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MLPS.L vs. GCLX.L
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

MLPS.L vs. GCLX.L - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in Invesco Morningstar US Energy Infrastructure MLP UCITS ETF (MLPS.L) and Invesco Global Clean Energy UCITS ETF Acc (GCLX.L). The values are adjusted to include any dividend payments, if applicable.

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Different Trading Currencies

MLPS.L is traded in USD, while GCLX.L is traded in GBp. To make them comparable, the GCLX.L values have been converted to USD using the latest available exchange rates.

Returns By Period

In the year-to-date period, MLPS.L achieves a 19.52% return, which is significantly lower than GCLX.L's 36.97% return.


MLPS.L

1D
1.18%
1M
0.77%
YTD
19.52%
6M
16.56%
1Y
16.47%
3Y*
19.21%
5Y*
17.43%
10Y*
7.33%

GCLX.L

1D
-0.81%
1M
5.73%
YTD
36.97%
6M
39.86%
1Y
90.55%
3Y*
8.38%
5Y*
-4.39%
10Y*
*Multi-year figures are annualized to reflect compound growth (CAGR)

MLPS.L vs. GCLX.L - Yearly Performance Comparison


2026 (YTD)20252024202320222021
MLPS.L
Invesco Morningstar US Energy Infrastructure MLP UCITS ETF
19.52%2.44%22.62%19.38%31.92%11.93%
GCLX.L
Invesco Global Clean Energy UCITS ETF Acc
36.97%42.47%-26.64%-10.91%-30.74%-22.09%

Correlation

The correlation between MLPS.L and GCLX.L is -0.00, 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

-0.00

Correlation (3Y)
Calculated over the trailing 3-year period

0.29

Correlation (5Y)
Calculated over the trailing 5-year period

0.38

Correlation (All Time)
Calculated using the full available price history since Mar 3, 2021

0.37

The correlation between MLPS.L and GCLX.L shifts across timeframes, from -0.00 (1 year) to 0.38 (5 years), reflecting how their relationship changes across market environments.

MLPS.L vs. GCLX.L - Sectors Allocation Comparison


Sectors
MLPS.L
GCLX.L

Energy

96.7%
13.6%

Utilities

3.2%
16.1%

Industrials

0.2%
47.5%

Basic Materials

-

3.4%

Communication Services

-

-

Consumer Cyclical

-

10.2%

Consumer Defensive

-

0.9%

Financial Services

-

0.9%

Healthcare

-

-

Real Estate

-

-

Technology

-

6.8%

Energy

MLPS.L
96.7%
GCLX.L
13.6%

Utilities

MLPS.L
3.2%
GCLX.L
16.1%

Industrials

MLPS.L
0.2%
GCLX.L
47.5%

Basic Materials

MLPS.L

-

GCLX.L
3.4%

Communication Services

MLPS.L

-

GCLX.L

-

Consumer Cyclical

MLPS.L

-

GCLX.L
10.2%

Consumer Defensive

MLPS.L

-

GCLX.L
0.9%

Financial Services

MLPS.L

-

GCLX.L
0.9%

Healthcare

MLPS.L

-

GCLX.L

-

Real Estate

MLPS.L

-

GCLX.L

-

Technology

MLPS.L

-

GCLX.L
6.8%

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Return for Risk

MLPS.L vs. GCLX.L — Risk / Return Rank

Compare risk-adjusted metric ranks to identify better-performing investments over the past 12 months.

MLPS.L
MLPS.L Risk / Return Rank: 3333
Overall Rank
MLPS.L Sharpe Ratio Rank: 3232
Sharpe Ratio Rank
MLPS.L Sortino Ratio Rank: 3030
Sortino Ratio Rank
MLPS.L Omega Ratio Rank: 2929
Omega Ratio Rank
MLPS.L Calmar Ratio Rank: 4040
Calmar Ratio Rank
MLPS.L Martin Ratio Rank: 3333
Martin Ratio Rank

GCLX.L
GCLX.L Risk / Return Rank: 9595
Overall Rank
GCLX.L Sharpe Ratio Rank: 9696
Sharpe Ratio Rank
GCLX.L Sortino Ratio Rank: 9595
Sortino Ratio Rank
GCLX.L Omega Ratio Rank: 9494
Omega Ratio Rank
GCLX.L Calmar Ratio Rank: 9595
Calmar Ratio Rank
GCLX.L Martin Ratio Rank: 9494
Martin Ratio Rank
The rank (0–100) shows how this investment's returns compare to the risk taken. Higher = better. Based on the past 12 months of data, combining Sharpe, Sortino, and other metrics used by quantitative funds and institutional investors.

