FT Cboe Vest U.S. Equity Deep Buffer ETF - May
Top 10 Holdings
What is DMAY?
The investment objective of the FT Cboe Vest U.S. Equity Deep Buffer ETF - May is to seek to provide investors with returns (before fees, expenses and taxes) that match the price return of the SPDR S&P 500 ETF Trust (the "Underlying ETF"), up to a predetermined upside cap of 9.95% (before fees, expenses and taxes) and 9.09% (after fees and expenses, excluding brokerage commissions, trading fees, taxes and extraordinary expenses not included in the Funds management fee), while providing a buffer against Underlying ETF losses between -5% and -30% (before fees, expenses and taxes) over the period from May 18, 2020 to May 21, 2021. Under normal market conditions, the Fund will invest substantially all of its assets in FLexible Exchange Options that reference the performance of the SPDR S&P 500 ETF Trust.
ETFs related toDMAY
ETFs correlated to DMAY include FMAY, BJUL, PJUL
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.
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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.