Correlation Between AIM ETF and Innovator
Can any of the company-specific risk be diversified away by investing in both AIM ETF and Innovator at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining AIM ETF and Innovator into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between AIM ETF Products and Innovator SP 500, you can compare the effects of market volatilities on AIM ETF and Innovator and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in AIM ETF with a short position of Innovator. Check out your portfolio center. Please also check ongoing floating volatility patterns of AIM ETF and Innovator.
Diversification Opportunities for AIM ETF and Innovator
No risk reduction
The 3 months correlation between AIM and Innovator is 0.99. Overlapping area represents the amount of risk that can be diversified away by holding AIM ETF Products and Innovator SP 500 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Innovator SP 500 and AIM ETF is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on AIM ETF Products are associated (or correlated) with Innovator. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Innovator SP 500 has no effect on the direction of AIM ETF i.e., AIM ETF and Innovator go up and down completely randomly.
Pair Corralation between AIM ETF and Innovator
Given the investment horizon of 90 days AIM ETF is expected to generate 1.79 times less return on investment than Innovator. But when comparing it to its historical volatility, AIM ETF Products is 1.99 times less risky than Innovator. It trades about 0.27 of its potential returns per unit of risk. Innovator SP 500 is currently generating about 0.24 of returns per unit of risk over similar time horizon. If you would invest 4,695 in Innovator SP 500 on September 26, 2024 and sell it today you would earn a total of 89.00 from holding Innovator SP 500 or generate 1.9% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 97.62% |
Values | Daily Returns |
AIM ETF Products vs. Innovator SP 500
Performance |
Timeline |
AIM ETF Products |
Innovator SP 500 |
AIM ETF and Innovator Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with AIM ETF and Innovator
The main advantage of trading using opposite AIM ETF and Innovator positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if AIM ETF position performs unexpectedly, Innovator can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Innovator will offset losses from the drop in Innovator's long position.The idea behind AIM ETF Products and Innovator SP 500 pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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