Snapshot*
Top 10 Holdings
What is RFCI?
The Fund s portfolio is constructed through a two-step process, with the first step setting the allocation among different fixed income asset classes and the second step determining security selection within those asset classes. The allocation across long-term, medium-term and short-term investment grade securities, long-term and short-term high yield securities and emerging market debt is determined by a quantitative methodology. The methodology models historical returns as a function of initial valuation conditions and creates estimates of potential returns and downside risks consistent with historical market behavior. These capital market assumptions are incorporated into a patent-pending Mean Reversion Optimization (MRO) process to produce the index weighting within each of the major fixed income asset classes. The objective of this optimization is to construct a combination of fixed income asset classes that are expected to have a high probability of generating a positive potential total return over a five-year investment horizon.
RFCIPerformance Measures**
for the time period Jun 17, 2016 to Aug 6, 2026
1M Trailing Return: -0.6%
The percent change in the value over the most recent 1-month period.
3M Trailing Return: -0.3%
The percent change in the value over the most recent 3-month period.
Max Drawdown: -12.5%
The greatest percent loss from peak to trough in value over the time period.
Standard Deviation: 5.0%
The typical amount that daily returns vary from the mean of the returns over the time period, standardized to a period of a year.
Sharpe Ratio: 0.45
The annualized arithmetic mean of the daily returns divided by the annualized standard deviation of the daily returns for the selected time period.
Calmar Ratio: 0.17
The annualized return divided by the max drawdown for the selected time period.
ETFs related toRFCI
ETFs correlated to RFCI include AVIG, IGIB, SCHI
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.
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.