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VFMO vs. SEIM
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

VFMO vs. SEIM - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in Vanguard U.S. Momentum Factor ETF (VFMO) and SEI QiM U.S. Large Cap Momentum Active ETF (SEIM). The values are adjusted to include any dividend payments, if applicable.

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Returns By Period

In the year-to-date period, VFMO achieves a 22.74% return, which is significantly higher than SEIM's 20.27% return.


VFMO

1D
3.23%
1M
-0.92%
6M
13.59%
YTD
22.74%
1Y
33.91%
3Y*
25.40%
5Y*
13.53%
10Y*
ALL TIME*
15.04%

SEIM

1D
2.77%
1M
2.11%
6M
15.75%
YTD
20.27%
1Y
28.83%
3Y*
28.92%
5Y*
10Y*
ALL TIME*
20.66%
*Multi-year figures are annualized to reflect compound growth (CAGR)

Liquidity Comparison


PositionAvg. Volume Value (2W)Avg. Volume Value (1M)Avg. Volume Value (3M)
$5.90M$6.85M$5.18M
$17.21M$17.43M$17.03M

VFMO vs. SEIM - Yearly Performance Comparison


2026 (YTD)2025202420232022
VFMO
Vanguard U.S. Momentum Factor ETF
22.74%17.39%26.14%16.25%-0.79%
SEIM
SEI QiM U.S. Large Cap Momentum Active ETF
20.27%20.20%39.12%16.25%-5.62%

Correlation

The correlation between VFMO and SEIM is 0.89, meaning they have usually moved in the same direction, including during past declines.


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

0.89

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

0.89

Correlation (All Time)
Calculated using the full available price history since May 18, 2022

0.89

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

VFMO vs. SEIM - Sectors Allocation Comparison


Sectors
VFMO
SEIM

Industrials

24.7%
3.4%

Healthcare

22.9%
9.5%

Technology

17.5%
29.5%

Consumer Cyclical

8.7%
7.2%

Energy

7.3%
11.8%

Financial Services

6.5%
8.1%

Basic Materials

6.4%
8.1%

Communication Services

3.4%
4.4%

Consumer Defensive

2.5%
7.9%

Utilities

0.2%
2.4%

Real Estate

0.1%
7.2%

Industrials

VFMO
24.7%
SEIM
3.4%

Healthcare

VFMO
22.9%
SEIM
9.5%

Technology

VFMO
17.5%
SEIM
29.5%

Consumer Cyclical

VFMO
8.7%
SEIM
7.2%

Energy

VFMO
7.3%
SEIM
11.8%

Financial Services

VFMO
6.5%
SEIM
8.1%

Basic Materials

VFMO
6.4%
SEIM
8.1%

Communication Services

VFMO
3.4%
SEIM
4.4%

Consumer Defensive

VFMO
2.5%
SEIM
7.9%

Utilities

VFMO
0.2%
SEIM
2.4%

Real Estate

VFMO
0.1%
SEIM
7.2%

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Return for Risk

VFMO vs. SEIM — Risk / Return Rank

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

VFMO
VFMO Risk / Return Rank: 5555
Overall Rank
VFMO Sharpe Ratio Rank: 5050
Sharpe Ratio Rank
VFMO Sortino Ratio Rank: 4848
Sortino Ratio Rank
VFMO Omega Ratio Rank: 4747
Omega Ratio Rank
VFMO Calmar Ratio Rank: 6262
Calmar Ratio Rank
VFMO Martin Ratio Rank: 6666
Martin Ratio Rank

SEIM
SEIM Risk / Return Rank: 6363
Overall Rank
SEIM Sharpe Ratio Rank: 5757
Sharpe Ratio Rank
SEIM Sortino Ratio Rank: 5656
Sortino Ratio Rank
SEIM Omega Ratio Rank: 5454
Omega Ratio Rank
SEIM Calmar Ratio Rank: 7373
Calmar Ratio Rank
SEIM Martin Ratio Rank: 7474
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.

VFMO vs. SEIM - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for Vanguard U.S. Momentum Factor ETF (VFMO) and SEI QiM U.S. Large Cap Momentum Active ETF (SEIM). 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.


