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BAI vs. IQM
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

BAI vs. IQM - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in iShares A.I. Innovation and Tech Active ETF (BAI) 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, BAI achieves a 49.94% return, which is significantly higher than IQM's 35.15% return.


BAI

1D
-7.93%
1M
4.43%
YTD
49.94%
6M
47.29%
1Y
86.14%
3Y*
5Y*
10Y*

IQM

1D
-6.20%
1M
3.59%
YTD
35.15%
6M
31.71%
1Y
66.07%
3Y*
35.52%
5Y*
20.13%
10Y*
*Multi-year figures are annualized to reflect compound growth (CAGR)

BAI vs. IQM - Yearly Performance Comparison


2026 (YTD)20252024
BAI
iShares A.I. Innovation and Tech Active ETF
49.94%25.22%8.89%
IQM
Franklin Intelligent Machines ETF
35.15%30.76%4.61%

Correlation

The correlation between BAI and IQM is 0.91, 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

0.91

Correlation (All Time)
Calculated using the full available price history since Oct 22, 2024

0.92

The correlation between BAI and IQM has been stable across timeframes, ranging from 0.91 to 0.92 - a consistent structural relationship.

BAI vs. IQM - Sectors Allocation Comparison


Sectors
BAI
IQM

Technology

88.8%
68.4%

Industrials

4.6%
17.1%

Communication Services

3.9%
2.3%

Consumer Cyclical

2.6%
2.9%

Healthcare

0.7%
1.0%

Basic Materials

-

-

Consumer Defensive

-

-

Energy

-

2.3%

Financial Services

-

-

Real Estate

-

-

Utilities

-

3.2%

Technology

BAI
88.8%
IQM
68.4%

Industrials

BAI
4.6%
IQM
17.1%

Communication Services

BAI
3.9%
IQM
2.3%

Consumer Cyclical

BAI
2.6%
IQM
2.9%

Healthcare

BAI
0.7%
IQM
1.0%

Basic Materials

BAI

-

IQM

-

Consumer Defensive

BAI

-

IQM

-

Energy

BAI

-

IQM
2.3%

Financial Services

BAI

-

IQM

-

Real Estate

BAI

-

IQM

-

Utilities

BAI

-

IQM
3.2%

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Return for Risk

BAI vs. IQM — Risk / Return Rank

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

BAI
BAI Risk / Return Rank: 7474
Overall Rank
BAI Sharpe Ratio Rank: 7777
Sharpe Ratio Rank
BAI Sortino Ratio Rank: 6060
Sortino Ratio Rank
BAI Omega Ratio Rank: 6565
Omega Ratio Rank
BAI Calmar Ratio Rank: 9090
Calmar Ratio Rank
BAI Martin Ratio Rank: 7777
Martin Ratio Rank

IQM
IQM Risk / Return Rank: 7070
Overall Rank
IQM Sharpe Ratio Rank: 6969
Sharpe Ratio Rank
IQM Sortino Ratio Rank: 5555
Sortino Ratio Rank
IQM Omega Ratio Rank: 6161
Omega Ratio Rank
IQM Calmar Ratio Rank: 8686
Calmar Ratio Rank
IQM Martin Ratio Rank: 7777
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.

BAI vs. IQM - Risk-Adjusted Trends Comparison

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


BAIIQMDifference
Sharpe ratioReturn per unit of total volatility

+0.21

Sortino ratioReturn per unit of downside risk

+0.19

Omega ratioGain probability vs. loss probability

1.37

1.35

+0.02

Calmar ratioReturn relative to maximum drawdown

5.34

4.52

+0.82

Martin ratioReturn relative to average drawdown

14.08

14.13

-0.04

BAI vs. IQM - Sharpe Ratio Comparison

The current BAI Sharpe Ratio is 2.32, which is comparable to the IQM Sharpe Ratio of 2.11. The chart below compares the historical Sharpe Ratios of BAI 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

BAI vs. IQM - Drawdown Comparison

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


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Drawdown Indicators


BAIIQMDifference

Max Drawdown

Largest peak-to-trough decline

-34.09%

-44.91%

+10.82%

Max Drawdown (1Y)

Largest decline over 1 year

-16.22%

-14.71%

-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

-7.93%

-6.20%

-1.73%

Average Drawdown

Average peak-to-trough decline

-6.87%

-12.18%

+5.31%

Ulcer Index

Depth and duration of drawdowns from previous peaks

6.14%

4.69%

+1.45%

Volatility

BAI vs. IQM - Volatility Comparison

iShares A.I. Innovation and Tech Active ETF (BAI) has a higher volatility of 20.05% compared to Franklin Intelligent Machines ETF (IQM) at 15.34%. This indicates that BAI's price experiences larger fluctuations and is considered to be riskier 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


BAIIQMDifference

Volatility (1M)

Calculated over the trailing 1-month period

20.05%

15.34%

+4.71%

Volatility (6M)

Calculated over the trailing 6-month period

31.41%

26.16%

+5.25%

Volatility (1Y)

Calculated over the trailing 1-year period

37.30%

31.47%

+5.83%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

37.40%

29.56%

+7.84%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

37.40%

31.10%

+6.30%

BAI vs. IQM - Expense Ratio Comparison

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


Dividends

BAI vs. IQM - Dividend Comparison

BAI's dividend yield for the trailing twelve months is around 1.19%, while IQM has not paid dividends to shareholders.


PositionTTM202520242023202220212020
BAI
iShares A.I. Innovation and Tech Active ETF
1.19%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 0.91, BAI and IQM 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 (20.05%) compared to IQM (15.34%). In terms of maximum drawdown, BAI dropped -34.09% vs IQM's -44.91%.

On 1-year performance, BAI leads with 86.14% vs 66.07% for IQM. On fees, IQM is cheaper at 0.50% per year. On volatility, IQM has been the lower-risk option at 15.34%. 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 86.14% return vs 66.07%. 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 1.19%, compared with 0.00% for IQM.

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

BAI currently has the higher Sharpe Ratio (2.32 vs 2.11), 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 BAI 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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