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SELV vs. BAI
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

SELV vs. BAI - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in SEI Enhanced Low Volatility US Large Cap ETF (SELV) 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, SELV achieves a 3.81% return, which is significantly lower than BAI's 43.27% return.


SELV

1D
0.24%
1M
1.03%
6M
3.14%
YTD
3.81%
1Y
9.80%
3Y*
11.13%
5Y*
10Y*

BAI

1D
-0.71%
1M
-2.51%
6M
38.97%
YTD
43.27%
1Y
68.60%
3Y*
5Y*
10Y*
*Multi-year figures are annualized to reflect compound growth (CAGR)

SELV vs. BAI - Yearly Performance Comparison


2026 (YTD)20252024
SELV
SEI Enhanced Low Volatility US Large Cap ETF
3.81%12.86%-1.56%
BAI
iShares A.I. Innovation and Tech Active ETF
43.27%25.22%8.89%

Correlation

The correlation between SELV and BAI is -0.14, meaning they tend to move in opposite directions. This is especially valuable for risk management - when one declines, the other has historically tended to hold steady or rise.


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

-0.14

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

0.07

The correlation between SELV and BAI shifts across timeframes, from -0.14 (1 year) to 0.07 (all time), reflecting how their relationship changes across market environments.

SELV vs. BAI - Sectors Allocation Comparison


Sectors
SELV
BAI

Technology

21.4%
89.0%

Healthcare

17.0%
0.7%

Communication Services

15.8%
3.8%

Consumer Defensive

12.3%

-

Utilities

7.6%

-

Industrials

7.5%
4.6%

Consumer Cyclical

4.9%
2.7%

Financial Services

4.8%

-

Energy

4.3%

-

Basic Materials

2.8%

-

Real Estate

0.1%

-

Technology

SELV
21.4%
BAI
89.0%

Healthcare

SELV
17.0%
BAI
0.7%

Communication Services

SELV
15.8%
BAI
3.8%

Consumer Defensive

SELV
12.3%
BAI

-

Utilities

SELV
7.6%
BAI

-

Industrials

SELV
7.5%
BAI
4.6%

Consumer Cyclical

SELV
4.9%
BAI
2.7%

Financial Services

SELV
4.8%
BAI

-

Energy

SELV
4.3%
BAI

-

Basic Materials

SELV
2.8%
BAI

-

Real Estate

SELV
0.1%
BAI

-

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Return for Risk

SELV vs. BAI — Risk / Return Rank

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

SELV
SELV Risk / Return Rank: 3333
Overall Rank
SELV Sharpe Ratio Rank: 3232
Sharpe Ratio Rank
SELV Sortino Ratio Rank: 3131
Sortino Ratio Rank
SELV Omega Ratio Rank: 2929
Omega Ratio Rank
SELV Calmar Ratio Rank: 3636
Calmar Ratio Rank
SELV Martin Ratio Rank: 3434
Martin Ratio Rank

BAI
BAI Risk / Return Rank: 6868
Overall Rank
BAI Sharpe Ratio Rank: 6565
Sharpe Ratio Rank
BAI Sortino Ratio Rank: 5555
Sortino Ratio Rank
BAI Omega Ratio Rank: 5959
Omega Ratio Rank
BAI Calmar Ratio Rank: 8989
Calmar Ratio Rank
BAI Martin Ratio Rank: 7171
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.

SELV vs. BAI - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for SEI Enhanced Low Volatility US Large Cap ETF (SELV) 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.

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.


SELVBAIDifference
Sharpe ratioReturn per unit of total volatility

-0.76

Sortino ratioReturn per unit of downside risk

-0.73

Omega ratioGain probability vs. loss probability

1.17

1.29

-0.12

Calmar ratioReturn relative to maximum drawdown

1.50

4.19

-2.69

Martin ratioReturn relative to average drawdown

4.00

10.34

-6.33

SELV vs. BAI - Sharpe Ratio Comparison

The current SELV Sharpe Ratio is 0.96, which is lower than the BAI Sharpe Ratio of 1.72. The chart below compares the historical Sharpe Ratios of SELV 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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Drawdowns

SELV vs. BAI - Drawdown Comparison

The maximum SELV drawdown since its inception was -13.73%, smaller than the maximum BAI drawdown of -34.09%. Use the drawdown chart below to compare losses from any high point for SELV and BAI.


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Drawdown Indicators


SELVBAIDifference

Max Drawdown

Largest peak-to-trough decline

-13.73%

-34.09%

+20.36%

Max Drawdown (1Y)

Largest decline over 1 year

-5.92%

-16.22%

+10.30%

Max Drawdown (3Y)

Largest decline over 3 years

-8.94%

Current Drawdown

Current decline from peak

-1.15%

-12.02%

+10.87%

Average Drawdown

Average peak-to-trough decline

-2.37%

-6.96%

+4.59%

Ulcer Index

Depth and duration of drawdowns from previous peaks

2.22%

6.55%

-4.33%

Volatility

SELV vs. BAI - Volatility Comparison

The current volatility for SEI Enhanced Low Volatility US Large Cap ETF (SELV) is 3.79%, while iShares A.I. Innovation and Tech Active ETF (BAI) has a volatility of 20.30%. This indicates that SELV 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


SELVBAIDifference

Volatility (1M)

Calculated over the trailing 1-month period

3.79%

20.30%

-16.51%

Volatility (6M)

Calculated over the trailing 6-month period

7.23%

34.02%

-26.79%

Volatility (1Y)

Calculated over the trailing 1-year period

9.25%

39.38%

-30.13%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

11.90%

38.25%

-26.35%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

11.90%

38.25%

-26.35%

SELV vs. BAI - Expense Ratio Comparison

SELV has a 0.15% expense ratio, which is lower than BAI's 0.55% expense ratio.


Dividends

SELV vs. BAI - Dividend Comparison

SELV's dividend yield for the trailing twelve months is around 1.72%, more than BAI's 1.24% yield.


PositionTTM2025202420232022
BAI
iShares A.I. Innovation and Tech Active ETF
1.24%1.80%0.00%0.00%0.00%
SELV
SEI Enhanced Low Volatility US Large Cap ETF
1.72%1.74%1.77%2.06%1.26%

Frequently Asked Questions


SELV and BAI have a correlation of -0.14, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

BAI has higher volatility (20.30%) compared to SELV (3.79%). In terms of maximum drawdown, SELV dropped -13.73% vs BAI's -34.09%.

On 1-year performance, BAI leads with 68.60% vs 9.80% for SELV. On fees, SELV is cheaper at 0.15% per year. On volatility, SELV has been the lower-risk option at 3.79%. 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 68.60% return vs 9.80%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.

SELV is cheaper with a 0.15% expense ratio, compared with 0.55% for BAI.

SELV has the higher dividend yield at 1.72%, compared with 1.24% for BAI.

SELV is categorized as Large Cap Blend Equities, while BAI is Technology Equities. They also come from different issuers: SEI and iShares. Their fees differ too: 0.15% for SELV and 0.55% for BAI.

BAI currently has the higher Sharpe Ratio (1.72 vs 0.96), 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 SELV and BAI

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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