AGF Global Infrastructure ETF
Top 10 Holdings
What is GLIF?
The Fund is an actively managed exchange-traded fund ( ETF ) that seeks to achieve its investment objective by using a proprietary, multi-factor quantitative model to evaluate securities of issuers in the infrastructure group of industries by evaluating and ranking equity securities based on factors that identify growth, value, quality and risk characteristics. The Adviser also incorporates constraints/controls (in relation to country, industry, group, sector and individual security concentrations) that are designed to foster portfolio diversi cation, liquidity and risk mitigation.
ETFs related toGLIF
ETFs correlated to GLIF include TOLZ, NFRA, GII
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.