Snapshot*
Top 10 Holdings
What is CLIX?
E-commerce sales are growing at a rapid pace and undermining in-store retail as consumer habits change and shoppers move online. As popular as they may seem now, online retailers like Amazon and Alibaba only account for about 10% of global retail sales, leaving tremendous room for growth. Physical retailers are under immense pressure. Sales have been declining and profit margins are approaching lows not seen since the recession. Over 30 major retailers have declared bankruptcy in the past three years, and longstanding names like J.C. Penney and Macys are struggling to remain viable. CLIX combines a 100% long position in retailers that primarily sell online or through other non-store channels with a 50% short position in those that rely principally on physical stores. Investors have the opportunity to benefit from both outperforming online and underperforming physical retailers. The long/short structure also reduces equity market exposure and potentially results in less volatility than long-only equity strategies.
CLIXPerformance Measures**
for the time period Nov 16, 2017 to Dec 4, 2025
1M Trailing Return: -0.0%
The percent change in the value over the most recent 1-month period.
3M Trailing Return: 6.5%
The percent change in the value over the most recent 3-month period.
Max Drawdown: -73.2%
The greatest percent loss from peak to trough in value over the time period.
Standard Deviation: 26.1%
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: 0.34
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: 0.07
The annualized return divided by the max drawdown for the selected time period.
ETFs related toCLIX
ETFs correlated to CLIX include IBUY, PNQI, IPO
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.