Schwab Fundamental U.S. Small Company Index ETF
Top 10 Holdings
What is FNDA?
The funds goal is to track as closely as possible, before fees and expenses, the total return of the Russell RAFI US Small Company Index. The Fund can serve as part of the core or complement to market-cap indexing and active management in a diversified portfolio.
ETFs related toFNDA
ETFs correlated to FNDA include DFAS, IJR, SPSM
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.
Follow the Global Trend
Momentum, Lever Up, Go Global, Diversification
Spread Across the Market
Getting Defensive, Investing for the Long-Term
Create your own algorithmic trading strategy with FNDA using Composer
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.