AdvisorShares Trust AdvisorShares Dorsey Wright FSM US Core ETF
Top 10 Holdings
What is DWUS?
The AdvisorShares Dorsey Wright FSM U.S. Core ETF (Ticker: DWUS) is an actively managed U.S core rotation strategy using a technical and systematically-driven investment process and offering domestic large cap equity exposure through various market-oriented styles and factors within the tax-efficient structure of an ETF. The Fund is an actively managed exchange-traded fund ( ETF ) that is primarily a fund of funds. The Advisor seeks to achieve the Fund s investment objective by investing in ETFs that invest primarily in domestic large capitalization equity securities. During periods in which the Advisor believes the market indicates broad equity weakness and cash strength, the Fund invests in fixed income ETFs with a short or ultra-short duration, money market funds, cash and cash equivalents ( Defensive Investments ).
ETFs related toDWUS
ETFs correlated to DWUS include XLSR, VOOV, IVE
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.
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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.