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ETFs

Innovator U.S. Equity Power Buffer ETF - August

PAUG
$--
Today’s Change
-- (--)

Snapshot
*

Inception Date
Aug 01 2019
Expense Ratio
0.79%
Type
US Equities
Fund Owner
Innovator Management
Volume (1m avg. daily)
$3,460,683
AUM
$570,154,500
Associated Index
S&P 500 Index
Inverse/Leveraged
No
Passive/Active
Passive
Fractionable on Composer
Yes
Prospectus
View

Top 10 Holdings

n/a
SPY 07/31/2023 4.12 C
97.99%
n/a
SPY 07/31/2023 411.99 P
2.21%
n/a
Cash & Other
0.19%
n/a
SPY 07/31/2023 476.22 C
-0.01%
n/a
SPY 07/31/2023 350.19 P
-0.39%
Invest with PAUG

What is PAUG?

The Innovator S&P 500 Power Buffer ETF seeks to track the return of the S&P 500 Price Return Index, up to a predetermined cap, while buffering investors against the first 15% of losses over the outcome period. The ETF can be held indefinitely, resetting at the end of each outcome period, approximately annually.

ETFs related toPAUG

ETFs correlated to PAUG include GAPR, USCA, DECW

PAUG
Innovator ETFs Trust - Innovator U.S. Equity Power Buffer ETF - August
GAPR
First Trust Exchange-Traded Fund VIII - FT Cboe Vest U.S. Equity Moderate Buffer ETF - April
USCA
DBX ETF Trust - Xtrackers MSCI USA Climate Action Equity ETF
DECW
AIM ETF Products Trust - AllianzIM U.S. Large Cap Buffer20 Dec ETF
BAUG
Innovator ETFs Trust - Innovator U.S. Equity Buffer ETF - August
STRV
EA Series Trust - Strive 500 ETF
DFSU
Dimensional ETF Trust - Dimensional US Sustainability Core 1 ETF
JGRO
J.P. Morgan Exchange-Traded Fund Trust - JPMorgan Active Growth ETF
BJUL
Innovator ETFs Trust - Innovator U.S. Equity Buffer ETF - July
BNOV
Innovator ETFs Trust - Innovator U.S. Equity Buffer ETF - November
FAUG
First Trust Exchange-Traded Fund VIII - FT Cboe Vest U.S. Equity Buffer ETF - August

What is ETF correlation?

Correlation is a measure of the strength of the relationship between two ETFs. It quantifies the degree to which prices of the two ETFs typically move together.

Here, correlation is measured over the past year with the Pearson correlation coefficient (Pearon’s r), which ranges from -1 to 1.

Using ETF correlations in portfolio and strategy construction

ETF correlations can help you create investing strategies and portfolios. Use them to:

  • •Build a diversified portfolio from uncorrelated or inversely correlated ETFs with the aim of minimizing portfolio risk.
  • •Compare correlated or related ETFs to find one with a lower expense ratio or higher trading volume.
  • •Create an investing strategy that hedges an ETF with an uncorrelated or inversely correlated ETF.

Automated Strategies
Related toPAUG

#SPYMIN

SPY minimum drawdown

Category

Community

Risk Rating

Aggressive

#LSBH

Hedgefundies Refined: Leveraged Stocks and Bonds with a Hedge

Category

Balance Risk Not Assets, Lever Up, Composer's Picks, Leverage: High Risk, High Reward

Risk Rating

Aggressive

Create your own algorithmic trading strategy with PAUG using Composer

FAQ

PAUG is a US Equities ETF. The Innovator S&P 500 Power Buffer ETF seeks to track the return of the S&P 500 Price Return Index, up to a predetermined cap, while buffering investors against the first 15% of losses over the outcome period. The ETF can be held indefinitely, resetting at the end of each outcome period, approximately annually.

PAUG tracks the S&P 500 Index.

No, PAUG is not actively managed. It is passively managed. In an actively managed fund, the fund manager makes decisions about how funds are invested. A passively managed fund typically tries to track or follow a market index.

Yes, PAUG is passively managed. A passively managed fund typically tries to track or follow a market index. In an actively managed fund, the fund manager makes decisions about how funds are invested.

The 1-month return on PAUG is 0.0084%. This is the percent change in the value of PAUG over the most recent 1-month period. The 3-month return on PAUG is 0.0293%. This is the percent change in the value of PAUG over the most recent 3-month period.

The standard deviation of PAUG for the past year is 0.1094%. Standard deviation is the typical amount that the daily returns vary from the mean of the returns over the time period, standardized to a period of a year.

ETFs similar to PAUG include SPUU, IVV, and SSO.

ETFs correlated to PAUG include GAPR, USCA, and DECW.

ETFs that are inversely correlated to PAUG include SDS, SH, and SPXS.

Disclaimers

*

We show information directly obtained from our data provider, Xignite. Data shown here is provided by Xignite, an unaffiliated third party. Composer believes the information shown here is reliable, but has not been verified and there is no guarantee that the information is accurate.

**

We show information based on calculations performed by Composer using data from our provider. Information provided here is based on calculations performed by Composer using data sourced from Xignite, an unaffiliated third party. Composer believes this information is reliable, but has not verified the data and there is no guarantee that the calculations are accurate.