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STNC vs. IQM
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

STNC vs. IQM - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in Hennessy Stance ESG ETF (STNC) 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, STNC achieves a 11.50% return, which is significantly lower than IQM's 17.24% return.


STNC

1D
-0.02%
1M
-0.41%
6M
6.93%
YTD
11.50%
1Y
20.36%
3Y*
11.71%
5Y*
7.12%
10Y*
ALL TIME*
8.09%

IQM

1D
0.65%
1M
-8.20%
6M
11.29%
YTD
17.24%
1Y
32.29%
3Y*
27.64%
5Y*
15.91%
10Y*
ALL TIME*
24.95%
*Multi-year figures are annualized to reflect compound growth (CAGR)

Liquidity Comparison


PositionAvg. Volume Value (2W)Avg. Volume Value (1M)Avg. Volume Value (3M)
$879.80K$730.37K$921.63K
$80.91K$76.39K$55.00K

STNC vs. IQM - Yearly Performance Comparison


2026 (YTD)20252024202320222021
STNC
Hennessy Stance ESG ETF
11.50%10.33%8.92%11.49%-13.10%17.04%
IQM
Franklin Intelligent Machines ETF
17.24%30.76%31.03%41.06%-33.36%24.35%

Correlation

The correlation between STNC and IQM is 0.59, which is moderate. They have sometimes moved together and sometimes differently, sharing some price drivers without tracking each other closely.


Correlation
Correlation (1Y)
Focuses on recent behavior, but can change the most.

0.59

Correlation (3Y)
Balances recent behavior with more history.

0.59

Correlation (5Y)
Shows whether the relationship held over a longer period.

0.68

Correlation (All Time)
Calculated using the full available price history since Mar 16, 2021

0.68

The correlation between STNC and IQM has been stable across timeframes, ranging from 0.59 to 0.68 - a consistent structural relationship.

STNC vs. IQM - Sectors Allocation Comparison


Sectors
STNC
IQM

Technology

27.3%
70.5%

Consumer Cyclical

17.9%
2.7%

Healthcare

12.7%
1.0%

Industrials

11.6%
14.8%

Consumer Defensive

6.9%

-

Financial Services

6.3%

-

Communication Services

6.2%
1.1%

Utilities

4.6%
3.5%

Basic Materials

3.5%

-

Real Estate

3.0%

-

Energy

-

3.1%

Technology

STNC
27.3%
IQM
70.5%

Consumer Cyclical

STNC
17.9%
IQM
2.7%

Healthcare

STNC
12.7%
IQM
1.0%

Industrials

STNC
11.6%
IQM
14.8%

Consumer Defensive

STNC
6.9%
IQM

-

Financial Services

STNC
6.3%
IQM

-

Communication Services

STNC
6.2%
IQM
1.1%

Utilities

STNC
4.6%
IQM
3.5%

Basic Materials

STNC
3.5%
IQM

-

Real Estate

STNC
3.0%
IQM

-

Energy

STNC

-

IQM
3.1%

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Return for Risk

STNC vs. IQM — Risk / Return Rank

Compare historical risk-adjusted metric ranks over the past 12 months.

STNC
STNC Risk / Return Rank: 5858
Overall Rank
STNC Sharpe Ratio Rank: 5454
Sharpe Ratio Rank
STNC Sortino Ratio Rank: 5858
Sortino Ratio Rank
STNC Omega Ratio Rank: 5050
Omega Ratio Rank
STNC Calmar Ratio Rank: 6868
Calmar Ratio Rank
STNC Martin Ratio Rank: 6060
Martin Ratio Rank

IQM
IQM Risk / Return Rank: 3535
Overall Rank
IQM Sharpe Ratio Rank: 3434
Sharpe Ratio Rank
IQM Sortino Ratio Rank: 3333
Sortino Ratio Rank
IQM Omega Ratio Rank: 3535
Omega Ratio Rank
IQM Calmar Ratio Rank: 3434
Calmar Ratio Rank
IQM Martin Ratio Rank: 4242
Martin Ratio Rank
The rank (0–100) uses a weighted average of the Sharpe, Sortino, Omega, Calmar, and Martin percentile ranks for the trailing 12 months. Higher means stronger historical risk-adjusted performance within the peer group.

