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ENGW.L vs. USD=X
Performance
Return for Risk
Drawdowns
Volatility

Performance

ENGW.L vs. USD=X - Performance Comparison

The chart below illustrates the hypothetical performance of a £10,000 investment in SPDR MSCI World Energy UCITS ETF (ENGW.L) and USD Cash (USD=X). The values are adjusted to include any dividend payments, if applicable.

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Different Trading Currencies

ENGW.L is traded in GBP, while USD=X is traded in USD. To make them comparable, the USD=X values have been converted to GBP using the latest available exchange rates.

Returns By Period

In the year-to-date period, ENGW.L achieves a 30.02% return, which is significantly higher than USD=X's 0.54% return. Over the past 10 years, ENGW.L has outperformed USD=X with an annualized return of 6.24%, while USD=X has yielded a comparatively lower 0.52% annualized return.


ENGW.L

1D
0.00%
1M
1.62%
YTD
30.02%
6M
29.20%
1Y
43.59%
3Y*
15.45%
5Y*
12.00%
10Y*
6.24%

USD=X

1D
0.00%
1M
1.03%
YTD
0.54%
6M
-0.11%
1Y
1.12%
3Y*
-2.01%
5Y*
1.04%
10Y*
0.52%
*Multi-year figures are annualized to reflect compound growth (CAGR)

ENGW.L vs. USD=X - Yearly Performance Comparison


2026 (YTD)202520242023202220212020201920182017
ENGW.L
SPDR MSCI World Energy UCITS ETF
30.02%7.20%3.55%-2.06%20.76%40.49%-31.10%11.37%-15.80%5.24%
USD=X
USD Cash
0.54%-7.12%1.75%-5.00%11.89%0.95%-2.94%-3.80%5.93%-8.65%

Correlation

The correlation between ENGW.L and USD=X is 0.21, which is low. Their price movements are largely independent, making them effective diversification partners.


Correlation
Correlation (1Y)
Calculated over the trailing 1-year period

0.21

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

0.18

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

0.03

Correlation (10Y)
Calculated over the trailing 10-year period

-0.06

Correlation (All Time)
Calculated using the full available price history since Jan 4, 2011

-0.15

The correlation between ENGW.L and USD=X shifts across timeframes, from -0.15 (all time) to 0.21 (1 year), reflecting how their relationship changes across market environments.

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Return for Risk

ENGW.L vs. USD=X — Risk / Return Rank

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

ENGW.L
ENGW.L Risk / Return Rank: 6969
Overall Rank
ENGW.L Sharpe Ratio Rank: 7676
Sharpe Ratio Rank
ENGW.L Sortino Ratio Rank: 6464
Sortino Ratio Rank
ENGW.L Omega Ratio Rank: 7474
Omega Ratio Rank
ENGW.L Calmar Ratio Rank: 7070
Calmar Ratio Rank
ENGW.L Martin Ratio Rank: 6363
Martin Ratio Rank

USD=X

Risk / return metrics aren't available yet — we need at least 12 months of trading data to calculate them.

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.

ENGW.L vs. USD=X - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for SPDR MSCI World Energy UCITS ETF (ENGW.L) and USD Cash (USD=X). 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.


ENGW.LUSD=XDifference
Sharpe ratioReturn per unit of total volatility

+1.82

Sortino ratioReturn per unit of downside risk

+2.14

Omega ratioGain probability vs. loss probability

1.37

1.04

+0.33

Calmar ratioReturn relative to maximum drawdown

3.01

0.27

+2.74

Martin ratioReturn relative to average drawdown

9.59

0.61

+8.98

ENGW.L vs. USD=X - Sharpe Ratio Comparison

The current ENGW.L Sharpe Ratio is 2.06, which is higher than the USD=X Sharpe Ratio of 0.23. The chart below compares the historical Sharpe Ratios of ENGW.L and USD=X, 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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Drawdowns

ENGW.L vs. USD=X - Drawdown Comparison

The maximum ENGW.L drawdown since its inception was -69.49%, which is greater than USD=X's maximum drawdown of -22.85%. Use the drawdown chart below to compare losses from any high point for ENGW.L and USD=X.


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Drawdown Indicators


ENGW.LUSD=XDifference

Max Drawdown

Largest peak-to-trough decline

-69.49%

-22.85%

-46.64%

Max Drawdown (1Y)

Largest decline over 1 year

-14.56%

-5.98%

-8.58%

Max Drawdown (3Y)

Largest decline over 3 years

-21.40%

-12.79%

-8.61%

Max Drawdown (5Y)

Largest decline over 5 years

-28.10%

-22.85%

-5.25%

Max Drawdown (10Y)

Largest decline over 10 years

-64.68%

-22.85%

-41.83%

Current Drawdown

Current decline from peak

-8.12%

-20.27%

+12.15%

Average Drawdown

Average peak-to-trough decline

-20.76%

-11.08%

-9.68%

Ulcer Index

Depth and duration of drawdowns from previous peaks

4.56%

2.95%

+1.61%

Volatility

ENGW.L vs. USD=X - Volatility Comparison

SPDR MSCI World Energy UCITS ETF (ENGW.L) has a higher volatility of 6.62% compared to USD Cash (USD=X) at 1.76%. This indicates that ENGW.L's price experiences larger fluctuations and is considered to be riskier than USD=X based on this measure. The chart below showcases a comparison of their rolling one-month volatility.


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Volatility by Period


ENGW.LUSD=XDifference

Volatility (1M)

Calculated over the trailing 1-month period

6.62%

1.76%

+4.86%

Volatility (6M)

Calculated over the trailing 6-month period

18.24%

5.20%

+13.04%

Volatility (1Y)

Calculated over the trailing 1-year period

21.29%

5.75%

+15.54%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

25.49%

7.12%

+18.37%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

26.79%

7.91%

+18.88%

Frequently Asked Questions


ENGW.L and USD=X have a correlation of 0.21, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

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