Snapshot*
Top 10 Holdings
What is HFND?
The fund seeks to create a portfolio with return characteristics similar to the hedge fund industry's gross of fees returns, and believes the fund may outperform the hedge fund industry net of fees returns by charging comparatively lower expenses. The fund does this by using a proprietary machine learning algorithm to create a portfolio which best matches the most recent month's returns of each major hedge fund style (such as long/short equity, global macro, event-driven, fixed income arbitrage, emerging markets, managed futures, and multi-strategy). The fund then aggregates these portfolios based on the relative asset levels in each hedge fund style into a total hedge fund industry model. The fund's investment portfolio generally consists of long and short positions in 30 to 50 Underlying ETFs and futures contracts.
HFNDPerformance Measures**
for the time period Oct 11, 2022 to Jul 17, 2026
1M Trailing Return: -1.1%
The percent change in the value over the most recent 1-month period.
3M Trailing Return: 0.7%
The percent change in the value over the most recent 3-month period.
Max Drawdown: -13.3%
The greatest percent loss from peak to trough in value over the time period.
Standard Deviation: 9.5%
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: 0.88
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: 0.62
The annualized return divided by the max drawdown for the selected time period.
ETFs related toHFND
ETFs correlated to HFND include XAUG, AVGE, SPGM
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.