Snapshot*
Top 10 Holdings
What is SPHB?
The Invesco S&P 500 High Beta ETF (Fund) is based on the S&P 500 High Beta Index (Index). The Fund will invest at least 90% of its total assets in common stocks that comprise the Index. The Index is compiled, maintained and calculated by Standard & Poors and consists of the 100 stocks from the S&P 500 Index with the highest sensitivity to market movements, or beta, over the past 12 months. Beta is a measure of relative risk and is the rate of change of a securitys price. The Fund and the Index are rebalanced and reconstituted quarterly in February, May, August and November.
SPHBPerformance Measures**
for the time period May 5, 2011 to Dec 4, 2025
1M Trailing Return: 4.4%
The percent change in the value over the most recent 1-month period.
3M Trailing Return: 11.3%
The percent change in the value over the most recent 3-month period.
Max Drawdown: -46.8%
The greatest percent loss from peak to trough in value over the time period.
Standard Deviation: 27.4%
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: 0.57
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: 0.27
The annualized return divided by the max drawdown for the selected time period.
ETFs related toSPHB
ETFs correlated to SPHB include HIBL, IWP, QQQE
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.
Trading Strategies
Related toSPHB
Wooden ARKK Machine 2.2a
Category
Tactical, mean-reversion, momentum filter, leveraged/inverse ETFs, single-position, daily, risk-managed, multi-asset
OOS Cumulative Return
584.43%
Wooden ARKK Machine 2.2
Category
Leveraged ETFs, Mean reversion, Regime filter, Daily rebalance, Single-position, Inverse ETFs
OOS Cumulative Return
561.07%
Create your own algorithmic trading strategy with SPHB using Composer
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.