Snapshot*
What is GGRW?
The Fund will primarily invest in common stocks of companies that are relevant to the Fund s investment theme of innovation. The Adviser defines innovation as the introduction of new technologies, products or services that redefines how businesses operate. The Fund seeks to invest in companies whose prospects for earnings growth remain undervalued. The Fund may also invest in foreign securities by investing in American Depositary Receipts.
ETFs related toGGRW
ETFs correlated to GGRW include VUG, TCHP, SCHG
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.
Automated Strategies
Related toGGRW
Controlling for Volatility
Follow the Global Trend
Create your own algorithmic trading strategy with GGRW using Composer
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.