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MCDS vs. CSD
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

MCDS vs. CSD - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in JPMorgan Fundamental Data Science Mid Core ETF (MCDS) and Invesco S&P Spin-Off ETF (CSD). 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 15.90% return, which is significantly lower than CSD's 33.33% return.


MCDS

1D
-0.15%
1M
0.05%
6M
13.29%
YTD
15.90%
1Y
21.68%
3Y*
5Y*
10Y*
ALL TIME*
16.65%

CSD

1D
-0.25%
1M
-6.37%
6M
19.91%
YTD
33.33%
1Y
54.94%
3Y*
31.10%
5Y*
15.97%
10Y*
13.22%
ALL TIME*
9.93%
*Multi-year figures are annualized to reflect compound growth (CAGR)

Liquidity Comparison


PositionAvg. Volume Value (2W)Avg. Volume Value (1M)Avg. Volume Value (3M)
$2.08M$2.19M$2.22M
$117.48K$57.47K$28.02K

MCDS vs. CSD - Yearly Performance Comparison


2026 (YTD)20252024
MCDS
JPMorgan Fundamental Data Science Mid Core ETF
15.90%6.51%9.83%
CSD
Invesco S&P Spin-Off ETF
33.33%21.58%19.28%

Correlation

The correlation between MCDS and CSD is 0.79, which is moderate. They have sometimes moved together and sometimes differently, sharing some price drivers without tracking each other closely.


Correlation
Correlation (1Y)
Focuses on recent behavior, but can change the most.

0.79

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

0.81

The correlation between MCDS and CSD has been stable across timeframes, ranging from 0.79 to 0.81 - a consistent structural relationship.

MCDS vs. CSD - Sectors Allocation Comparison


Sectors
MCDS
CSD

Technology

18.6%
23.5%

Industrials

17.2%
35.5%

Financial Services

12.9%
0.1%

Healthcare

11.0%
12.8%

Consumer Cyclical

10.4%
2.4%

Real Estate

6.7%
3.8%

Utilities

6.5%
7.3%

Energy

5.9%

-

Consumer Defensive

4.7%
1.0%

Basic Materials

3.6%
6.8%

Communication Services

2.5%
5.2%

Technology

MCDS
18.6%
CSD
23.5%

Industrials

MCDS
17.2%
CSD
35.5%

Financial Services

MCDS
12.9%
CSD
0.1%

Healthcare

MCDS
11.0%
CSD
12.8%

Consumer Cyclical

MCDS
10.4%
CSD
2.4%

Real Estate

MCDS
6.7%
CSD
3.8%

Utilities

MCDS
6.5%
CSD
7.3%

Energy

MCDS
5.9%
CSD

-

Consumer Defensive

MCDS
4.7%
CSD
1.0%

Basic Materials

MCDS
3.6%
CSD
6.8%

Communication Services

MCDS
2.5%
CSD
5.2%

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Return for Risk

MCDS vs. CSD — Risk / Return Rank

Compare historical risk-adjusted metric ranks over the past 12 months.

MCDS
MCDS Risk / Return Rank: 7171
Overall Rank
MCDS Sharpe Ratio Rank: 6565
Sharpe Ratio Rank
MCDS Sortino Ratio Rank: 7070
Sortino Ratio Rank
MCDS Omega Ratio Rank: 6363
Omega Ratio Rank
MCDS Calmar Ratio Rank: 7676
Calmar Ratio Rank
MCDS Martin Ratio Rank: 7979
Martin Ratio Rank

CSD
CSD Risk / Return Rank: 8888
Overall Rank
CSD Sharpe Ratio Rank: 8888
Sharpe Ratio Rank
CSD Sortino Ratio Rank: 8585
Sortino Ratio Rank
CSD Omega Ratio Rank: 8282
Omega Ratio Rank
CSD Calmar Ratio Rank: 9393
Calmar Ratio Rank
CSD Martin Ratio Rank: 9090
Martin Ratio Rank
The rank (0–100) uses a weighted average of the Sharpe, Sortino, Omega, Calmar, and Martin percentile ranks for the trailing 12 months. Higher means stronger historical risk-adjusted performance within the peer group.

