Correlation Between Lockheed Martin and Huntington Ingalls
Can any of the company-specific risk be diversified away by investing in both Lockheed Martin 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 Lockheed Martin and Huntington Ingalls into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lockheed Martin and Huntington Ingalls Industries,, you can compare the effects of market volatilities on Lockheed Martin 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 Lockheed Martin with a short position of Huntington Ingalls. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lockheed Martin and Huntington Ingalls.
Diversification Opportunities for Lockheed Martin and Huntington Ingalls
0.69 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Lockheed and Huntington is 0.69. Overlapping area represents the amount of risk that can be diversified away by holding Lockheed Martin and Huntington Ingalls Industries, in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Huntington Ingalls and Lockheed Martin 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 Lockheed Martin 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 Lockheed Martin i.e., Lockheed Martin and Huntington Ingalls go up and down completely randomly.
Pair Corralation between Lockheed Martin and Huntington Ingalls
Assuming the 90 days trading horizon Lockheed Martin is expected to generate 0.8 times more return on investment than Huntington Ingalls. However, Lockheed Martin is 1.25 times less risky than Huntington Ingalls. It trades about 0.04 of its potential returns per unit of risk. Huntington Ingalls Industries, is currently generating about 0.02 per unit of risk. If you would invest 221,404 in Lockheed Martin on October 15, 2024 and sell it today you would earn a total of 64,657 from holding Lockheed Martin or generate 29.2% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 86.97% |
Values | Daily Returns |
Lockheed Martin vs. Huntington Ingalls Industries,
Performance |
Timeline |
Lockheed Martin |
Huntington Ingalls |
Lockheed Martin and Huntington Ingalls Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lockheed Martin and Huntington Ingalls
The main advantage of trading using opposite Lockheed Martin and Huntington Ingalls positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lockheed Martin 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.Lockheed Martin vs. Automatic Data Processing | Lockheed Martin vs. Pure Storage, | Lockheed Martin vs. Marfrig Global Foods | Lockheed Martin vs. Public Storage |
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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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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