Snapshot*
Top 10 Holdings
What is NDIV?
NDIV seeks investment results that generally correspond to the price and yield of the EQM Natural Resources Dividend Income Index. The Index is comprised of dividend-paying U.S. exchange-listed equities operating primarily in the natural resource and commodity-related industries such as: energy, chemicals, agriculture, metals & mining, paper products, and timber.
ETFs related toNDIV
ETFs correlated to NDIV include IGE, GUNR, GNR
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 toNDIV
Follow the Global Trend
Create your own algorithmic trading strategy with NDIV 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.