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MODL vs. SELV
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

MODL vs. SELV - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in Victoryshares Westend U.S. Sector ETF (MODL) and SEI Enhanced Low Volatility US Large Cap ETF (SELV). The values are adjusted to include any dividend payments, if applicable.

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Returns By Period

In the year-to-date period, MODL achieves a 8.54% return, which is significantly higher than SELV's 4.65% return.


MODL

1D
-0.60%
1M
2.21%
6M
7.17%
YTD
8.54%
1Y
19.89%
3Y*
18.92%
5Y*
10Y*

SELV

1D
0.81%
1M
1.85%
6M
3.60%
YTD
4.65%
1Y
10.70%
3Y*
11.44%
5Y*
10Y*
*Multi-year figures are annualized to reflect compound growth (CAGR)

MODL vs. SELV - Yearly Performance Comparison


2026 (YTD)2025202420232022
MODL
Victoryshares Westend U.S. Sector ETF
8.54%18.99%24.73%23.74%6.45%
SELV
SEI Enhanced Low Volatility US Large Cap ETF
4.65%12.86%14.71%6.58%11.78%

Correlation

The correlation between MODL and SELV is 0.36, which is low. Their price movements are largely independent, making them effective diversification partners.


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

0.36

Correlation (3Y)
Calculated over the trailing 3-year period

0.60

Correlation (All Time)
Calculated using the full available price history since Oct 12, 2022

0.67

Over the past year, the correlation between MODL and SELV has dropped to 0.36 - well below their long-term average of 0.67, suggesting their price drivers have been diverging.

MODL vs. SELV - Sectors Allocation Comparison


Sectors
MODL
SELV

Technology

32.7%
21.4%

Financial Services

19.5%
4.8%

Healthcare

17.9%
17.0%

Communication Services

10.4%
15.8%

Consumer Cyclical

5.3%
4.9%

Utilities

4.8%
7.6%

Basic Materials

4.5%
2.8%

Industrials

4.4%
7.5%

Energy

0.0%
4.3%

Consumer Defensive

0.0%
12.3%

Real Estate

-

0.1%

Technology

MODL
32.7%
SELV
21.4%

Financial Services

MODL
19.5%
SELV
4.8%

Healthcare

MODL
17.9%
SELV
17.0%

Communication Services

MODL
10.4%
SELV
15.8%

Consumer Cyclical

MODL
5.3%
SELV
4.9%

Utilities

MODL
4.8%
SELV
7.6%

Basic Materials

MODL
4.5%
SELV
2.8%

Industrials

MODL
4.4%
SELV
7.5%

Energy

MODL
0.0%
SELV
4.3%

Consumer Defensive

MODL
0.0%
SELV
12.3%

Real Estate

MODL

-

SELV
0.1%

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Return for Risk

MODL vs. SELV — Risk / Return Rank

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

MODL
MODL Risk / Return Rank: 6363
Overall Rank
MODL Sharpe Ratio Rank: 6666
Sharpe Ratio Rank
MODL Sortino Ratio Rank: 6666
Sortino Ratio Rank
MODL Omega Ratio Rank: 6565
Omega Ratio Rank
MODL Calmar Ratio Rank: 5353
Calmar Ratio Rank
MODL Martin Ratio Rank: 6565
Martin Ratio Rank

SELV
SELV Risk / Return Rank: 4141
Overall Rank
SELV Sharpe Ratio Rank: 4141
Sharpe Ratio Rank
SELV Sortino Ratio Rank: 4141
Sortino Ratio Rank
SELV Omega Ratio Rank: 3838
Omega Ratio Rank
SELV Calmar Ratio Rank: 4545
Calmar Ratio Rank
SELV Martin Ratio Rank: 3939
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.

MODL vs. SELV - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for Victoryshares Westend U.S. Sector ETF (MODL) and SEI Enhanced Low Volatility US Large Cap ETF (SELV). 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.


