Correlation Between Rheinmetall and Huntington Ingalls
Can any of the company-specific risk be diversified away by investing in both Rheinmetall 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 Rheinmetall and Huntington Ingalls into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Rheinmetall AG and Huntington Ingalls Industries, you can compare the effects of market volatilities on Rheinmetall 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 Rheinmetall with a short position of Huntington Ingalls. Check out your portfolio center. Please also check ongoing floating volatility patterns of Rheinmetall and Huntington Ingalls.
Diversification Opportunities for Rheinmetall and Huntington Ingalls
-0.45 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Rheinmetall and Huntington is -0.45. Overlapping area represents the amount of risk that can be diversified away by holding Rheinmetall AG and Huntington Ingalls Industries in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Huntington Ingalls and Rheinmetall 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 Rheinmetall AG 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 Rheinmetall i.e., Rheinmetall and Huntington Ingalls go up and down completely randomly.
Pair Corralation between Rheinmetall and Huntington Ingalls
Assuming the 90 days horizon Rheinmetall AG is expected to generate 1.43 times more return on investment than Huntington Ingalls. However, Rheinmetall is 1.43 times more volatile than Huntington Ingalls Industries. It trades about 0.45 of its potential returns per unit of risk. Huntington Ingalls Industries is currently generating about 0.04 per unit of risk. If you would invest 50,280 in Rheinmetall AG on September 4, 2024 and sell it today you would earn a total of 15,870 from holding Rheinmetall AG or generate 31.56% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Rheinmetall AG vs. Huntington Ingalls Industries
Performance |
| Timeline |
| Rheinmetall AG |
| Huntington Ingalls |
Rheinmetall and Huntington Ingalls Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Rheinmetall and Huntington Ingalls
The main advantage of trading using opposite Rheinmetall and Huntington Ingalls positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Rheinmetall 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.| Rheinmetall vs. Lockheed Martin | Rheinmetall vs. BAE Systems PLC | Rheinmetall vs. Qinetiq Group PLC | Rheinmetall vs. Leonardo SpA ADR |
| Huntington Ingalls vs. Archer Aviation | Huntington Ingalls vs. Rocket Lab USA | Huntington Ingalls vs. Lilium NV | Huntington Ingalls vs. HEICO |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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