PortfoliosLab logoPortfoliosLab logo
AAEQ vs. VMOT
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

AAEQ vs. VMOT - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in Alpha Architect US Equity 2 ETF (AAEQ) and Alpha Architect Value Momentum Trend ETF (VMOT). The values are adjusted to include any dividend payments, if applicable.

Loading charts...

Returns By Period

In the year-to-date period, AAEQ achieves a 8.91% return, which is significantly lower than VMOT's 17.28% return.


AAEQ

1D
-0.75%
1M
4.79%
YTD
8.91%
6M
1Y
3Y*
5Y*
10Y*

VMOT

1D
-0.37%
1M
3.80%
YTD
17.28%
6M
20.07%
1Y
34.59%
3Y*
19.57%
5Y*
6.94%
10Y*
*Multi-year figures are annualized to reflect compound growth (CAGR)

AAEQ vs. VMOT - Yearly Performance Comparison


Correlation

The correlation between AAEQ and VMOT is 0.73, which is moderate. They share some common price drivers but move independently often enough to provide real diversification benefit when combined.


Correlation
Correlation (All Time)
Calculated using the full available price history since Dec 11, 2025

0.73

AAEQ vs. VMOT - Sectors Allocation Comparison


Sectors
AAEQ
VMOT

Technology

35.9%
11.4%

Financial Services

11.8%
8.1%

Communication Services

11.7%
7.3%

Consumer Cyclical

10.3%
18.8%

Healthcare

8.6%
8.4%

Industrials

7.9%
19.9%

Consumer Defensive

4.4%
8.5%

Energy

3.8%
8.6%

Utilities

2.4%
3.3%

Basic Materials

1.7%
5.1%

Real Estate

1.5%
0.6%

Technology

AAEQ
35.9%
VMOT
11.4%

Financial Services

AAEQ
11.8%
VMOT
8.1%

Communication Services

AAEQ
11.7%
VMOT
7.3%

Consumer Cyclical

AAEQ
10.3%
VMOT
18.8%

Healthcare

AAEQ
8.6%
VMOT
8.4%

Industrials

AAEQ
7.9%
VMOT
19.9%

Consumer Defensive

AAEQ
4.4%
VMOT
8.5%

Energy

AAEQ
3.8%
VMOT
8.6%

Utilities

AAEQ
2.4%
VMOT
3.3%

Basic Materials

AAEQ
1.7%
VMOT
5.1%

Real Estate

AAEQ
1.5%
VMOT
0.6%

Compare stocks, funds, or ETFs

Search for stocks, ETFs, and funds for a quick comparison or use the comparison tool for more options.


Return for Risk

AAEQ vs. VMOT — Risk / Return Rank

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

AAEQ

VMOT
VMOT Risk / Return Rank: 6969
Overall Rank
VMOT Sharpe Ratio Rank: 6969
Sharpe Ratio Rank
VMOT Sortino Ratio Rank: 7070
Sortino Ratio Rank
VMOT Omega Ratio Rank: 6969
Omega Ratio Rank
VMOT Calmar Ratio Rank: 6565
Calmar Ratio Rank
VMOT 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.

AAEQ vs. VMOT - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for Alpha Architect US Equity 2 ETF (AAEQ) and Alpha Architect Value Momentum Trend ETF (VMOT). 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.


Risk / return metrics aren't available yet — we need at least 12 months of trading data to calculate them.

AAEQ vs. VMOT - Sharpe Ratio Comparison


Loading charts...

Sharpe Ratios by Period


AAEQVMOTDifference

Sharpe Ratio (1Y)

Calculated over the trailing 1-year period

2.28

Sharpe Ratio (5Y)

Calculated over the trailing 5-year period

0.44

Sharpe Ratio (All Time)

Calculated using the full available price history

1.09

0.35

+0.74

Drawdowns

AAEQ vs. VMOT - Drawdown Comparison

The maximum AAEQ drawdown since its inception was -10.26%, smaller than the maximum VMOT drawdown of -34.71%. Use the drawdown chart below to compare losses from any high point for AAEQ and VMOT.


Loading charts...

Drawdown Indicators


AAEQVMOTDifference

Max Drawdown

Largest peak-to-trough decline

-10.26%

-34.71%

+24.45%

Max Drawdown (1Y)

Largest decline over 1 year

-10.85%

Max Drawdown (3Y)

Largest decline over 3 years

-20.23%

Max Drawdown (5Y)

Largest decline over 5 years

-23.73%

Current Drawdown

Current decline from peak

-0.75%

-0.55%

-0.20%

Average Drawdown

Average peak-to-trough decline

-2.46%

-13.32%

+10.86%

Ulcer Index

Depth and duration of drawdowns from previous peaks

2.58%

Volatility

AAEQ vs. VMOT - Volatility Comparison


Loading charts...

Volatility by Period


AAEQVMOTDifference

Volatility (1M)

Calculated over the trailing 1-month period

5.00%

Volatility (6M)

Calculated over the trailing 6-month period

12.87%

Volatility (1Y)

Calculated over the trailing 1-year period

13.72%

15.26%

-1.54%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

13.72%

15.68%

-1.96%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

13.72%

14.90%

-1.18%

AAEQ vs. VMOT - Expense Ratio Comparison

AAEQ has a 0.15% expense ratio, which is lower than VMOT's 1.75% expense ratio.


Dividends

AAEQ vs. VMOT - Dividend Comparison

AAEQ's dividend yield for the trailing twelve months is around 0.09%, less than VMOT's 1.75% yield.


PositionTTM202520242023202220212020201920182017
AAEQ
Alpha Architect US Equity 2 ETF
0.09%0.10%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%
VMOT
Alpha Architect Value Momentum Trend ETF
1.75%2.05%2.54%4.13%2.24%0.82%0.00%1.76%0.93%0.81%

Frequently Asked Questions


AAEQ and VMOT have a correlation of 0.73, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

On fees, AAEQ is cheaper at 0.15% per year. The better choice depends on whether you care most about return, fees, risk, or income.

AAEQ is cheaper with a 0.15% expense ratio, compared with 1.75% for VMOT.

VMOT has the higher dividend yield at 1.75%, compared with 0.09% for AAEQ.

AAEQ is categorized as Large Cap Blend Equities, while VMOT is Momentum. Their fees differ too: 0.15% for AAEQ and 1.75% for VMOT.

Portfolio Optimizer

Find the right allocation for AAEQ and VMOT

Add both to a portfolio and optimize allocations for your target — whether that's maximizing returns, minimizing drawdowns, or balancing risk across holdings.

Open Portfolio Optimizer