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BAUG vs. PMAR
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

BAUG vs. PMAR - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in Innovator U.S. Equity Buffer ETF - August (BAUG) and Innovator U.S. Equity Power Buffer ETF - March (PMAR). The values are adjusted to include any dividend payments, if applicable.

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Returns By Period

The year-to-date returns for both stocks are quite close, with BAUG having a 6.64% return and PMAR slightly lower at 6.32%.


BAUG

1D
0.11%
1M
2.04%
YTD
6.64%
6M
7.26%
1Y
19.96%
3Y*
18.09%
5Y*
11.18%
10Y*

PMAR

1D
0.05%
1M
1.81%
YTD
6.32%
6M
7.18%
1Y
15.38%
3Y*
13.09%
5Y*
9.52%
10Y*
*Multi-year figures are annualized to reflect compound growth (CAGR)

BAUG vs. PMAR - Yearly Performance Comparison


2026 (YTD)202520242023202220212020
BAUG
Innovator U.S. Equity Buffer ETF - August
6.64%14.81%21.15%20.11%-10.30%12.06%15.03%
PMAR
Innovator U.S. Equity Power Buffer ETF - March
6.32%11.82%12.83%15.95%-2.65%10.96%6.64%

Correlation

The correlation between BAUG and PMAR is 0.93, 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

0.93

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

0.91

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

0.91

Correlation (All Time)
Calculated using the full available price history since Mar 3, 2020

0.88

The correlation between BAUG and PMAR has been stable across timeframes, ranging from 0.88 to 0.93 - a consistent structural relationship.

BAUG vs. PMAR - Sectors Allocation Comparison


Sectors
BAUG
PMAR

Technology

36.2%
36.2%

Financial Services

11.9%
11.9%

Communication Services

10.9%
10.9%

Consumer Cyclical

10.1%
10.1%

Healthcare

8.4%
8.4%

Industrials

8.1%
8.1%

Consumer Defensive

4.9%
4.9%

Energy

3.5%
3.5%

Utilities

2.3%
2.3%

Real Estate

1.9%
1.9%

Basic Materials

1.8%
1.8%

Technology

BAUG
36.2%
PMAR
36.2%

Financial Services

BAUG
11.9%
PMAR
11.9%

Communication Services

BAUG
10.9%
PMAR
10.9%

Consumer Cyclical

BAUG
10.1%
PMAR
10.1%

Healthcare

BAUG
8.4%
PMAR
8.4%

Industrials

BAUG
8.1%
PMAR
8.1%

Consumer Defensive

BAUG
4.9%
PMAR
4.9%

Energy

BAUG
3.5%
PMAR
3.5%

Utilities

BAUG
2.3%
PMAR
2.3%

Real Estate

BAUG
1.9%
PMAR
1.9%

Basic Materials

BAUG
1.8%
PMAR
1.8%

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Return for Risk

BAUG vs. PMAR — Risk / Return Rank

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

BAUG
BAUG Risk / Return Rank: 8282
Overall Rank
BAUG Sharpe Ratio Rank: 8181
Sharpe Ratio Rank
BAUG Sortino Ratio Rank: 8484
Sortino Ratio Rank
BAUG Omega Ratio Rank: 8585
Omega Ratio Rank
BAUG Calmar Ratio Rank: 7272
Calmar Ratio Rank
BAUG Martin Ratio Rank: 8686
Martin Ratio Rank

PMAR
PMAR Risk / Return Rank: 8888
Overall Rank
PMAR Sharpe Ratio Rank: 8888
Sharpe Ratio Rank
PMAR Sortino Ratio Rank: 9292
Sortino Ratio Rank
PMAR Omega Ratio Rank: 9494
Omega Ratio Rank
PMAR Calmar Ratio Rank: 7676
Calmar Ratio Rank
PMAR Martin Ratio Rank: 9292
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.

BAUG vs. PMAR - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for Innovator U.S. Equity Buffer ETF - August (BAUG) and Innovator U.S. Equity Power Buffer ETF - March (PMAR). 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.


