Correlation Between Airbus Group and Huntington Ingalls
Can any of the company-specific risk be diversified away by investing in both Airbus Group and Huntington Ingalls 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 Airbus Group and Huntington Ingalls into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Airbus Group SE and Huntington Ingalls Industries, you can compare the effects of market volatilities on Airbus Group and Huntington Ingalls 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 Airbus Group with a short position of Huntington Ingalls. Check out your portfolio center. Please also check ongoing floating volatility patterns of Airbus Group and Huntington Ingalls.
Diversification Opportunities for Airbus Group and Huntington Ingalls
-0.6 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Airbus and Huntington is -0.6. Overlapping area represents the amount of risk that can be diversified away by holding Airbus Group SE and Huntington Ingalls Industries in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Huntington Ingalls and Airbus Group 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 Airbus Group SE are associated (or correlated) with Huntington Ingalls. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Huntington Ingalls has no effect on the direction of Airbus Group i.e., Airbus Group and Huntington Ingalls go up and down completely randomly.
Pair Corralation between Airbus Group and Huntington Ingalls
Assuming the 90 days horizon Airbus Group SE is expected to generate 0.76 times more return on investment than Huntington Ingalls. However, Airbus Group SE is 1.31 times less risky than Huntington Ingalls. It trades about 0.07 of its potential returns per unit of risk. Huntington Ingalls Industries is currently generating about -0.09 per unit of risk. If you would invest 14,387 in Airbus Group SE on September 30, 2024 and sell it today you would earn a total of 2,034 from holding Airbus Group SE or generate 14.14% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Airbus Group SE vs. Huntington Ingalls Industries
Performance |
Timeline |
Airbus Group SE |
Huntington Ingalls |
Airbus Group and Huntington Ingalls Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Airbus Group and Huntington Ingalls
The main advantage of trading using opposite Airbus Group and Huntington Ingalls positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Airbus Group position performs unexpectedly, Huntington Ingalls 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 Huntington Ingalls will offset losses from the drop in Huntington Ingalls' long position.Airbus Group vs. Moog Inc | Airbus Group vs. Park Electrochemical | Airbus Group vs. Triumph Group | Airbus Group vs. Eve Holding |
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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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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