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Performance
Performance Chart
The chart shows the growth of an initial investment of €10,000 in abrdn Future Supply Chains UCITS ETF, comparing it to the performance of the S&P 500 index or another benchmark. All prices have been adjusted for splits and dividends.
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Different Benchmark Currency
ASCH.DE is traded in EUR, while the ^GSPC benchmark is in USD. To make them comparable, the benchmark values have been converted to EUR using the latest available exchange rates.
Returns By Period
abrdn Future Supply Chains UCITS ETF
- 1D
- -0.38%
- 1M
- -10.40%
- YTD
- 4.66%
- 6M
- 9.75%
- 1Y
- —
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
Benchmark (S&P 500 Index)
- 1D
- 2.02%
- 1M
- -2.96%
- YTD
- -3.12%
- 6M
- -0.95%
- 1Y
- 8.84%
- 3Y*
- 14.21%
- 5Y*
- 10.59%
- 10Y*
- 11.99%
Monthly Returns
Based on dividend-adjusted daily data since May 13, 2025, ASCH.DE's average daily return is +0.09%, while the average monthly return is +2.02%. At this rate, your investment would double in approximately 2.9 years.
Historically, 73% of months were positive and 27% were negative. The best month was Feb 2026 with a return of +9.3%, while the worst month was Mar 2026 at -10.4%. The longest winning streak lasted 3 consecutive months, and the longest losing streak was 1 months.
On a daily basis, ASCH.DE closed higher 53% of trading days. The best single day was Mar 10, 2026 with a return of +2.3%, while the worst single day was Mar 3, 2026 at -3.7%.
| Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Total | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2026 | 6.88% | 9.28% | -10.40% | 4.66% | |||||||||
| 2025 | 0.93% | 2.07% | 4.00% | -0.29% | 4.66% | 7.94% | -3.03% | 0.18% | 17.25% |
Benchmark Metrics
abrdn Future Supply Chains UCITS ETF has an annualized alpha of 22.28%, beta of 0.54, and R² of 0.25 versus S&P 500 Index. Calculated based on daily prices since May 14, 2025.
- This ETF captured 234.92% of S&P 500 Index gains but only 95.92% of its losses — a favorable profile for investors.
- Beta of 0.54 may look defensive, but with R² of 0.25 this ETF is largely uncorrelated with S&P 500 Index — low beta reflects independence, not downside protection. See the Volatility section for a true picture of this ETF's risk.
- R² of 0.25 means this ETF moves largely independently of S&P 500 Index — capture ratios reflect limited market correlation rather than active downside protection. Consider using a more representative benchmark.
- Alpha
- 22.28%
- Beta
- 0.54
- R²
- 0.25
- Upside Capture
- 234.92%
- Downside Capture
- 95.92%
Expense Ratio
ASCH.DE has an expense ratio of 0.60%, placing it in the medium range.
Return for Risk
Return / Risk — by metrics
The table below present risk-adjusted performance metrics for abrdn Future Supply Chains UCITS ETF (ASCH.DE) and compare them to a chosen benchmark (S&P 500 Index).
Risk / return metrics aren't available yet — we need at least 12 months of trading data to calculate them.
Dividends
Dividend History
Drawdowns
Drawdowns Chart
The Drawdowns chart displays portfolio losses from any high point along the way. Drawdowns are calculated considering price movements and all distributions paid, if any.
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Worst Drawdowns
The table below displays the maximum drawdowns of the abrdn Future Supply Chains UCITS ETF. A maximum drawdown is a measure of risk, indicating the largest reduction in portfolio value due to a series of losing trades.
The maximum drawdown for the abrdn Future Supply Chains UCITS ETF was 11.06%, occurring on Mar 31, 2026. The portfolio has not yet recovered.
The current abrdn Future Supply Chains UCITS ETF drawdown is 11.06%.
Depth | Start | To Bottom | Bottom | To Recover | End | Total |
|---|---|---|---|---|---|---|
| -11.06% | Mar 3, 2026 | 21 | Mar 31, 2026 | — | — | — |
| -7.69% | Nov 4, 2025 | 14 | Nov 21, 2025 | 30 | Jan 9, 2026 | 44 |
| -2.51% | Aug 1, 2025 | 1 | Aug 1, 2025 | 15 | Aug 22, 2025 | 16 |
| -2.25% | Aug 29, 2025 | 3 | Sep 2, 2025 | 4 | Sep 8, 2025 | 7 |
| -2.12% | Jan 19, 2026 | 2 | Jan 20, 2026 | 10 | Feb 3, 2026 | 12 |
Volatility
Volatility Chart
The chart below shows the rolling one-month volatility.
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