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FLM vs. QCLN
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

FLM vs. QCLN - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in First Trust Global Engineering and Construction ETF (FLM) and First Trust NASDAQ Clean Edge Green Energy Index Fund (QCLN). The values are adjusted to include any dividend payments, if applicable.

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Returns By Period


FLM

1D
-4.55%
1M
YTD
6M
1Y
3Y*
5Y*
10Y*

QCLN

1D
-6.27%
1M
-3.52%
YTD
37.20%
6M
31.57%
1Y
92.03%
3Y*
8.84%
5Y*
-1.13%
10Y*
16.79%
*Multi-year figures are annualized to reflect compound growth (CAGR)

FLM vs. QCLN - Yearly Performance Comparison


Correlation

The correlation between FLM and QCLN is 0.31, which is low. Their price movements are largely independent, making them effective diversification partners.


Correlation
Correlation (All Time)
Calculated using the full available price history since Jun 5, 2026

0.31

FLM vs. QCLN - Sectors Allocation Comparison


Sectors
FLM
QCLN

Industrials

37.1%
24.8%

Energy

8.1%
0.1%

Technology

7.9%
47.6%

Basic Materials

7.4%
7.8%

Real Estate

5.7%

-

Communication Services

0.7%

-

Utilities

0.7%
8.1%

Consumer Cyclical

-

10.2%

Consumer Defensive

-

-

Financial Services

-

1.4%

Healthcare

-

-

Industrials

FLM
37.1%
QCLN
24.8%

Energy

FLM
8.1%
QCLN
0.1%

Technology

FLM
7.9%
QCLN
47.6%

Basic Materials

FLM
7.4%
QCLN
7.8%

Real Estate

FLM
5.7%
QCLN

-

Communication Services

FLM
0.7%
QCLN

-

Utilities

FLM
0.7%
QCLN
8.1%

Consumer Cyclical

FLM

-

QCLN
10.2%

Consumer Defensive

FLM

-

QCLN

-

Financial Services

FLM

-

QCLN
1.4%

Healthcare

FLM

-

QCLN

-

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Return for Risk

FLM vs. QCLN — Risk / Return Rank

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

FLM

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


QCLN
QCLN Risk / Return Rank: 7878
Overall Rank
QCLN Sharpe Ratio Rank: 8181
Sharpe Ratio Rank
QCLN Sortino Ratio Rank: 6666
Sortino Ratio Rank
QCLN Omega Ratio Rank: 6464
Omega Ratio Rank
QCLN Calmar Ratio Rank: 9191
Calmar Ratio Rank
QCLN Martin Ratio Rank: 8888
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.

FLM vs. QCLN - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for First Trust Global Engineering and Construction ETF (FLM) and First Trust NASDAQ Clean Edge Green Energy Index Fund (QCLN). 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.


FLMQCLNDifference
Sharpe ratioReturn per unit of total volatility

Sortino ratioReturn per unit of downside risk

Omega ratioGain probability vs. loss probability

1.37

Calmar ratioReturn relative to maximum drawdown

5.64

Martin ratioReturn relative to average drawdown

18.14

FLM vs. QCLN - Sharpe Ratio Comparison


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Drawdowns

FLM vs. QCLN - Drawdown Comparison

The maximum FLM drawdown since its inception was -4.55%, smaller than the maximum QCLN drawdown of -76.18%. Use the drawdown chart below to compare losses from any high point for FLM and QCLN.


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Drawdown Indicators


FLMQCLNDifference

Max Drawdown

Largest peak-to-trough decline

-4.55%

-76.18%

+71.63%

Max Drawdown (1Y)

Largest decline over 1 year

-16.40%

Max Drawdown (3Y)

Largest decline over 3 years

-56.08%

Max Drawdown (5Y)

Largest decline over 5 years

-69.49%

Max Drawdown (10Y)

Largest decline over 10 years

-71.73%

Current Drawdown

Current decline from peak

-4.55%

-29.12%

+24.57%

Average Drawdown

Average peak-to-trough decline

-2.27%

-43.40%

+41.13%

Ulcer Index

Depth and duration of drawdowns from previous peaks

5.09%

Volatility

FLM vs. QCLN - Volatility Comparison


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Volatility by Period


FLMQCLNDifference

Volatility (1M)

Calculated over the trailing 1-month period

17.77%

Volatility (6M)

Calculated over the trailing 6-month period

29.96%

Volatility (1Y)

Calculated over the trailing 1-year period

51.02%

37.45%

+13.57%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

51.02%

38.54%

+12.48%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

51.02%

35.21%

+15.81%

FLM vs. QCLN - Expense Ratio Comparison

FLM has a 0.70% expense ratio, which is higher than QCLN's 0.59% expense ratio.


Dividends

FLM vs. QCLN - Dividend Comparison

FLM has not paid dividends to shareholders, while QCLN's dividend yield for the trailing twelve months is around 0.16%.


PositionTTM20252024202320222021202020192018201720162015
FLM
First Trust Global Engineering and Construction ETF
0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%
QCLN
First Trust NASDAQ Clean Edge Green Energy Index Fund
0.16%0.25%0.87%0.76%0.33%0.01%0.30%0.85%1.03%0.45%1.24%0.72%

Frequently Asked Questions


FLM and QCLN have a correlation of 0.31, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

On fees, QCLN is cheaper at 0.59% per year. The better choice depends on whether you care most about return, fees, risk, or income.

QCLN is cheaper with a 0.59% expense ratio, compared with 0.70% for FLM.

QCLN has the higher dividend yield at 0.16%, compared with 0.00% for FLM.

FLM is categorized as Building & Construction, while QCLN is Alternative Energy Equities. FLM tracks ISE Global Engineering & Construction Index, while QCLN tracks Nasdaq Clean Edge Green Energy Index. Their fees differ too: 0.70% for FLM and 0.59% for QCLN.

Portfolio Optimizer

Find the right allocation for FLM and QCLN

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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