PBOT vs. PCLN
PBOT (Pictet AI & Automation ETF) and PCLN (Pictet Cleaner Planet ETF) are both exchange-traded funds - PBOT is a Robotics fund actively managed by Pictet, while PCLN is a Sustainable fund actively managed by Pictet. Both are actively managed. Their correlation of 0.80 suggests significant overlap in exposure. Both charge a 0.70% expense ratio.
Performance
PBOT vs. PCLN - Performance Comparison
Loading charts...
Returns By Period
The year-to-date returns for both stocks are quite close, with PBOT having a 28.15% return and PCLN slightly lower at 27.02%.
PBOT
- 1D
- -2.72%
- 1M
- -3.37%
- 6M
- 27.50%
- YTD
- 28.15%
- 1Y
- —
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
PCLN
- 1D
- -2.28%
- 1M
- -3.04%
- 6M
- 24.66%
- YTD
- 27.02%
- 1Y
- —
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
PBOT vs. PCLN - Yearly Performance Comparison
| 2026 (YTD) | 2025 | |
|---|---|---|
PBOT Pictet AI & Automation ETF | 28.15% | 0.33% |
PCLN Pictet Cleaner Planet ETF | 27.02% | -1.27% |
Correlation
The correlation between PBOT and PCLN 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 (All Time) Calculated using the full available price history since Oct 16, 2025 | 0.80 |
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
PBOT vs. PCLN - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for Pictet AI & Automation ETF (PBOT) and Pictet Cleaner Planet ETF (PCLN). 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.
Risk / return metrics aren't available yet — we need at least 12 months of trading data to calculate them.
Loading charts...
Drawdowns
PBOT vs. PCLN - Drawdown Comparison
The maximum PBOT drawdown since its inception was -15.78%, which is greater than PCLN's maximum drawdown of -12.34%. Use the drawdown chart below to compare losses from any high point for PBOT and PCLN.
Loading charts...
Drawdown Indicators
| PBOT | PCLN | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -15.78% | -12.34% | -3.44% |
Current DrawdownCurrent decline from peak | -4.82% | -5.48% | +0.66% |
Average DrawdownAverage peak-to-trough decline | -4.30% | -2.60% | -1.70% |
Volatility
PBOT vs. PCLN - Volatility Comparison
Loading charts...
Volatility by Period
| PBOT | PCLN | Difference | |
|---|---|---|---|
Volatility (1Y)Calculated over the trailing 1-year period | 26.89% | 24.33% | +2.56% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 26.89% | 24.33% | +2.56% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 26.89% | 24.33% | +2.56% |
PBOT vs. PCLN - Expense Ratio Comparison
Both PBOT and PCLN have an expense ratio of 0.70%.
Dividends
PBOT vs. PCLN - Dividend Comparison
PBOT's dividend yield for the trailing twelve months is around 0.07%, more than PCLN's 0.06% yield.
| Position | TTM | 2025 |
|---|---|---|
PBOT Pictet AI & Automation ETF | 0.07% | 0.10% |
PCLN Pictet Cleaner Planet ETF | 0.06% | 0.08% |
Frequently Asked Questions
PBOT and PCLN 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.
Both ETFs have the same 0.70% expense ratio. The better choice depends on whether you care most about return, fees, risk, or income.
PBOT and PCLN have the same expense ratio: 0.70% per year.
PBOT has the higher dividend yield at 0.07%, compared with 0.06% for PCLN.
PBOT is categorized as Robotics, while PCLN is Sustainable.
Find the right allocation for PBOT and PCLN
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