Snapshot*
Top 10 Holdings
What is BUFR?
The investment objective of the FT Cboe Vest Fund of Buffer ETFs is to seek to provide investors with capital appreciation. The Fund seeks to achieve its investment objective by providing investors with US large cap equity market exposure while limiting downside risk through a laddered portfolio of four FT Cboe Vest U.S. Equity Buffer ETFs ("Underlying ETFs"). Under normal market conditions the Fund will invest substantially all of its assets in the Underlying ETFs , which seek to provide investors with returns (before fees, expenses and taxes) that match the price return of the SPDR S&P 500 ETF Trust ("SPY"), up to a predetermined upside cap, while providing a buffer against the first 10% (before fees, expenses and taxes) of SPY losses. The buffer is only provided by the Underlying ETFs. The Fund itself does not provide any buffer against losses. The Fund simply seeks to provide diversified exposure to all the Underlying ETFs in a single investment. In order to understand the Funds strategy and risks, it is important to understand the strategies and risks of the Underlying ETFs.
BUFRPerformance Measures**
for the time period Aug 11, 2020 to Dec 4, 2025
1M Trailing Return: 1.3%
The percent change in the value over the most recent 1-month period.
3M Trailing Return: 3.3%
The percent change in the value over the most recent 3-month period.
Max Drawdown: -13.7%
The greatest percent loss from peak to trough in value over the time period.
Standard Deviation: 10.5%
The typical amount that daily returns vary from the mean of the returns over the time period, standardized to a period of a year.
Sharpe Ratio: 1.01
The annualized arithmetic mean of the daily returns divided by the annualized standard deviation of the daily returns for the selected time period.
Calmar Ratio: 0.77
The annualized return divided by the max drawdown for the selected time period.
ETFs related toBUFR
ETFs correlated to BUFR include IVV, VOO, UPRO
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
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.