MCDS vs. CSD - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for JPMorgan Fundamental Data Science Mid Core ETF (MCDS) and Invesco S&P Spin-Off ETF (CSD). 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.


MCDSCSDDifference
Sharpe ratioReturn per unit of total volatility

-0.59

Sortino ratioReturn per unit of downside risk

-0.53

Omega ratioGain probability vs. loss probability

1.27

1.35

-0.08

Calmar ratioReturn relative to maximum drawdown

2.73

4.53

-1.81

Martin ratioReturn relative to average drawdown

10.41

14.08

-3.67

MCDS vs. CSD - Sharpe Ratio Comparison

The current MCDS Sharpe Ratio is 1.53, which is comparable to the CSD Sharpe Ratio of 2.12. The chart below compares the historical Sharpe Ratios of MCDS and CSD, 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. CSD - Drawdown Comparison

The maximum MCDS drawdown since its inception was -22.50%, smaller than the maximum CSD drawdown of -70.47%. Use the drawdown chart below to compare losses from any high point for MCDS and CSD.


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Drawdown Indicators


MCDSCSDDifference

Max Drawdown

Largest peak-to-trough decline

-22.50%

-70.47%

+47.97%

Max Drawdown (1Y)

Largest decline over 1 year

-7.47%

-12.02%

+4.55%

Max Drawdown (3Y)

Largest decline over 3 years

-30.15%

Max Drawdown (5Y)

Largest decline over 5 years

-30.15%

Max Drawdown (10Y)

Largest decline over 10 years

-57.55%

Current Drawdown

Current decline from peak

-0.50%

-11.21%

+10.71%

Average Drawdown

Average peak-to-trough decline

-3.72%

-14.16%

+10.44%

Ulcer Index

Depth and duration of drawdowns from previous peaks

1.95%

3.86%

-1.91%

Volatility

MCDS vs. CSD - Volatility Comparison

The current volatility for JPMorgan Fundamental Data Science Mid Core ETF (MCDS) is 2.30%, while Invesco S&P Spin-Off ETF (CSD) has a volatility of 5.61%. This indicates that MCDS experiences smaller price fluctuations and is considered to be less risky than CSD based on this measure. The chart below showcases a comparison of their rolling one-month volatility.


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Volatility by Period


MCDSCSDDifference

Volatility (1M)

Calculated over the trailing 1-month period

2.30%

5.61%

-3.31%

Volatility (6M)

Calculated over the trailing 6-month period

9.90%

19.42%

-9.52%

Volatility (1Y)

Calculated over the trailing 1-year period

13.31%

25.67%

-12.36%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

16.58%

23.56%

-6.98%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

16.58%

24.97%

-8.39%

MCDS vs. CSD - Expense Ratio Comparison

MCDS has a 0.35% expense ratio, which is lower than CSD's 0.65% expense ratio.


Dividends

MCDS vs. CSD - Dividend Comparison

MCDS's dividend yield for the trailing twelve months is around 1.04%, more than CSD's 0.12% yield.


PositionTTM20252024202320222021202020192018201720162015
CSD
Invesco S&P Spin-Off ETF
0.12%0.16%0.17%0.51%0.86%0.73%0.99%1.08%0.99%0.60%1.62%2.61%
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 CSD have a correlation of 0.79, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

CSD has higher volatility (5.61%) compared to MCDS (2.30%). In terms of maximum drawdown, MCDS dropped -22.50% vs CSD's -70.47%.

On 1-year performance, CSD leads with 54.94% vs 21.68% for MCDS. On fees, MCDS is cheaper at 0.35% per year. On volatility, MCDS has been the lower-risk option at 2.30%. The better choice depends on whether you care most about return, fees, risk, or income.

Over the 1-year period, CSD has performed better with a 54.94% return vs 21.68%. 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 0.65% for CSD.

MCDS has the higher dividend yield at 1.04%, compared with 0.12% for CSD.

They also come from different issuers: JPMorgan and Invesco. Their fees differ too: 0.35% for MCDS and 0.65% for CSD.

CSD currently has the higher Sharpe Ratio (2.12 vs 1.53), 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 CSD

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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