Correlation Between Huntington Ingalls and Science Applications
Can any of the company-specific risk be diversified away by investing in both Huntington Ingalls and Science Applications 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 Huntington Ingalls and Science Applications into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Huntington Ingalls Industries and Science Applications International, you can compare the effects of market volatilities on Huntington Ingalls and Science Applications 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 Huntington Ingalls with a short position of Science Applications. Check out your portfolio center. Please also check ongoing floating volatility patterns of Huntington Ingalls and Science Applications.
Diversification Opportunities for Huntington Ingalls and Science Applications
0.02 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Huntington and Science is 0.02. Overlapping area represents the amount of risk that can be diversified away by holding Huntington Ingalls Industries and Science Applications Internati in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Science Applications and Huntington Ingalls 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 Huntington Ingalls Industries are associated (or correlated) with Science Applications. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Science Applications has no effect on the direction of Huntington Ingalls i.e., Huntington Ingalls and Science Applications go up and down completely randomly.
Pair Corralation between Huntington Ingalls and Science Applications
Considering the 90-day investment horizon Huntington Ingalls Industries is expected to generate 0.59 times more return on investment than Science Applications. However, Huntington Ingalls Industries is 1.7 times less risky than Science Applications. It trades about 0.2 of its potential returns per unit of risk. Science Applications International is currently generating about -0.02 per unit of risk. If you would invest 22,469 in Huntington Ingalls Industries on April 25, 2025 and sell it today you would earn a total of 3,864 from holding Huntington Ingalls Industries or generate 17.2% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Huntington Ingalls Industries vs. Science Applications Internati
Performance |
Timeline |
Huntington Ingalls |
Science Applications |
Huntington Ingalls and Science Applications Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Huntington Ingalls and Science Applications
The main advantage of trading using opposite Huntington Ingalls and Science Applications positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Huntington Ingalls position performs unexpectedly, Science Applications 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 Science Applications will offset losses from the drop in Science Applications' long position.Huntington Ingalls vs. Lockheed Martin | Huntington Ingalls vs. General Dynamics | Huntington Ingalls vs. Raytheon Technologies Corp | Huntington Ingalls vs. L3Harris Technologies |
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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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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