Cabana Target Leading Sector Moderate ETF
Top 10 Holdings
What is CLSM?
Cabana Target Leading Sector Moderate (CLSM) seeks to provide long-term growth. The fund seeks to achieve this objective primarily by allocating among ETFs that invest in companies of various sectors of the U.S. market. The fund selects investments in sectors of the market that it identifies utilizing a strategy designed to optimize performance while seeking to manage portfolio volatility and reduce exposure to down markets. The fund may invest in ETFs that provide exposure to additional asset classes, such as fixed income, commodities, real estate, and currencies to achieve its objective.
ETFs related toCLSM
ETFs correlated to CLSM include TDSC, SPD, NUSI
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.