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PSFD vs. FMAY
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

PSFD vs. FMAY - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in Pacer Swan SOS Flex (December) ETF (PSFD) and FT Cboe Vest U.S. Equity Buffer ETF - May (FMAY). The values are adjusted to include any dividend payments, if applicable.

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Returns By Period

In the year-to-date period, PSFD achieves a 5.64% return, which is significantly higher than FMAY's 3.95% return.


PSFD

1D
-0.62%
1M
-0.17%
YTD
5.64%
6M
5.57%
1Y
15.94%
3Y*
14.12%
5Y*
11.39%
10Y*

FMAY

1D
-0.84%
1M
-0.64%
YTD
3.95%
6M
3.89%
1Y
13.09%
3Y*
13.13%
5Y*
9.01%
10Y*
*Multi-year figures are annualized to reflect compound growth (CAGR)

PSFD vs. FMAY - Yearly Performance Comparison


2026 (YTD)202520242023202220212020
PSFD
Pacer Swan SOS Flex (December) ETF
5.64%12.93%14.54%20.95%-3.06%18.23%1.33%
FMAY
FT Cboe Vest U.S. Equity Buffer ETF - May
3.95%12.69%14.45%17.83%-8.08%11.00%0.50%

Correlation

The correlation between PSFD and FMAY is 0.91, 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

0.91

Correlation (3Y)
Calculated over the trailing 3-year period

0.90

Correlation (5Y)
Calculated over the trailing 5-year period

0.92

Correlation (All Time)
Calculated using the full available price history since Dec 23, 2020

0.90

The correlation between PSFD and FMAY has been stable across timeframes, ranging from 0.90 to 0.92 - a consistent structural relationship.

PSFD vs. FMAY - Sectors Allocation Comparison


Sectors
PSFD
FMAY

Technology

39.0%
39.0%

Financial Services

11.1%
11.1%

Communication Services

10.6%
10.6%

Consumer Cyclical

9.9%
9.9%

Healthcare

8.3%
8.3%

Industrials

7.8%
7.8%

Consumer Defensive

4.5%
4.5%

Energy

3.1%
3.1%

Utilities

2.1%
2.1%

Real Estate

1.8%
1.8%

Basic Materials

1.7%
1.7%

Technology

PSFD
39.0%
FMAY
39.0%

Financial Services

PSFD
11.1%
FMAY
11.1%

Communication Services

PSFD
10.6%
FMAY
10.6%

Consumer Cyclical

PSFD
9.9%
FMAY
9.9%

Healthcare

PSFD
8.3%
FMAY
8.3%

Industrials

PSFD
7.8%
FMAY
7.8%

Consumer Defensive

PSFD
4.5%
FMAY
4.5%

Energy

PSFD
3.1%
FMAY
3.1%

Utilities

PSFD
2.1%
FMAY
2.1%

Real Estate

PSFD
1.8%
FMAY
1.8%

Basic Materials

PSFD
1.7%
FMAY
1.7%

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Return for Risk

PSFD vs. FMAY — Risk / Return Rank

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

PSFD
PSFD Risk / Return Rank: 7676
Overall Rank
PSFD Sharpe Ratio Rank: 7878
Sharpe Ratio Rank
PSFD Sortino Ratio Rank: 8282
Sortino Ratio Rank
PSFD Omega Ratio Rank: 8484
Omega Ratio Rank
PSFD Calmar Ratio Rank: 6060
Calmar Ratio Rank
PSFD Martin Ratio Rank: 7777
Martin Ratio Rank

FMAY
FMAY Risk / Return Rank: 7474
Overall Rank
FMAY Sharpe Ratio Rank: 6868
Sharpe Ratio Rank
FMAY Sortino Ratio Rank: 7070
Sortino Ratio Rank
FMAY Omega Ratio Rank: 7777
Omega Ratio Rank
FMAY Calmar Ratio Rank: 6868
Calmar Ratio Rank
FMAY Martin Ratio Rank: 8686
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.

PSFD vs. FMAY - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for Pacer Swan SOS Flex (December) ETF (PSFD) and FT Cboe Vest U.S. Equity Buffer ETF - May (FMAY). 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.


