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IQM vs. BAI
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

IQM vs. BAI - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in Franklin Intelligent Machines ETF (IQM) and iShares A.I. Innovation and Tech Active ETF (BAI). The values are adjusted to include any dividend payments, if applicable.

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Returns By Period

In the year-to-date period, IQM achieves a 40.18% return, which is significantly lower than BAI's 55.29% return.


IQM

1D
-0.37%
1M
11.94%
YTD
40.18%
6M
38.57%
1Y
75.07%
3Y*
37.62%
5Y*
22.22%
10Y*

BAI

1D
-0.40%
1M
18.14%
YTD
55.29%
6M
51.89%
1Y
97.95%
3Y*
5Y*
10Y*
*Multi-year figures are annualized to reflect compound growth (CAGR)

IQM vs. BAI - Yearly Performance Comparison


2026 (YTD)20252024
IQM
Franklin Intelligent Machines ETF
40.18%30.76%4.94%
BAI
iShares A.I. Innovation and Tech Active ETF
55.29%25.22%8.06%

Correlation

The correlation between IQM and BAI is 0.90, indicating a strong positive relationship between their price movements. Combining them offers limited diversification - they tend to fall together during downturns.


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

0.90

Correlation (All Time)
Calculated using the full available price history since Oct 23, 2024

0.92

The correlation between IQM and BAI has been stable across timeframes, ranging from 0.90 to 0.92 - a consistent structural relationship.

IQM vs. BAI - Sectors Allocation Comparison


Sectors
IQM
BAI

Technology

65.9%
83.2%

Industrials

19.9%
6.7%

Consumer Cyclical

4.1%
2.6%

Utilities

3.3%

-

Energy

2.7%

-

Communication Services

2.1%
6.8%

Healthcare

1.1%
0.7%

Basic Materials

-

-

Consumer Defensive

-

-

Financial Services

-

-

Real Estate

-

-

Technology

IQM
65.9%
BAI
83.2%

Industrials

IQM
19.9%
BAI
6.7%

Consumer Cyclical

IQM
4.1%
BAI
2.6%

Utilities

IQM
3.3%
BAI

-

Energy

IQM
2.7%
BAI

-

Communication Services

IQM
2.1%
BAI
6.8%

Healthcare

IQM
1.1%
BAI
0.7%

Basic Materials

IQM

-

BAI

-

Consumer Defensive

IQM

-

BAI

-

Financial Services

IQM

-

BAI

-

Real Estate

IQM

-

BAI

-

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Return for Risk

IQM vs. BAI — Risk / Return Rank

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

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

BAI
BAI Risk / Return Rank: 8282
Overall Rank
BAI Sharpe Ratio Rank: 8989
Sharpe Ratio Rank
BAI Sortino Ratio Rank: 7474
Sortino Ratio Rank
BAI Omega Ratio Rank: 7575
Omega Ratio Rank
BAI Calmar Ratio Rank: 9292
Calmar Ratio Rank
BAI Martin Ratio Rank: 8282
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.

IQM vs. BAI - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for Franklin Intelligent Machines ETF (IQM) and iShares A.I. Innovation and Tech Active ETF (BAI). 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.


IQMBAIDifference
Sharpe ratioReturn per unit of total volatility

-0.37

Sortino ratioReturn per unit of downside risk

-0.30

Omega ratioGain probability vs. loss probability

1.43

1.46

-0.03

Calmar ratioReturn relative to maximum drawdown

5.13

6.07

-0.94

Martin ratioReturn relative to average drawdown

16.79

16.57

+0.22

IQM vs. BAI - Sharpe Ratio Comparison

The current IQM Sharpe Ratio is 2.67, which is comparable to the BAI Sharpe Ratio of 3.04. The chart below compares the historical Sharpe Ratios of IQM and BAI, 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


IQMBAIDifference

Sharpe Ratio (1Y)

Calculated over the trailing 1-year period

2.67

3.04

-0.37

Sharpe Ratio (5Y)

Calculated over the trailing 5-year period

0.77

Sharpe Ratio (All Time)

Calculated using the full available price history

0.96

1.69

-0.72

Drawdowns

IQM vs. BAI - Drawdown Comparison

The maximum IQM drawdown since its inception was -44.91%, which is greater than BAI's maximum drawdown of -34.09%. Use the drawdown chart below to compare losses from any high point for IQM and BAI.


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Drawdown Indicators


IQMBAIDifference

Max Drawdown

Largest peak-to-trough decline

-44.91%

-34.09%

-10.82%

Max Drawdown (1Y)

Largest decline over 1 year

-14.71%

-16.22%

+1.51%

Max Drawdown (3Y)

Largest decline over 3 years

-30.42%

Max Drawdown (5Y)

Largest decline over 5 years

-44.91%

Current Drawdown

Current decline from peak

-0.37%

-0.40%

+0.03%

Average Drawdown

Average peak-to-trough decline

-12.25%

-6.93%

-5.32%

Ulcer Index

Depth and duration of drawdowns from previous peaks

4.49%

5.93%

-1.44%

Volatility

IQM vs. BAI - Volatility Comparison

The current volatility for Franklin Intelligent Machines ETF (IQM) is 9.20%, while iShares A.I. Innovation and Tech Active ETF (BAI) has a volatility of 11.32%. This indicates that IQM experiences smaller price fluctuations and is considered to be less risky than BAI based on this measure. The chart below showcases a comparison of their rolling one-month volatility.


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Volatility by Period


IQMBAIDifference

Volatility (1M)

Calculated over the trailing 1-month period

9.20%

11.32%

-2.12%

Volatility (6M)

Calculated over the trailing 6-month period

22.92%

26.16%

-3.24%

Volatility (1Y)

Calculated over the trailing 1-year period

28.27%

32.43%

-4.16%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

28.91%

35.06%

-6.15%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

30.72%

35.06%

-4.34%

IQM vs. BAI - Expense Ratio Comparison

IQM has a 0.50% expense ratio, which is lower than BAI's 0.55% expense ratio.


Dividends

IQM vs. BAI - Dividend Comparison

IQM has not paid dividends to shareholders, while BAI's dividend yield for the trailing twelve months is around 1.16%.


PositionTTM202520242023202220212020
BAI
iShares A.I. Innovation and Tech Active ETF
1.16%1.80%0.00%0.00%0.00%0.00%0.00%
IQM
Franklin Intelligent Machines ETF
0.00%0.00%0.00%0.00%0.00%0.17%0.01%

Frequently Asked Questions


With a correlation of 0.90, IQM and BAI move almost identically. Holding both adds very little diversification - you're essentially doubling your position in the same market segment. Choosing one is usually more capital-efficient.

BAI has higher volatility (11.32%) compared to IQM (9.20%). In terms of maximum drawdown, IQM dropped -44.91% vs BAI's -34.09%.

On 1-year performance, BAI leads with 97.95% vs 75.07% for IQM. On fees, IQM is cheaper at 0.50% per year. On volatility, IQM has been the lower-risk option at 9.20%. The better choice depends on whether you care most about return, fees, risk, or income.

Over the 1-year period, BAI has performed better with a 97.95% return vs 75.07%. 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 0.55% for BAI.

BAI has the higher dividend yield at 1.16%, compared with 0.00% for IQM.

IQM is categorized as Large Cap Growth Equities, while BAI is Technology Equities. They also come from different issuers: Franklin Templeton and iShares. Their fees differ too: 0.50% for IQM and 0.55% for BAI.

BAI currently has the higher Sharpe Ratio (3.04 vs 2.67), 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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