MLPS.L vs. GCLX.L - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for Invesco Morningstar US Energy Infrastructure MLP UCITS ETF (MLPS.L) and Invesco Global Clean Energy UCITS ETF Acc (GCLX.L). 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.


MLPS.LGCLX.LDifference
Sharpe ratioReturn per unit of total volatility

-2.86

Sortino ratioReturn per unit of downside risk

-3.06

Omega ratioGain probability vs. loss probability

1.20

1.62

-0.42

Calmar ratioReturn relative to maximum drawdown

1.94

8.14

-6.20

Martin ratioReturn relative to average drawdown

5.03

26.99

-21.96

MLPS.L vs. GCLX.L - Sharpe Ratio Comparison

The current MLPS.L Sharpe Ratio is 1.16, which is lower than the GCLX.L Sharpe Ratio of 4.02. The chart below compares the historical Sharpe Ratios of MLPS.L and GCLX.L, calculated using daily returns over the previous 12 months. A higher Sharpe Ratio indicates better risk-adjusted performance relative to the risk-free rate.


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Sharpe Ratios by Period


MLPS.LGCLX.LDifference

Sharpe Ratio (1Y)

Calculated over the trailing 1-year period

1.16

4.02

-2.86

Sharpe Ratio (5Y)

Calculated over the trailing 5-year period

0.85

-0.16

+1.01

Sharpe Ratio (10Y)

Calculated over the trailing 10-year period

0.26

Sharpe Ratio (All Time)

Calculated using the full available price history

0.15

-0.24

+0.39

Drawdowns

MLPS.L vs. GCLX.L - Drawdown Comparison

The maximum MLPS.L drawdown since its inception was -82.23%, which is greater than GCLX.L's maximum drawdown of -71.94%. Use the drawdown chart below to compare losses from any high point for MLPS.L and GCLX.L.


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Drawdown Indicators


MLPS.LGCLX.LDifference

Max Drawdown

Largest peak-to-trough decline

-82.23%

-71.94%

-10.29%

Max Drawdown (1Y)

Largest decline over 1 year

-8.45%

-11.06%

+2.61%

Max Drawdown (3Y)

Largest decline over 3 years

-17.67%

-53.30%

+35.63%

Max Drawdown (5Y)

Largest decline over 5 years

-21.76%

-69.81%

+48.05%

Max Drawdown (10Y)

Largest decline over 10 years

-75.70%

Current Drawdown

Current decline from peak

-2.66%

-31.18%

+28.52%

Average Drawdown

Average peak-to-trough decline

-28.26%

-44.61%

+16.35%

Ulcer Index

Depth and duration of drawdowns from previous peaks

3.27%

3.34%

-0.07%

Volatility

MLPS.L vs. GCLX.L - Volatility Comparison

The current volatility for Invesco Morningstar US Energy Infrastructure MLP UCITS ETF (MLPS.L) is 5.27%, while Invesco Global Clean Energy UCITS ETF Acc (GCLX.L) has a volatility of 9.20%. This indicates that MLPS.L experiences smaller price fluctuations and is considered to be less risky than GCLX.L based on this measure. The chart below showcases a comparison of their rolling one-month volatility.


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Volatility by Period


MLPS.LGCLX.LDifference

Volatility (1M)

Calculated over the trailing 1-month period

5.27%

9.20%

-3.93%

Volatility (6M)

Calculated over the trailing 6-month period

10.77%

15.80%

-5.03%

Volatility (1Y)

Calculated over the trailing 1-year period

14.14%

22.44%

-8.30%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

20.41%

28.03%

-7.62%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

28.54%

28.56%

-0.02%

MLPS.L vs. GCLX.L - Expense Ratio Comparison

MLPS.L has a 0.50% expense ratio, which is lower than GCLX.L's 0.60% expense ratio.


Dividends

MLPS.L vs. GCLX.L - Dividend Comparison

Neither MLPS.L nor GCLX.L has paid dividends to shareholders.


Tickers have no history of dividend payments

Frequently Asked Questions


MLPS.L and GCLX.L have a correlation of -0.00, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

On fees, MLPS.L is cheaper at 0.50% per year. The better choice depends on whether you care most about return, fees, risk, or income.

MLPS.L is cheaper with a 0.50% expense ratio, compared with 0.60% for GCLX.L.

MLPS.L tracks MSCI World/Energy NR USD, while GCLX.L tracks S&P Global Clean Energy TR USD. Their fees differ too: 0.50% for MLPS.L and 0.60% for GCLX.L.

Portfolio Optimizer

Find the right allocation for MLPS.L and GCLX.L

Add both to a portfolio and optimize allocations for your target — whether that's maximizing returns, minimizing drawdowns, or balancing risk across holdings.

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