Correlation Between AIM ETF and FT Cboe

Can any of the company-specific risk be diversified away by investing in both AIM ETF and FT Cboe 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 FT Cboe 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 FT Cboe Vest, you can compare the effects of market volatilities on AIM ETF and FT Cboe 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 FT Cboe. Check out your portfolio center. Please also check ongoing floating volatility patterns of AIM ETF and FT Cboe.

Diversification Opportunities for AIM ETF and FT Cboe

0.95

Correlation Coefficient

AIM ETF  FT Cboe

Almost no diversification

The 3 months correlation between AIM and DSEP is 0.95. Overlapping area represents the amount of risk that can be diversified away by holding AIM ETF Products and FT Cboe Vest in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on FT Cboe Vest 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 FT Cboe. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of FT Cboe Vest has no effect on the direction of AIM ETF i.e., AIM ETF and FT Cboe go up and down completely randomly.

Pair Corralation between AIM ETF and FT Cboe

Given the investment horizon of 90 days AIM ETF Products is expected to under-perform the FT Cboe. In addition to that, AIM ETF is 1.3 times more volatile than FT Cboe Vest. It trades about -0.08 of its total potential returns per unit of risk. FT Cboe Vest is currently generating about -0.05 per unit of volatility. If you would invest  4,095  in FT Cboe Vest on October 6, 2024 and sell it today you would lose (19.00) from holding FT Cboe Vest or give up 0.46% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Very Strong
Accuracy	100.0%
Values	Daily Returns

AIM ETF Products  vs.  FT Cboe Vest

AIM ETF Products

Risk-Adjusted Performance

11 of 100

Good

Compared to the overall equity markets, risk-adjusted returns on investments in AIM ETF Products are ranked lower than 11 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively stable fundamental drivers, AIM ETF is not utilizing all of its potentials. The latest stock price uproar, may contribute to short-horizon losses for the private investors.

FT Cboe Vest

Risk-Adjusted Performance

9 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in FT Cboe Vest are ranked lower than 9 (%) of all global equities and portfolios over the last 90 days. Even with relatively invariable technical and fundamental indicators, FT Cboe is not utilizing all of its potentials. The current stock price agitation, may contribute to short-term losses for the retail investors.

Pair Trading with AIM ETF and FT Cboe

The main advantage of trading using opposite AIM ETF and FT Cboe positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if AIM ETF position performs unexpectedly, FT Cboe 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 FT Cboe will offset losses from the drop in FT Cboe's long position.

The idea behind AIM ETF Products and FT Cboe Vest 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.

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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 Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.