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SAMM vs. VFMO
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

SAMM vs. VFMO - Performance Comparison

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

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Returns By Period

In the year-to-date period, SAMM achieves a 6.77% return, which is significantly lower than VFMO's 25.32% return.


SAMM

1D
-1.42%
1M
0.09%
YTD
6.77%
6M
4.99%
1Y
19.53%
3Y*
5Y*
10Y*

VFMO

1D
-0.42%
1M
4.25%
YTD
25.32%
6M
21.76%
1Y
41.57%
3Y*
27.70%
5Y*
13.88%
10Y*
*Multi-year figures are annualized to reflect compound growth (CAGR)

SAMM vs. VFMO - Yearly Performance Comparison


2026 (YTD)20252024
SAMM
Strategas Macro Momentum ETF
6.77%12.01%8.32%
VFMO
Vanguard U.S. Momentum Factor ETF
25.32%17.39%10.29%

Correlation

The correlation between SAMM and VFMO is 0.87, 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

0.87

Correlation (All Time)
Calculated using the full available price history since Apr 4, 2024

0.88

The correlation between SAMM and VFMO has been stable across timeframes, ranging from 0.87 to 0.88 - a consistent structural relationship.

SAMM vs. VFMO - Sectors Allocation Comparison


Sectors
SAMM
VFMO

Industrials

22.3%
24.7%

Technology

19.7%
17.5%

Basic Materials

14.3%
6.4%

Healthcare

9.9%
22.9%

Consumer Cyclical

9.7%
8.7%

Financial Services

8.9%
6.5%

Energy

8.7%
7.3%

Utilities

3.3%
0.2%

Communication Services

3.2%
3.4%

Consumer Defensive

2.8%
2.5%

Real Estate

-

0.1%

Industrials

SAMM
22.3%
VFMO
24.7%

Technology

SAMM
19.7%
VFMO
17.5%

Basic Materials

SAMM
14.3%
VFMO
6.4%

Healthcare

SAMM
9.9%
VFMO
22.9%

Consumer Cyclical

SAMM
9.7%
VFMO
8.7%

Financial Services

SAMM
8.9%
VFMO
6.5%

Energy

SAMM
8.7%
VFMO
7.3%

Utilities

SAMM
3.3%
VFMO
0.2%

Communication Services

SAMM
3.2%
VFMO
3.4%

Consumer Defensive

SAMM
2.8%
VFMO
2.5%

Real Estate

SAMM

-

VFMO
0.1%

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Return for Risk

SAMM vs. VFMO — Risk / Return Rank

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

SAMM
SAMM Risk / Return Rank: 4040
Overall Rank
SAMM Sharpe Ratio Rank: 3232
Sharpe Ratio Rank
SAMM Sortino Ratio Rank: 3030
Sortino Ratio Rank
SAMM Omega Ratio Rank: 3131
Omega Ratio Rank
SAMM Calmar Ratio Rank: 5454
Calmar Ratio Rank
SAMM Martin Ratio Rank: 5050
Martin Ratio Rank

VFMO
VFMO Risk / Return Rank: 6868
Overall Rank
VFMO Sharpe Ratio Rank: 6363
Sharpe Ratio Rank
VFMO Sortino Ratio Rank: 5858
Sortino Ratio Rank
VFMO Omega Ratio Rank: 5858
Omega Ratio Rank
VFMO Calmar Ratio Rank: 8080
Calmar Ratio Rank
VFMO Martin Ratio Rank: 8080
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.

SAMM vs. VFMO - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for Strategas Macro Momentum ETF (SAMM) and Vanguard U.S. Momentum Factor ETF (VFMO). 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.