PSFDFMAYDifference
Sharpe ratioReturn per unit of total volatility

+0.29

Sortino ratioReturn per unit of downside risk

+0.47

Omega ratioGain probability vs. loss probability

1.47

1.42

+0.05

Calmar ratioReturn relative to maximum drawdown

2.72

3.12

-0.39

Martin ratioReturn relative to average drawdown

13.72

16.70

-2.99

PSFD vs. FMAY - Sharpe Ratio Comparison

The current PSFD Sharpe Ratio is 2.30, which is comparable to the FMAY Sharpe Ratio of 2.01. The chart below compares the historical Sharpe Ratios of PSFD and FMAY, 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

PSFD vs. FMAY - Drawdown Comparison

The maximum PSFD drawdown since its inception was -14.94%, which is greater than FMAY's maximum drawdown of -13.60%. Use the drawdown chart below to compare losses from any high point for PSFD and FMAY.


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Drawdown Indicators


PSFDFMAYDifference

Max Drawdown

Largest peak-to-trough decline

-14.94%

-13.60%

-1.34%

Max Drawdown (1Y)

Largest decline over 1 year

-5.88%

-4.22%

-1.66%

Max Drawdown (3Y)

Largest decline over 3 years

-12.26%

-13.12%

+0.86%

Max Drawdown (5Y)

Largest decline over 5 years

-14.94%

-13.60%

-1.34%

Current Drawdown

Current decline from peak

-0.99%

-1.74%

+0.75%

Average Drawdown

Average peak-to-trough decline

-2.00%

-2.00%

0.00%

Ulcer Index

Depth and duration of drawdowns from previous peaks

1.16%

0.79%

+0.37%

Volatility

PSFD vs. FMAY - Volatility Comparison

The current volatility for Pacer Swan SOS Flex (December) ETF (PSFD) is 2.28%, while FT Cboe Vest U.S. Equity Buffer ETF - May (FMAY) has a volatility of 3.12%. This indicates that PSFD experiences smaller price fluctuations and is considered to be less risky than FMAY based on this measure. The chart below showcases a comparison of their rolling one-month volatility.


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Volatility by Period


PSFDFMAYDifference

Volatility (1M)

Calculated over the trailing 1-month period

2.28%

3.12%

-0.84%

Volatility (6M)

Calculated over the trailing 6-month period

5.98%

5.43%

+0.55%

Volatility (1Y)

Calculated over the trailing 1-year period

6.98%

6.55%

+0.43%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

10.51%

10.66%

-0.15%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

10.42%

10.17%

+0.25%

PSFD vs. FMAY - Expense Ratio Comparison

PSFD has a 0.75% expense ratio, which is lower than FMAY's 0.85% expense ratio.


Dividends

PSFD vs. FMAY - Dividend Comparison

Neither PSFD nor FMAY has paid dividends to shareholders.


Tickers have no history of dividend payments

Frequently Asked Questions


With a correlation of 0.91, PSFD and FMAY move almost identically. Holding both adds very little diversification - you're essentially doubling your position in the same market segment. Choosing one is usually more capital-efficient.

FMAY has higher volatility (3.12%) compared to PSFD (2.28%). In terms of maximum drawdown, PSFD dropped -14.94% vs FMAY's -13.60%.

On 5-year performance, PSFD leads with 11.39% vs 9.01% for FMAY. On fees, PSFD is cheaper at 0.75% per year. On volatility, PSFD has been the lower-risk option at 2.28%. The better choice depends on whether you care most about return, fees, risk, or income.

Over the 5-year period, PSFD has performed better with a 11.39% return vs 9.01%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.

PSFD is cheaper with a 0.75% expense ratio, compared with 0.85% for FMAY.

PSFD and FMAY have nearly identical dividend yields, around 0.00%.

They also come from different issuers: Pacer and First Trust. Their fees differ too: 0.75% for PSFD and 0.85% for FMAY.

PSFD currently has the higher Sharpe Ratio (2.30 vs 2.01), 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 PSFD and FMAY

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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