Snapshot*
Top 10 Holdings
What is ACES?
The Fund seeks investment results that correspond (before fees and expenses) generally to the performance of its underlying index, the CIBC Atlas Clean Energy Index (ticker symbol NACEX) (the Underlying Index ). The Underlying Index utilizes a rules-based methodology developed by CIBC National Trust Company (the Index Provider ), which is designed to provide exposure to a diverse set of U.S. and Canadian companies involved in the clean energy sector including renewables and clean technology. The clean energy sector is comprised of companies that provide the products and services that enable the evolution of a more sustainable energy sector. Clean energy business segments include, but are not limited to, the following activities: (i) renewable energy sources, including solar power, wind power, hydroelectricity, geothermal energy, biomass, biofuels, and tidal/wave energy, (ii) clean technologies, including electric vehicles, energy storage, lithium, fuel cell, LED, smart grid, and energy efficiency technologies and (iii) other emerging clean energy activities and technologies.
ACESPerformance Measures**
for the time period Jun 29, 2018 to Dec 4, 2025
1M Trailing Return: -0.7%
The percent change in the value over the most recent 1-month period.
3M Trailing Return: 16.2%
The percent change in the value over the most recent 3-month period.
Max Drawdown: -79.1%
The greatest percent loss from peak to trough in value over the time period.
Standard Deviation: 35.8%
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: 0.32
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: 0.06
The annualized return divided by the max drawdown for the selected time period.
ETFs related toACES
ETFs correlated to ACES include QCLN, PBW, CNRG
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.