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MMLG vs. IQM
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

MMLG vs. IQM - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in First Trust Multi-Manager Large Growth ETF (MMLG) and Franklin Intelligent Machines ETF (IQM). The values are adjusted to include any dividend payments, if applicable.

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Returns By Period

In the year-to-date period, MMLG achieves a 4.76% return, which is significantly lower than IQM's 40.18% return.


MMLG

1D
-1.42%
1M
4.92%
YTD
4.76%
6M
4.14%
1Y
16.13%
3Y*
21.41%
5Y*
8.34%
10Y*

IQM

1D
-0.37%
1M
11.94%
YTD
40.18%
6M
38.57%
1Y
75.07%
3Y*
37.62%
5Y*
22.22%
10Y*
*Multi-year figures are annualized to reflect compound growth (CAGR)

MMLG vs. IQM - Yearly Performance Comparison


2026 (YTD)202520242023202220212020
MMLG
First Trust Multi-Manager Large Growth ETF
4.76%17.28%25.96%45.21%-39.18%13.23%20.61%
IQM
Franklin Intelligent Machines ETF
40.18%30.76%31.03%41.06%-33.36%25.18%39.37%

Correlation

The correlation between MMLG and IQM is 0.80, which is moderate. They share some common price drivers but move independently often enough to provide real diversification benefit when combined.


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

0.80

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

0.87

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

0.89

Correlation (All Time)
Calculated using the full available price history since Jul 23, 2020

0.89

The correlation between MMLG and IQM has been stable across timeframes, ranging from 0.80 to 0.89 - a consistent structural relationship.

MMLG vs. IQM - Sectors Allocation Comparison


Sectors
MMLG
IQM

Technology

39.5%
65.9%

Financial Services

13.2%

-

Consumer Cyclical

11.8%
4.1%

Industrials

10.5%
19.9%

Healthcare

9.2%
1.1%

Communication Services

7.9%
2.1%

Consumer Defensive

2.6%

-

Basic Materials

1.3%

-

Energy

1.3%
2.7%

Utilities

1.3%
3.3%

Real Estate

-

-

Technology

MMLG
39.5%
IQM
65.9%

Financial Services

MMLG
13.2%
IQM

-

Consumer Cyclical

MMLG
11.8%
IQM
4.1%

Industrials

MMLG
10.5%
IQM
19.9%

Healthcare

MMLG
9.2%
IQM
1.1%

Communication Services

MMLG
7.9%
IQM
2.1%

Consumer Defensive

MMLG
2.6%
IQM

-

Basic Materials

MMLG
1.3%
IQM

-

Energy

MMLG
1.3%
IQM
2.7%

Utilities

MMLG
1.3%
IQM
3.3%

Real Estate

MMLG

-

IQM

-

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Return for Risk

MMLG vs. IQM — Risk / Return Rank

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

MMLG
MMLG Risk / Return Rank: 2323
Overall Rank
MMLG Sharpe Ratio Rank: 2525
Sharpe Ratio Rank
MMLG Sortino Ratio Rank: 2424
Sortino Ratio Rank
MMLG Omega Ratio Rank: 2424
Omega Ratio Rank
MMLG Calmar Ratio Rank: 1919
Calmar Ratio Rank
MMLG Martin Ratio Rank: 2020
Martin Ratio Rank

IQM
IQM Risk / Return Rank: 7878
Overall Rank
IQM Sharpe Ratio Rank: 8181
Sharpe Ratio Rank
IQM Sortino Ratio Rank: 6666
Sortino Ratio Rank
IQM Omega Ratio Rank: 7171
Omega Ratio Rank
IQM Calmar Ratio Rank: 8888
Calmar Ratio Rank
IQM Martin Ratio Rank: 8383
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.

MMLG vs. IQM - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for First Trust Multi-Manager Large Growth ETF (MMLG) and Franklin Intelligent Machines ETF (IQM). 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.


