Cambria Foreign Shareholder Yield ETF
Top 10 Holdings
What is FYLD?
The Cambria Foreign Shareholder Yield ETF utilizes a quantitative approach to invest in foreign developed equities with high cash distribution characteristics. The initial screening universe includes stocks in foreign developed countries with market capitalizations over $200 million. The ETF is comprised of the 100 companies with the best combined rank of dividend payments and net stock buybacks, which are the key components of shareholder yield. The ETF also screens for value and quality factors, including low financial leverage.
ETFs related toFYLD
ETFs correlated to FYLD include AVIV, DFIV, ICOW
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.