Day Hagan/Ned Davis Research Smart Sector Fixed Income ETF
Top 10 Holdings
What is SSFI?
Under normal market conditions, the Fund will invest, indirectly through the Underlying Funds, at least 80% of its net assets, plus the amount of any borrowings for investment purposes, in fixed income securities. The Fund may invest in Underlying Funds without any constraints as to the duration (i.e., the sensitivity of a fixed income security s price to interest rate changes), maturity, and country of domicile (including emerging market countries) of the securities held by the Underlying Funds. Certain of the Underlying Funds may hold, without limit, debt securities of any credit quality including below investment grade debt securities (also known as junk bonds). The Fund utilizes the Ned Davis Fixed Income Model developed by NDR, to determine its allocation to each Category. The model combines unique macroeconomic and technical indicators which (i) evaluate the relative attractiveness of Underlying Funds across Categories; (ii) reallocate assets from Categories with unfavorable characteristics to areas providing the greatest opportunities; and (iii) protect capital by lowering duration and reducing credit risk during weak economic environments. The indicators for each Category focus on risk/reward characteristics of each Category with the goal of investing in the areas that have the highest probability of maximizing total return. By combining multiple and diverse indicators, which historically have been shown to add value in Category allocation decisions, the model seeks to objectively assess the weight of the evidence and generate Category allocation recommendations. The Fund s allocation to a particular Category may be greater than 25%. Conversely, the Fund s allocation to a particular Category may be reduced to 0% if the Category s model composite is at low levels.
ETFs related toSSFI
ETFs correlated to SSFI include IUSB, AGG, BND
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.
Equity Index Rotation
Total Bond Market
Create your own algorithmic trading strategy with SSFI 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.