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MCDS vs. VFMO
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

MCDS vs. VFMO - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in JPMorgan Fundamental Data Science Mid Core ETF (MCDS) 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, MCDS achieves a 13.38% return, which is significantly lower than VFMO's 24.71% return.


MCDS

1D
0.44%
1M
3.13%
YTD
13.38%
6M
13.62%
1Y
22.27%
3Y*
5Y*
10Y*

VFMO

1D
0.84%
1M
4.64%
YTD
24.71%
6M
22.49%
1Y
44.76%
3Y*
28.43%
5Y*
14.03%
10Y*
*Multi-year figures are annualized to reflect compound growth (CAGR)

MCDS vs. VFMO - Yearly Performance Comparison


2026 (YTD)20252024
MCDS
JPMorgan Fundamental Data Science Mid Core ETF
13.38%6.51%9.83%
VFMO
Vanguard U.S. Momentum Factor ETF
24.71%17.39%12.54%

Correlation

The correlation between MCDS and VFMO is 0.80, which is moderate. They share some common price drivers but move independently often enough to provide real diversification benefit when combined.


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

0.80

Correlation (All Time)
Calculated using the full available price history since Aug 9, 2024

0.84

The correlation between MCDS and VFMO has been stable across timeframes, ranging from 0.80 to 0.84 - a consistent structural relationship.

MCDS vs. VFMO - Sectors Allocation Comparison


Sectors
MCDS
VFMO

Industrials

18.2%
24.7%

Technology

17.3%
17.5%

Financial Services

13.5%
6.5%

Consumer Cyclical

11.1%
8.7%

Healthcare

8.9%
22.9%

Energy

7.2%
7.3%

Real Estate

7.1%
0.1%

Utilities

6.5%
0.2%

Consumer Defensive

4.2%
2.5%

Basic Materials

4.1%
6.4%

Communication Services

2.1%
3.4%

Industrials

MCDS
18.2%
VFMO
24.7%

Technology

MCDS
17.3%
VFMO
17.5%

Financial Services

MCDS
13.5%
VFMO
6.5%

Consumer Cyclical

MCDS
11.1%
VFMO
8.7%

Healthcare

MCDS
8.9%
VFMO
22.9%

Energy

MCDS
7.2%
VFMO
7.3%

Real Estate

MCDS
7.1%
VFMO
0.1%

Utilities

MCDS
6.5%
VFMO
0.2%

Consumer Defensive

MCDS
4.2%
VFMO
2.5%

Basic Materials

MCDS
4.1%
VFMO
6.4%

Communication Services

MCDS
2.1%
VFMO
3.4%

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Return for Risk

MCDS vs. VFMO — Risk / Return Rank

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

MCDS
MCDS Risk / Return Rank: 5555
Overall Rank
MCDS Sharpe Ratio Rank: 5050
Sharpe Ratio Rank
MCDS Sortino Ratio Rank: 5252
Sortino Ratio Rank
MCDS Omega Ratio Rank: 4848
Omega Ratio Rank
MCDS Calmar Ratio Rank: 6161
Calmar Ratio Rank
MCDS Martin Ratio Rank: 6262
Martin Ratio Rank

VFMO
VFMO Risk / Return Rank: 6969
Overall Rank
VFMO Sharpe Ratio Rank: 6565
Sharpe Ratio Rank
VFMO Sortino Ratio Rank: 6060
Sortino Ratio Rank
VFMO Omega Ratio Rank: 6060
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.

MCDS vs. VFMO - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for JPMorgan Fundamental Data Science Mid Core ETF (MCDS) 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.