SAMMVFMODifference
Sharpe ratioReturn per unit of total volatility

-0.82

Sortino ratioReturn per unit of downside risk

-0.96

Omega ratioGain probability vs. loss probability

1.19

1.32

-0.13

Calmar ratioReturn relative to maximum drawdown

2.33

3.80

-1.47

Martin ratioReturn relative to average drawdown

7.52

14.13

-6.61

SAMM vs. VFMO - Sharpe Ratio Comparison

The current SAMM Sharpe Ratio is 1.05, which is lower than the VFMO Sharpe Ratio of 1.87. The chart below compares the historical Sharpe Ratios of SAMM and VFMO, 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

SAMM vs. VFMO - Drawdown Comparison

The maximum SAMM drawdown since its inception was -24.09%, smaller than the maximum VFMO drawdown of -36.77%. Use the drawdown chart below to compare losses from any high point for SAMM and VFMO.


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Drawdown Indicators


SAMMVFMODifference

Max Drawdown

Largest peak-to-trough decline

-24.09%

-36.77%

+12.68%

Max Drawdown (1Y)

Largest decline over 1 year

-8.43%

-10.98%

+2.55%

Max Drawdown (3Y)

Largest decline over 3 years

-24.40%

Max Drawdown (5Y)

Largest decline over 5 years

-25.80%

Current Drawdown

Current decline from peak

-5.58%

-2.72%

-2.86%

Average Drawdown

Average peak-to-trough decline

-4.37%

-7.72%

+3.35%

Ulcer Index

Depth and duration of drawdowns from previous peaks

2.60%

2.95%

-0.35%

Volatility

SAMM vs. VFMO - Volatility Comparison

Strategas Macro Momentum ETF (SAMM) and Vanguard U.S. Momentum Factor ETF (VFMO) have volatilities of 8.75% and 8.35%, respectively, indicating that both stocks experience similar levels of price fluctuations. This suggests that the risk associated with both stocks, as measured by volatility, is nearly the same. The chart below showcases a comparison of their rolling one-month volatility.


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Volatility by Period


SAMMVFMODifference

Volatility (1M)

Calculated over the trailing 1-month period

8.75%

8.35%

+0.40%

Volatility (6M)

Calculated over the trailing 6-month period

14.84%

17.38%

-2.54%

Volatility (1Y)

Calculated over the trailing 1-year period

18.74%

22.32%

-3.58%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

19.39%

21.89%

-2.50%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

19.39%

23.63%

-4.24%

SAMM vs. VFMO - Expense Ratio Comparison

SAMM has a 0.66% expense ratio, which is higher than VFMO's 0.13% expense ratio.


Dividends

SAMM vs. VFMO - Dividend Comparison

SAMM's dividend yield for the trailing twelve months is around 0.97%, more than VFMO's 0.39% yield.


PositionTTM20252024202320222021202020192018
SAMM
Strategas Macro Momentum ETF
0.97%1.03%0.70%0.00%0.00%0.00%0.00%0.00%0.00%
VFMO
Vanguard U.S. Momentum Factor ETF
0.39%0.82%0.72%0.89%1.72%0.81%0.45%1.22%0.70%

Frequently Asked Questions


SAMM and VFMO have a correlation of 0.87, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

SAMM has higher volatility (8.75%) compared to VFMO (8.35%). In terms of maximum drawdown, SAMM dropped -24.09% vs VFMO's -36.77%.

On 1-year performance, VFMO leads with 41.57% vs 19.53% for SAMM. On fees, VFMO is cheaper at 0.13% per year. On volatility, VFMO has been the lower-risk option at 8.35%. The better choice depends on whether you care most about return, fees, risk, or income.

Over the 1-year period, VFMO has performed better with a 41.57% return vs 19.53%. 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 0.66% for SAMM.

SAMM has the higher dividend yield at 0.97%, compared with 0.39% for VFMO.

They also come from different issuers: Strategas and Vanguard. Their fees differ too: 0.66% for SAMM and 0.13% for VFMO.

VFMO currently has the higher Sharpe Ratio (1.87 vs 1.05), 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 SAMM and VFMO

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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