Correlation Between ETF Opportunities and AIM ETF
Can any of the company-specific risk be diversified away by investing in both ETF Opportunities and AIM ETF 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 ETF Opportunities and AIM ETF into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ETF Opportunities Trust and AIM ETF Products, you can compare the effects of market volatilities on ETF Opportunities and AIM ETF 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 ETF Opportunities with a short position of AIM ETF. Check out your portfolio center. Please also check ongoing floating volatility patterns of ETF Opportunities and AIM ETF.
Diversification Opportunities for ETF Opportunities and AIM ETF
0.94 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between ETF and AIM is 0.94. Overlapping area represents the amount of risk that can be diversified away by holding ETF Opportunities Trust and AIM ETF Products in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on AIM ETF Products and ETF Opportunities 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 ETF Opportunities Trust are associated (or correlated) with AIM ETF. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of AIM ETF Products has no effect on the direction of ETF Opportunities i.e., ETF Opportunities and AIM ETF go up and down completely randomly.
Pair Corralation between ETF Opportunities and AIM ETF
Given the investment horizon of 90 days ETF Opportunities Trust is expected to generate 4.68 times more return on investment than AIM ETF. However, ETF Opportunities is 4.68 times more volatile than AIM ETF Products. It trades about 0.12 of its potential returns per unit of risk. AIM ETF Products is currently generating about 0.16 per unit of risk. If you would invest 3,390 in ETF Opportunities Trust on September 9, 2025 and sell it today you would earn a total of 224.00 from holding ETF Opportunities Trust or generate 6.61% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
ETF Opportunities Trust vs. AIM ETF Products
Performance |
| Timeline |
| ETF Opportunities Trust |
| AIM ETF Products |
ETF Opportunities and AIM ETF Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with ETF Opportunities and AIM ETF
The main advantage of trading using opposite ETF Opportunities and AIM ETF positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ETF Opportunities position performs unexpectedly, AIM ETF 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 AIM ETF will offset losses from the drop in AIM ETF's long position.| ETF Opportunities vs. Innovator ETFs Trust | ETF Opportunities vs. Cabana Target Drawdown | ETF Opportunities vs. SGI Dynamic Tactical | ETF Opportunities vs. FlexShares ESG Climate |
| AIM ETF vs. AIM ETF Products | AIM ETF vs. FT Vest Equity | AIM ETF vs. AIM ETF Products | AIM ETF vs. AIM ETF Products |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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