MODLSELVDifference
Sharpe ratioReturn per unit of total volatility

+0.56

Sortino ratioReturn per unit of downside risk

+0.72

Omega ratioGain probability vs. loss probability

1.31

1.20

+0.11

Calmar ratioReturn relative to maximum drawdown

2.11

1.81

+0.30

Martin ratioReturn relative to average drawdown

9.25

4.84

+4.41

MODL vs. SELV - Sharpe Ratio Comparison

The current MODL Sharpe Ratio is 1.72, which is higher than the SELV Sharpe Ratio of 1.16. The chart below compares the historical Sharpe Ratios of MODL and SELV, 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

MODL vs. SELV - Drawdown Comparison

The maximum MODL drawdown since its inception was -17.60%, which is greater than SELV's maximum drawdown of -13.73%. Use the drawdown chart below to compare losses from any high point for MODL and SELV.


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Drawdown Indicators


MODLSELVDifference

Max Drawdown

Largest peak-to-trough decline

-17.60%

-13.73%

-3.87%

Max Drawdown (1Y)

Largest decline over 1 year

-9.46%

-5.92%

-3.54%

Max Drawdown (3Y)

Largest decline over 3 years

-17.60%

-8.94%

-8.66%

Current Drawdown

Current decline from peak

-0.60%

-0.34%

-0.26%

Average Drawdown

Average peak-to-trough decline

-2.01%

-2.37%

+0.36%

Ulcer Index

Depth and duration of drawdowns from previous peaks

2.16%

2.21%

-0.05%

Volatility

MODL vs. SELV - Volatility Comparison

The current volatility for Victoryshares Westend U.S. Sector ETF (MODL) is 3.59%, while SEI Enhanced Low Volatility US Large Cap ETF (SELV) has a volatility of 3.86%. This indicates that MODL experiences smaller price fluctuations and is considered to be less risky than SELV based on this measure. The chart below showcases a comparison of their rolling one-month volatility.


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Volatility by Period


MODLSELVDifference

Volatility (1M)

Calculated over the trailing 1-month period

3.59%

3.86%

-0.27%

Volatility (6M)

Calculated over the trailing 6-month period

9.25%

7.24%

+2.01%

Volatility (1Y)

Calculated over the trailing 1-year period

11.65%

9.26%

+2.39%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

14.57%

11.90%

+2.67%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

14.57%

11.90%

+2.67%

MODL vs. SELV - Expense Ratio Comparison

MODL has a 0.46% expense ratio, which is higher than SELV's 0.15% expense ratio.


Dividends

MODL vs. SELV - Dividend Comparison

MODL's dividend yield for the trailing twelve months is around 0.69%, less than SELV's 1.71% yield.


PositionTTM2025202420232022
MODL
Victoryshares Westend U.S. Sector ETF
0.69%0.67%0.83%1.02%0.39%
SELV
SEI Enhanced Low Volatility US Large Cap ETF
1.71%1.74%1.77%2.06%1.26%

Frequently Asked Questions


MODL and SELV have a correlation of 0.36, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

SELV has higher volatility (3.86%) compared to MODL (3.59%). In terms of maximum drawdown, MODL dropped -17.60% vs SELV's -13.73%.

On 3-year performance, MODL leads with 18.92% vs 11.44% for SELV. On fees, SELV is cheaper at 0.15% per year. On volatility, MODL has been the lower-risk option at 3.59%. The better choice depends on whether you care most about return, fees, risk, or income.

Over the 3-year period, MODL has performed better with a 18.92% return vs 11.44%. 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 0.46% for MODL.

SELV has the higher dividend yield at 1.71%, compared with 0.69% for MODL.

They also come from different issuers: Victory and SEI. Their fees differ too: 0.46% for MODL and 0.15% for SELV.

MODL currently has the higher Sharpe Ratio (1.72 vs 1.16), 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 MODL and SELV

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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