MMLGIQMDifference
Sharpe ratioReturn per unit of total volatility

-1.78

Sortino ratioReturn per unit of downside risk

-1.81

Omega ratioGain probability vs. loss probability

1.16

1.43

-0.27

Calmar ratioReturn relative to maximum drawdown

0.81

5.13

-4.32

Martin ratioReturn relative to average drawdown

2.34

16.79

-14.45

MMLG vs. IQM - Sharpe Ratio Comparison

The current MMLG Sharpe Ratio is 0.89, which is lower than the IQM Sharpe Ratio of 2.67. The chart below compares the historical Sharpe Ratios of MMLG and IQM, 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


MMLGIQMDifference

Sharpe Ratio (1Y)

Calculated over the trailing 1-year period

0.89

2.67

-1.78

Sharpe Ratio (5Y)

Calculated over the trailing 5-year period

0.34

0.77

-0.44

Sharpe Ratio (All Time)

Calculated using the full available price history

0.46

0.96

-0.50

Drawdowns

MMLG vs. IQM - Drawdown Comparison

The maximum MMLG drawdown since its inception was -45.97%, roughly equal to the maximum IQM drawdown of -44.91%. Use the drawdown chart below to compare losses from any high point for MMLG and IQM.


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Drawdown Indicators


MMLGIQMDifference

Max Drawdown

Largest peak-to-trough decline

-45.97%

-44.91%

-1.06%

Max Drawdown (1Y)

Largest decline over 1 year

-19.89%

-14.71%

-5.18%

Max Drawdown (3Y)

Largest decline over 3 years

-26.57%

-30.42%

+3.85%

Max Drawdown (5Y)

Largest decline over 5 years

-45.97%

-44.91%

-1.06%

Current Drawdown

Current decline from peak

-2.17%

-0.37%

-1.80%

Average Drawdown

Average peak-to-trough decline

-14.36%

-12.25%

-2.11%

Ulcer Index

Depth and duration of drawdowns from previous peaks

6.91%

4.49%

+2.42%

Volatility

MMLG vs. IQM - Volatility Comparison

The current volatility for First Trust Multi-Manager Large Growth ETF (MMLG) is 4.37%, while Franklin Intelligent Machines ETF (IQM) has a volatility of 9.20%. This indicates that MMLG experiences smaller price fluctuations and is considered to be less risky than IQM based on this measure. The chart below showcases a comparison of their rolling one-month volatility.


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Volatility by Period


MMLGIQMDifference

Volatility (1M)

Calculated over the trailing 1-month period

4.37%

9.20%

-4.83%

Volatility (6M)

Calculated over the trailing 6-month period

14.03%

22.92%

-8.89%

Volatility (1Y)

Calculated over the trailing 1-year period

18.22%

28.27%

-10.05%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

24.94%

28.91%

-3.97%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

24.54%

30.72%

-6.18%

MMLG vs. IQM - Expense Ratio Comparison

MMLG has a 0.85% expense ratio, which is higher than IQM's 0.50% expense ratio.


Dividends

MMLG vs. IQM - Dividend Comparison

Neither MMLG nor IQM has paid dividends to shareholders.


PositionTTM202520242023202220212020
IQM
Franklin Intelligent Machines ETF
0.00%0.00%0.00%0.00%0.00%0.17%0.01%
MMLG
First Trust Multi-Manager Large Growth ETF
0.00%0.00%0.00%0.00%0.00%0.00%0.25%

Frequently Asked Questions


MMLG and IQM 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.

IQM has higher volatility (9.20%) compared to MMLG (4.37%). In terms of maximum drawdown, MMLG dropped -45.97% vs IQM's -44.91%.

On 5-year performance, IQM leads with 22.22% vs 8.34% for MMLG. On fees, IQM is cheaper at 0.50% per year. On volatility, MMLG has been the lower-risk option at 4.37%. The better choice depends on whether you care most about return, fees, risk, or income.

Over the 5-year period, IQM has performed better with a 22.22% return vs 8.34%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.

IQM is cheaper with a 0.50% expense ratio, compared with 0.85% for MMLG.

MMLG and IQM have nearly identical dividend yields, around 0.00%.

They also come from different issuers: First Trust and Franklin Templeton. Their fees differ too: 0.85% for MMLG and 0.50% for IQM.

IQM currently has the higher Sharpe Ratio (2.67 vs 0.89), meaning it's delivered slightly more return per unit of risk over the trailing 12 months. However, this ranking shifts over time - use the Risk/Return Score above for a more comprehensive view that combines Sharpe, Sortino, and other measures used by quantitative funds.

Portfolio Optimizer

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