Correlation Between FT Cboe and AIM ETF
Can any of the company-specific risk be diversified away by investing in both FT Cboe 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 FT Cboe and AIM ETF into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between FT Cboe Vest and AIM ETF Products, you can compare the effects of market volatilities on FT Cboe 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 FT Cboe with a short position of AIM ETF. Check out your portfolio center. Please also check ongoing floating volatility patterns of FT Cboe and AIM ETF.
Diversification Opportunities for FT Cboe and AIM ETF
Almost no diversification
The 3 months correlation between DNOV and AIM is 0.95. Overlapping area represents the amount of risk that can be diversified away by holding FT Cboe Vest 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 FT Cboe 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 FT Cboe Vest 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 FT Cboe i.e., FT Cboe and AIM ETF go up and down completely randomly.
Pair Corralation between FT Cboe and AIM ETF
Given the investment horizon of 90 days FT Cboe is expected to generate 1.12 times less return on investment than AIM ETF. But when comparing it to its historical volatility, FT Cboe Vest is 3.56 times less risky than AIM ETF. It trades about 0.69 of its potential returns per unit of risk. AIM ETF Products is currently generating about 0.22 of returns per unit of risk over similar time horizon. If you would invest 2,746 in AIM ETF Products on August 29, 2024 and sell it today you would earn a total of 51.00 from holding AIM ETF Products or generate 1.86% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
FT Cboe Vest vs. AIM ETF Products
Performance |
Timeline |
FT Cboe Vest |
AIM ETF Products |
FT Cboe and AIM ETF Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with FT Cboe and AIM ETF
The main advantage of trading using opposite FT Cboe and AIM ETF positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if FT Cboe 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.The idea behind FT Cboe Vest and AIM ETF Products 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.AIM ETF vs. FT Vest Equity | AIM ETF vs. Northern Lights | AIM ETF vs. Dimensional International High | AIM ETF vs. First Trust Exchange Traded |
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 Valuation module to check real value of public entities based on technical and fundamental data.
Other Complementary Tools
Performance Analysis Check effects of mean-variance optimization against your current asset allocation | |
Efficient Frontier Plot and analyze your portfolio and positions against risk-return landscape of the market. | |
Portfolio Manager State of the art Portfolio Manager to monitor and improve performance of your invested capital | |
Portfolio Analyzer Portfolio analysis module that provides access to portfolio diagnostics and optimization engine | |
Theme Ratings Determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance |