Snapshot*
Top 10 Holdings
What is PFFA?
The Fund seeks investment results that correspond, before fees and expenses, to the price and yield performance of the Indxx REIT Preferred Stock Index. Under normal market conditions, the fund will invest not less than 80% of its net assets (plus the amount of any borrowings for investment purposes) in U.S. preferred stock, and in derivatives and other instruments that have economic characteristics similar to such investments. The Sub-Adviser actively manages the funds assets pursuant to a variety of quantitative, qualitative and relative valuation factors. The fund is non-diversified.
ETFs related toPFFA
ETFs correlated to PFFA include PFXF, PFF, PGX
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.