Skip to Content

FT Cboe Vest U.S. Equity Moderate Buffer ETF - January

GJAN
$--
Today’s Change
-- (--)

Snapshot
*

Inception Date
Jan 20 2023
Expense Ratio
0.85%
Type
US Equities
Fund Owner
First Trust
Volume (1m avg. daily)
$1,448,132
AUM
$173,342,061
Associated Index
SPDR S&P 500 ETF Trust
Inverse/Leveraged
No
Passive/Active
Passive
Fractionable on Composer
No
Prospectus

Top 10 Holdings

n/a
2024-01-19 SPDR S&P 500 ETF Trust C 3.98
97.92%
n/a
2024-01-19 SPDR S&P 500 ETF Trust P 395.90
5.05%
n/a
US Dollar
1.03%
n/a
2024-01-19 SPDR S&P 500 ETF Trust C 458.24
-1.98%
n/a
2024-01-19 SPDR S&P 500 ETF Trust P 336.50
-2.02%
Invest with GJAN

What is GJAN?

The investment objective of the FT Cboe Vest U.S. Equity Moderate Buffer ETF - January (the "Fund") is to seek to provide investors with returns (before fees and expenses) that match the price return of the SPDR S&P 500 ETF Trust (the "Underlying ETF"), up to a predetermined upside cap of 15.75% while providing a buffer (before fees and expenses) against the first 15% of Underlying ETF losses, over the period from January 23, 2023, through January 19, 2024. Under normal market conditions, the Fund will invest substantially all of its assets in FLexible EXchange Options ("FLEX Options") that reference the price performance of the SPDR S&P 500 ETF Trust (the "Underlying ETF"). The Fund uses FLEX Options to employ a "target outcome strategy." Target outcome strategies seek to produce pre-determined investment outcomes based upon the performance of an underlying security or index. The pre-determined outcomes sought by the Fund, which include a buffer (before fees and expenses) against the first 15% of Underlying ETF losses and a cap of 15.75% (before fees and expenses), are based on the price performance of the Underlying ETF over an approximate one-year period (the "Target Outcome Period").

ETFs related toGJAN

ETFs correlated to GJAN include DJUN, USPX, BKLC

GJAN
First Trust Exchange-Traded Fund VIII - FT Cboe Vest U.S. Equity Moderate Buffer ETF - January
DJUN
First Trust Exchange-Traded Fund VIII - FT Cboe Vest U.S. Equity Deep Buffer ETF - June
USPX
Franklin Templeton ETF Trust - Franklin U.S. Equity Index ETF
BKLC
BNY Mellon ETF Trust - BNY Mellon US Large Cap Core Equity ETF
GFEB
First Trust Exchange-Traded Fund VIII - FT Cboe Vest U.S. Equity Moderate Buffer ETF - February
IYY
BlackRock Institutional Trust Company N.A. - iShares Dow Jones U.S. ETF
PJAN
Innovator ETFs Trust - Innovator U.S. Equity Power Buffer ETF - January
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.

FAQ

GJAN is a US Equities ETF. The investment objective of the FT Cboe Vest U.S. Equity Moderate Buffer ETF - January (the "Fund") is to seek to provide investors with returns (before fees and expenses) that match the price return of the SPDR S&P 500 ETF Trust (the "Underlying ETF"), up to a predetermined upside cap of 15.75% while providing a buffer (before fees and expenses) against the first 15% of Underlying ETF losses, over the period from January 23, 2023, through January 19, 2024. Under normal market conditions, the Fund will invest substantially all of its assets in FLexible EXchange Options ("FLEX Options") that reference the price performance of the SPDR S&P 500 ETF Trust (the "Underlying ETF"). The Fund uses FLEX Options to employ a "target outcome strategy." Target outcome strategies seek to produce pre-determined investment outcomes based upon the performance of an underlying security or index. The pre-determined outcomes sought by the Fund, which include a buffer (before fees and expenses) against the first 15% of Underlying ETF losses and a cap of 15.75% (before fees and expenses), are based on the price performance of the Underlying ETF over an approximate one-year period (the "Target Outcome Period").

GJAN tracks the SPDR S&P 500 ETF Trust.

No, GJAN 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, GJAN 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 GJAN is 0.0214%. This is the percent change in the value of GJAN over the most recent 1-month period. The 3-month return on GJAN is %. This is the percent change in the value of GJAN over the most recent 3-month period.

ETFs similar to GJAN include DAUG, FNOV, and BUFR.

ETFs correlated to GJAN include DJUN, USPX, and BKLC.

ETFs that are inversely correlated to GJAN include SPXS, SPDN, and SPXU.

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.