Core ETF) are both Large Cap Blend Equities funds. Both are actively managed. Over the past year, SUPP returned 36.89% vs 26.03% for LCDS. Their correlation of 0.83 suggests significant overlap in exposure. SUPP charges 0.75%/yr vs 0.30%/yr for LCDS.
Performance
SUPP vs. LCDS - Performance Comparison
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Returns By Period
In the year-to-date period, SUPP achieves a 25.93% return, which is significantly higher than LCDS's 9.30% return.
SUPP
- 1D
- 0.28%
- 1M
- 8.80%
- YTD
- 25.93%
- 6M
- 25.68%
- 1Y
- 36.89%
- 3Y*
- 19.81%
- 5Y*
- —
- 10Y*
- —
LCDS
- 1D
- -0.38%
- 1M
- 0.59%
- YTD
- 9.30%
- 6M
- 8.97%
- 1Y
- 26.03%
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
SUPP vs. LCDS - Yearly Performance Comparison
| 2026 (YTD) | 2025 | 2024 | |
|---|---|---|---|
SUPP TCW Transform Supply Chain ETF | 25.93% | 11.65% | 4.07% |
LCDS JPMorgan Fundamental Data Science Large Core ETF | 9.30% | 17.66% | 10.32% |
Correlation
The correlation between SUPP and LCDS is 0.80, 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 | 0.80 |
Correlation (All Time) Calculated using the full available price history since Aug 8, 2024 | 0.83 |
The correlation between SUPP and LCDS has been stable across timeframes, ranging from 0.80 to 0.83 - a consistent structural relationship.
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Return for Risk
SUPP vs. LCDS — Risk / Return Rank
SUPP
LCDS
SUPP vs. LCDS - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for TCW Transform Supply Chain ETF (SUPP) and JPMorgan Fundamental Data Science Large Core ETF (LCDS). 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.
| SUPP | LCDS | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | -0.37 | ||
| Sortino ratioReturn per unit of downside risk | -0.43 | ||
| Omega ratioGain probability vs. loss probability | 1.32 | 1.39 | -0.07 |
| Calmar ratioReturn relative to maximum drawdown | 2.73 | 2.89 | -0.17 |
| Martin ratioReturn relative to average drawdown | 11.11 | 12.70 | -1.59 |
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Drawdowns
SUPP vs. LCDS - Drawdown Comparison
The maximum SUPP drawdown since its inception was -25.03%, which is greater than LCDS's maximum drawdown of -18.39%. Use the drawdown chart below to compare losses from any high point for SUPP and LCDS.
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Drawdown Indicators
| SUPP | LCDS | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -25.03% | -18.39% | -6.64% |
Max Drawdown (1Y)Largest decline over 1 year | -13.59% | -9.03% | -4.56% |
Max Drawdown (3Y)Largest decline over 3 years | -25.03% | — | — |
Current DrawdownCurrent decline from peak | 0.00% | -1.54% | +1.54% |
Average DrawdownAverage peak-to-trough decline | -4.36% | -2.18% | -2.18% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 3.33% | 2.06% | +1.27% |
Volatility
SUPP vs. LCDS - Volatility Comparison
TCW Transform Supply Chain ETF (SUPP) has a higher volatility of 8.46% compared to JPMorgan Fundamental Data Science Large Core ETF (LCDS) at 4.24%. This indicates that SUPP's price experiences larger fluctuations and is considered to be riskier than LCDS based on this measure. The chart below showcases a comparison of their rolling one-month volatility.
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Volatility by Period
| SUPP | LCDS | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 8.46% | 4.24% | +4.22% |
Volatility (6M)Calculated over the trailing 6-month period | 17.72% | 9.57% | +8.15% |
Volatility (1Y)Calculated over the trailing 1-year period | 20.81% | 12.18% | +8.63% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 19.77% | 16.28% | +3.49% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 19.77% | 16.28% | +3.49% |
SUPP vs. LCDS - Expense Ratio Comparison
SUPP has a 0.75% expense ratio, which is higher than LCDS's 0.30% expense ratio.
Dividends
SUPP vs. LCDS - Dividend Comparison
SUPP's dividend yield for the trailing twelve months is around 0.28%, less than LCDS's 0.89% yield.
| Position | TTM | 2025 | 2024 | 2023 |
|---|---|---|---|---|
LCDS JPMorgan Fundamental Data Science Large Core ETF | 0.89% | 0.92% | 0.48% | 0.00% |
SUPP TCW Transform Supply Chain ETF | 0.28% | 0.35% | 0.49% | 0.45% |
Frequently Asked Questions
SUPP and LCDS have a correlation of 0.80, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.
SUPP has higher volatility (8.46%) compared to LCDS (4.24%). In terms of maximum drawdown, SUPP dropped -25.03% vs LCDS's -18.39%.
On 1-year performance, SUPP leads with 36.89% vs 26.03% for LCDS. On fees, LCDS is cheaper at 0.30% per year. On volatility, LCDS has been the lower-risk option at 4.24%. The better choice depends on whether you care most about return, fees, risk, or income.
Over the 1-year period, SUPP has performed better with a 36.89% return vs 26.03%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.
LCDS is cheaper with a 0.30% expense ratio, compared with 0.75% for SUPP.
LCDS has the higher dividend yield at 0.89%, compared with 0.28% for SUPP.
They also come from different issuers: TCW and JPMorgan. Their fees differ too: 0.75% for SUPP and 0.30% for LCDS.
LCDS currently has the higher Sharpe Ratio (2.15 vs 1.78), 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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