MCDSVFMODifference
Sharpe ratioReturn per unit of total volatility

-0.43

Sortino ratioReturn per unit of downside risk

-0.29

Omega ratioGain probability vs. loss probability

1.30

1.36

-0.06

Calmar ratioReturn relative to maximum drawdown

2.99

4.09

-1.10

Martin ratioReturn relative to average drawdown

11.12

15.46

-4.35

MCDS vs. VFMO - Sharpe Ratio Comparison

The current MCDS Sharpe Ratio is 1.69, which is comparable to the VFMO Sharpe Ratio of 2.12. The chart below compares the historical Sharpe Ratios of MCDS 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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Sharpe Ratios by Period


MCDSVFMODifference

Sharpe Ratio (1Y)

Calculated over the trailing 1-year period

1.69

2.12

-0.43

Sharpe Ratio (5Y)

Calculated over the trailing 5-year period

0.65

Sharpe Ratio (All Time)

Calculated using the full available price history

1.00

0.66

+0.33

Drawdowns

MCDS vs. VFMO - Drawdown Comparison

The maximum MCDS drawdown since its inception was -22.50%, smaller than the maximum VFMO drawdown of -36.77%. Use the drawdown chart below to compare losses from any high point for MCDS and VFMO.


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Drawdown Indicators


MCDSVFMODifference

Max Drawdown

Largest peak-to-trough decline

-22.50%

-36.77%

+14.27%

Max Drawdown (1Y)

Largest decline over 1 year

-7.47%

-10.98%

+3.51%

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

0.00%

0.00%

0.00%

Average Drawdown

Average peak-to-trough decline

-3.98%

-7.76%

+3.78%

Ulcer Index

Depth and duration of drawdowns from previous peaks

2.01%

2.90%

-0.89%

Volatility

MCDS vs. VFMO - Volatility Comparison

The current volatility for JPMorgan Fundamental Data Science Mid Core ETF (MCDS) is 3.25%, while Vanguard U.S. Momentum Factor ETF (VFMO) has a volatility of 6.05%. This indicates that MCDS experiences smaller price fluctuations and is considered to be less risky than VFMO based on this measure. The chart below showcases a comparison of their rolling one-month volatility.


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Volatility by Period


MCDSVFMODifference

Volatility (1M)

Calculated over the trailing 1-month period

3.25%

6.05%

-2.80%

Volatility (6M)

Calculated over the trailing 6-month period

9.86%

16.38%

-6.52%

Volatility (1Y)

Calculated over the trailing 1-year period

13.21%

21.21%

-8.00%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

16.94%

21.70%

-4.76%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

16.94%

23.56%

-6.62%

MCDS vs. VFMO - Expense Ratio Comparison

MCDS has a 0.35% expense ratio, which is higher than VFMO's 0.13% expense ratio.


Dividends

MCDS vs. VFMO - Dividend Comparison

MCDS's dividend yield for the trailing twelve months is around 1.06%, more than VFMO's 0.62% yield.


PositionTTM20252024202320222021202020192018
MCDS
JPMorgan Fundamental Data Science Mid Core ETF
1.06%1.23%0.64%0.00%0.00%0.00%0.00%0.00%0.00%
VFMO
Vanguard U.S. Momentum Factor ETF
0.62%0.82%0.72%0.89%1.72%0.81%0.45%1.22%0.70%

Frequently Asked Questions


MCDS and VFMO have a correlation of 0.80, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

VFMO has higher volatility (6.05%) compared to MCDS (3.25%). In terms of maximum drawdown, MCDS dropped -22.50% vs VFMO's -36.77%.

On 1-year performance, VFMO leads with 44.76% vs 22.27% for MCDS. On fees, VFMO is cheaper at 0.13% per year. On volatility, MCDS has been the lower-risk option at 3.25%. 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 44.76% return vs 22.27%. 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 0.35% for MCDS.

MCDS has the higher dividend yield at 1.06%, compared with 0.62% for VFMO.

MCDS is categorized as Mid Cap Blend Equities, while VFMO is Momentum. They also come from different issuers: JPMorgan and Vanguard. Their fees differ too: 0.35% for MCDS and 0.13% for VFMO.

VFMO currently has the higher Sharpe Ratio (2.12 vs 1.69), 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.

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