STNC vs. IQM - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for Hennessy Stance ESG ETF (STNC) 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.

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.


STNCIQMDifference
Sharpe ratioReturn per unit of total volatility

+0.49

Sortino ratioReturn per unit of downside risk

+0.72

Omega ratioGain probability vs. loss probability

1.23

1.16

+0.06

Calmar ratioReturn relative to maximum drawdown

2.39

1.18

+1.20

Martin ratioReturn relative to average drawdown

7.25

4.54

+2.71

STNC vs. IQM - Sharpe Ratio Comparison

The current STNC Sharpe Ratio is 1.32, which is higher than the IQM Sharpe Ratio of 0.83. The chart below compares the historical Sharpe Ratios of STNC 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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Drawdowns

STNC vs. IQM - Drawdown Comparison

The maximum STNC drawdown since its inception was -22.33%, smaller than the maximum IQM drawdown of -44.91%. Use the drawdown chart below to compare losses from any high point for STNC and IQM.


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Drawdown Indicators


STNCIQMDifference

Max Drawdown

Largest peak-to-trough decline

-22.33%

-44.91%

+22.58%

Max Drawdown (1Y)

Largest decline over 1 year

-8.09%

-25.28%

+17.19%

Max Drawdown (3Y)

Largest decline over 3 years

-17.90%

-30.42%

+12.52%

Max Drawdown (5Y)

Largest decline over 5 years

-22.33%

-44.91%

+22.58%

Current Drawdown

Current decline from peak

-4.06%

-18.62%

+14.56%

Average Drawdown

Average peak-to-trough decline

-5.82%

-12.19%

+6.37%

Ulcer Index

Depth and duration of drawdowns from previous peaks

2.66%

6.58%

-3.92%

Volatility

STNC vs. IQM - Volatility Comparison

The current volatility for Hennessy Stance ESG ETF (STNC) is 3.41%, while Franklin Intelligent Machines ETF (IQM) has a volatility of 16.22%. This indicates that STNC 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


STNCIQMDifference

Volatility (1M)

Calculated over the trailing 1-month period

3.41%

16.22%

-12.81%

Volatility (6M)

Calculated over the trailing 6-month period

12.08%

31.20%

-19.12%

Volatility (1Y)

Calculated over the trailing 1-year period

14.71%

36.13%

-21.42%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

15.74%

30.62%

-14.88%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

15.46%

31.69%

-16.23%

STNC vs. IQM - Expense Ratio Comparison

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


Dividends

STNC vs. IQM - Dividend Comparison

STNC's dividend yield for the trailing twelve months is around 0.91%, while IQM has not paid dividends to shareholders.


PositionTTM202520242023202220212020
IQM
Franklin Intelligent Machines ETF
0.00%0.00%0.00%0.00%0.00%0.17%0.01%
STNC
Hennessy Stance ESG ETF
0.91%1.02%0.96%0.08%0.58%0.41%0.00%

Frequently Asked Questions


STNC and IQM have a correlation of 0.59, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

IQM has higher volatility (16.22%) compared to STNC (3.41%). In terms of maximum drawdown, STNC dropped -22.33% vs IQM's -44.91%.

On 5-year performance, IQM leads with 15.91% vs 7.12% for STNC. On fees, IQM is cheaper at 0.50% per year. On volatility, STNC has been the lower-risk option at 3.41%. 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 15.91% return vs 7.12%. 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 STNC.

STNC has the higher dividend yield at 0.91%, compared with 0.00% for IQM.

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

STNC currently has the higher Sharpe Ratio (1.32 vs 0.83), 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

Find the right allocation for STNC and IQM

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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