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MCDS vs. FTDS
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

MCDS vs. FTDS - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in JPMorgan Fundamental Data Science Mid Core ETF (MCDS) and First Trust Dividend Strength ETF (FTDS). 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 15.40% return, which is significantly higher than FTDS's 12.19% return.


MCDS

1D
-0.32%
1M
1.50%
6M
11.46%
YTD
15.40%
1Y
19.72%
3Y*
5Y*
10Y*

FTDS

1D
0.71%
1M
2.58%
6M
7.78%
YTD
12.19%
1Y
19.33%
3Y*
15.76%
5Y*
7.91%
10Y*
10.98%
*Multi-year figures are annualized to reflect compound growth (CAGR)

MCDS vs. FTDS - Yearly Performance Comparison


2026 (YTD)20252024
MCDS
JPMorgan Fundamental Data Science Mid Core ETF
15.40%6.51%9.83%
FTDS
First Trust Dividend Strength ETF
12.19%13.64%5.56%

Correlation

The correlation between MCDS and FTDS is 0.68, 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

0.68

Correlation (All Time)
Calculated using the full available price history since Aug 8, 2024

0.77

The correlation between MCDS and FTDS has been stable across timeframes, ranging from 0.68 to 0.77 - a consistent structural relationship.

MCDS vs. FTDS - Sectors Allocation Comparison


Sectors
MCDS
FTDS

Technology

19.5%
9.4%

Industrials

18.3%
19.6%

Financial Services

13.0%
28.4%

Consumer Cyclical

10.7%
3.4%

Healthcare

9.1%
9.3%

Real Estate

6.9%

-

Energy

6.5%
19.6%

Utilities

6.1%

-

Consumer Defensive

4.0%
1.8%

Basic Materials

3.9%
8.5%

Communication Services

2.0%

-

Technology

MCDS
19.5%
FTDS
9.4%

Industrials

MCDS
18.3%
FTDS
19.6%

Financial Services

MCDS
13.0%
FTDS
28.4%

Consumer Cyclical

MCDS
10.7%
FTDS
3.4%

Healthcare

MCDS
9.1%
FTDS
9.3%

Real Estate

MCDS
6.9%
FTDS

-

Energy

MCDS
6.5%
FTDS
19.6%

Utilities

MCDS
6.1%
FTDS

-

Consumer Defensive

MCDS
4.0%
FTDS
1.8%

Basic Materials

MCDS
3.9%
FTDS
8.5%

Communication Services

MCDS
2.0%
FTDS

-

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Return for Risk

MCDS vs. FTDS — Risk / Return Rank

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

MCDS
MCDS Risk / Return Rank: 6060
Overall Rank
MCDS Sharpe Ratio Rank: 5454
Sharpe Ratio Rank
MCDS Sortino Ratio Rank: 5757
Sortino Ratio Rank
MCDS Omega Ratio Rank: 5151
Omega Ratio Rank
MCDS Calmar Ratio Rank: 6767
Calmar Ratio Rank
MCDS Martin Ratio Rank: 6868
Martin Ratio Rank

FTDS
FTDS Risk / Return Rank: 5959
Overall Rank
FTDS Sharpe Ratio Rank: 5656
Sharpe Ratio Rank
FTDS Sortino Ratio Rank: 5959
Sortino Ratio Rank
FTDS Omega Ratio Rank: 5353
Omega Ratio Rank
FTDS Calmar Ratio Rank: 7373
Calmar Ratio Rank
FTDS Martin Ratio Rank: 5555
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. FTDS - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for JPMorgan Fundamental Data Science Mid Core ETF (MCDS) and First Trust Dividend Strength ETF (FTDS). 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.


MCDSFTDSDifference
Sharpe ratioReturn per unit of total volatility

-0.03

Sortino ratioReturn per unit of downside risk

-0.05

Omega ratioGain probability vs. loss probability

1.26

1.27

-0.01

Calmar ratioReturn relative to maximum drawdown

2.65

2.95

-0.30

Martin ratioReturn relative to average drawdown

9.80

7.49

+2.31

MCDS vs. FTDS - Sharpe Ratio Comparison

The current MCDS Sharpe Ratio is 1.47, which is comparable to the FTDS Sharpe Ratio of 1.50. The chart below compares the historical Sharpe Ratios of MCDS and FTDS, 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

MCDS vs. FTDS - Drawdown Comparison

The maximum MCDS drawdown since its inception was -22.50%, smaller than the maximum FTDS drawdown of -56.53%. Use the drawdown chart below to compare losses from any high point for MCDS and FTDS.


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Drawdown Indicators


MCDSFTDSDifference

Max Drawdown

Largest peak-to-trough decline

-22.50%

-56.53%

+34.03%

Max Drawdown (1Y)

Largest decline over 1 year

-7.47%

-6.57%

-0.90%

Max Drawdown (3Y)

Largest decline over 3 years

-18.04%

Max Drawdown (5Y)

Largest decline over 5 years

-23.35%

Max Drawdown (10Y)

Largest decline over 10 years

-42.47%

Current Drawdown

Current decline from peak

-0.91%

0.00%

-0.91%

Average Drawdown

Average peak-to-trough decline

-3.80%

-9.83%

+6.03%

Ulcer Index

Depth and duration of drawdowns from previous peaks

2.02%

2.59%

-0.57%

Volatility

MCDS vs. FTDS - Volatility Comparison

JPMorgan Fundamental Data Science Mid Core ETF (MCDS) and First Trust Dividend Strength ETF (FTDS) have volatilities of 3.57% and 3.44%, 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


MCDSFTDSDifference

Volatility (1M)

Calculated over the trailing 1-month period

3.57%

3.44%

+0.13%

Volatility (6M)

Calculated over the trailing 6-month period

10.15%

8.18%

+1.97%

Volatility (1Y)

Calculated over the trailing 1-year period

13.50%

12.95%

+0.55%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

16.77%

17.59%

-0.82%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

16.77%

20.04%

-3.27%

MCDS vs. FTDS - Expense Ratio Comparison

MCDS has a 0.35% expense ratio, which is lower than FTDS's 0.70% expense ratio.


Dividends

MCDS vs. FTDS - Dividend Comparison

MCDS's dividend yield for the trailing twelve months is around 1.04%, less than FTDS's 1.57% yield.


PositionTTM20252024202320222021202020192018201720162015
FTDS
First Trust Dividend Strength ETF
1.57%1.59%2.05%2.15%2.31%0.72%0.99%1.13%1.14%0.79%1.24%0.95%
MCDS
JPMorgan Fundamental Data Science Mid Core ETF
1.04%1.23%0.64%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%

Frequently Asked Questions


MCDS and FTDS have a correlation of 0.68, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

MCDS has higher volatility (3.57%) compared to FTDS (3.44%). In terms of maximum drawdown, MCDS dropped -22.50% vs FTDS's -56.53%.

On 1-year performance, MCDS leads with 19.72% vs 19.33% for FTDS. On fees, MCDS is cheaper at 0.35% per year. On volatility, FTDS has been the lower-risk option at 3.44%. The better choice depends on whether you care most about return, fees, risk, or income.

Over the 1-year period, MCDS has performed better with a 19.72% return vs 19.33%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.

MCDS is cheaper with a 0.35% expense ratio, compared with 0.70% for FTDS.

FTDS has the higher dividend yield at 1.57%, compared with 1.04% for MCDS.

They also come from different issuers: JPMorgan and First Trust. Their fees differ too: 0.35% for MCDS and 0.70% for FTDS.

FTDS currently has the higher Sharpe Ratio (1.50 vs 1.47), 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 MCDS and FTDS

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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