First Trust Alerian Disruptive Technology Real Estate ETF
Top 10 Holdings
What is DTRE?
The First Trust Alerian Disruptive Technology Real Estate ETF, formerly First Trust FTSE EPRA/NAREIT Developed Markets Real Estate Index Fund, seeks investment results that correspond generally to the price and yield (before the Fund's fees and expenses) of an equity index called the Alerian Disruptive Technology Real Estate Index. The Fund will normally invest at least 90% of its net assets (plus any borrowings for investment purposes) in the common stocks, real estate investment trusts ("REITs") and depository receipts that comprise the Index.
ETFs related toDTRE
ETFs correlated to DTRE include DFGR, AVRE, REET
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.
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.