VFMOSEIMDifference
Sharpe ratioReturn per unit of total volatility

-0.14

Sortino ratioReturn per unit of downside risk

-0.23

Omega ratioGain probability vs. loss probability

1.25

1.27

-0.02

Calmar ratioReturn relative to maximum drawdown

2.44

2.88

-0.44

Martin ratioReturn relative to average drawdown

8.91

10.42

-1.51

VFMO vs. SEIM - Sharpe Ratio Comparison

The current VFMO Sharpe Ratio is 1.41, which is comparable to the SEIM Sharpe Ratio of 1.55. The chart below compares the historical Sharpe Ratios of VFMO and SEIM, 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

VFMO vs. SEIM - Drawdown Comparison

The maximum VFMO drawdown since its inception was -36.77%, which is greater than SEIM's maximum drawdown of -22.17%. Use the drawdown chart below to compare losses from any high point for VFMO and SEIM.


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Drawdown Indicators


VFMOSEIMDifference

Max Drawdown

Largest peak-to-trough decline

-36.77%

-22.17%

-14.60%

Max Drawdown (1Y)

Largest decline over 1 year

-13.97%

-10.07%

-3.90%

Max Drawdown (3Y)

Largest decline over 3 years

-24.40%

-22.17%

-2.23%

Max Drawdown (5Y)

Largest decline over 5 years

-25.80%

Current Drawdown

Current decline from peak

-6.21%

-1.38%

-4.83%

Average Drawdown

Average peak-to-trough decline

-7.71%

-3.96%

-3.75%

Ulcer Index

Depth and duration of drawdowns from previous peaks

3.82%

2.78%

+1.04%

Volatility

VFMO vs. SEIM - Volatility Comparison

Vanguard U.S. Momentum Factor ETF (VFMO) has a higher volatility of 9.25% compared to SEI QiM U.S. Large Cap Momentum Active ETF (SEIM) at 6.85%. This indicates that VFMO's price experiences larger fluctuations and is considered to be riskier than SEIM based on this measure. The chart below showcases a comparison of their rolling one-month volatility.


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Volatility by Period


VFMOSEIMDifference

Volatility (1M)

Calculated over the trailing 1-month period

9.25%

6.85%

+2.40%

Volatility (6M)

Calculated over the trailing 6-month period

19.56%

15.78%

+3.78%

Volatility (1Y)

Calculated over the trailing 1-year period

24.20%

18.78%

+5.42%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

22.17%

19.22%

+2.95%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

23.75%

19.22%

+4.53%

VFMO vs. SEIM - Expense Ratio Comparison

VFMO has a 0.13% expense ratio, which is lower than SEIM's 0.15% expense ratio. Despite the difference, both funds are considered low-cost compared to the broader market, where average expense ratios usually range from 0.3% to 0.9%.


Dividends

VFMO vs. SEIM - Dividend Comparison

VFMO's dividend yield for the trailing twelve months is around 0.60%, more than SEIM's 0.53% yield.


PositionTTM20252024202320222021202020192018
SEIM
SEI QiM U.S. Large Cap Momentum Active ETF
0.53%0.56%0.48%0.89%1.01%0.00%0.00%0.00%0.00%
VFMO
Vanguard U.S. Momentum Factor ETF
0.60%0.82%0.72%0.89%1.72%0.81%0.45%1.22%0.70%

Frequently Asked Questions


VFMO and SEIM have a correlation of 0.89, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

VFMO has higher volatility (9.25%) compared to SEIM (6.85%). In terms of maximum drawdown, VFMO dropped -36.77% vs SEIM's -22.17%.

On 3-year performance, SEIM leads with 28.92% vs 25.40% for VFMO. On fees, VFMO is cheaper at 0.13% per year. On volatility, SEIM has been the lower-risk option at 6.85%. The better choice depends on whether you care most about return, fees, risk, or income.

Over the 3-year period, SEIM has performed better with a 28.92% return vs 25.40%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.

VFMO is cheaper with a 0.13% expense ratio, compared with 0.15% for SEIM.

VFMO has the higher dividend yield at 0.60%, compared with 0.53% for SEIM.

They also come from different issuers: Vanguard and SEI. Their fees differ too: 0.13% for VFMO and 0.15% for SEIM.

SEIM currently has the higher Sharpe Ratio (1.55 vs 1.41), 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 VFMO and SEIM

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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