BAUGPMARDifference
Sharpe ratioReturn per unit of total volatility

-0.34

Sortino ratioReturn per unit of downside risk

-0.65

Omega ratioGain probability vs. loss probability

1.51

1.66

-0.15

Calmar ratioReturn relative to maximum drawdown

3.55

3.76

-0.21

Martin ratioReturn relative to average drawdown

17.99

22.24

-4.26

BAUG vs. PMAR - Sharpe Ratio Comparison

The current BAUG Sharpe Ratio is 2.58, which is comparable to the PMAR Sharpe Ratio of 2.92. The chart below compares the historical Sharpe Ratios of BAUG and PMAR, 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


BAUGPMARDifference

Sharpe Ratio (1Y)

Calculated over the trailing 1-year period

2.58

2.92

-0.34

Sharpe Ratio (5Y)

Calculated over the trailing 5-year period

0.96

1.17

-0.21

Sharpe Ratio (All Time)

Calculated using the full available price history

0.84

0.91

-0.07

Drawdowns

BAUG vs. PMAR - Drawdown Comparison

The maximum BAUG drawdown since its inception was -24.19%, which is greater than PMAR's maximum drawdown of -17.18%. Use the drawdown chart below to compare losses from any high point for BAUG and PMAR.


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Drawdown Indicators


BAUGPMARDifference

Max Drawdown

Largest peak-to-trough decline

-24.19%

-17.18%

-7.01%

Max Drawdown (1Y)

Largest decline over 1 year

-5.66%

-4.11%

-1.55%

Max Drawdown (3Y)

Largest decline over 3 years

-13.78%

-9.32%

-4.46%

Max Drawdown (5Y)

Largest decline over 5 years

-15.59%

-10.84%

-4.75%

Current Drawdown

Current decline from peak

0.00%

-0.04%

+0.04%

Average Drawdown

Average peak-to-trough decline

-2.84%

-1.56%

-1.28%

Ulcer Index

Depth and duration of drawdowns from previous peaks

1.11%

0.69%

+0.42%

Volatility

BAUG vs. PMAR - Volatility Comparison

Innovator U.S. Equity Buffer ETF - August (BAUG) has a higher volatility of 0.95% compared to Innovator U.S. Equity Power Buffer ETF - March (PMAR) at 0.82%. This indicates that BAUG's price experiences larger fluctuations and is considered to be riskier than PMAR based on this measure. The chart below showcases a comparison of their rolling one-month volatility.


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Volatility by Period


BAUGPMARDifference

Volatility (1M)

Calculated over the trailing 1-month period

0.95%

0.82%

+0.13%

Volatility (6M)

Calculated over the trailing 6-month period

5.83%

4.13%

+1.70%

Volatility (1Y)

Calculated over the trailing 1-year period

7.77%

5.29%

+2.48%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

11.70%

8.17%

+3.53%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

13.95%

10.72%

+3.23%

BAUG vs. PMAR - Expense Ratio Comparison

Both BAUG and PMAR have an expense ratio of 0.79%.


Dividends

BAUG vs. PMAR - Dividend Comparison

Neither BAUG nor PMAR has paid dividends to shareholders.


Tickers have no history of dividend payments

Frequently Asked Questions


With a correlation of 0.93, BAUG and PMAR 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.

BAUG has higher volatility (0.95%) compared to PMAR (0.82%). In terms of maximum drawdown, BAUG dropped -24.19% vs PMAR's -17.18%.

On 5-year performance, BAUG leads with 11.18% vs 9.52% for PMAR. Both ETFs have the same 0.79% expense ratio. On volatility, PMAR has been the lower-risk option at 0.82%. The better choice depends on whether you care most about return, fees, risk, or income.

Over the 5-year period, BAUG has performed better with a 11.18% return vs 9.52%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.

BAUG and PMAR have the same expense ratio: 0.79% per year.

BAUG and PMAR have nearly identical dividend yields, around 0.00%.

BAUG tracks Cboe S&P 500 Buffer Protect Index August, while PMAR tracks Cboe S&P 500 15% Buffer Protect March Series Index.

PMAR currently has the higher Sharpe Ratio (2.92 vs 2.58), 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

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