Correlation Between Omega Healthcare and Lockheed Martin
Can any of the company-specific risk be diversified away by investing in both Omega Healthcare and Lockheed Martin 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 Omega Healthcare and Lockheed Martin into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Omega Healthcare Investors, and Lockheed Martin, you can compare the effects of market volatilities on Omega Healthcare and Lockheed Martin 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 Omega Healthcare with a short position of Lockheed Martin. Check out your portfolio center. Please also check ongoing floating volatility patterns of Omega Healthcare and Lockheed Martin.
Diversification Opportunities for Omega Healthcare and Lockheed Martin
-0.16 | Correlation Coefficient |
Good diversification
The 3 months correlation between Omega and Lockheed is -0.16. Overlapping area represents the amount of risk that can be diversified away by holding Omega Healthcare Investors, and Lockheed Martin in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lockheed Martin and Omega Healthcare 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 Omega Healthcare Investors, are associated (or correlated) with Lockheed Martin. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lockheed Martin has no effect on the direction of Omega Healthcare i.e., Omega Healthcare and Lockheed Martin go up and down completely randomly.
Pair Corralation between Omega Healthcare and Lockheed Martin
Assuming the 90 days trading horizon Omega Healthcare Investors, is expected to generate 1.11 times more return on investment than Lockheed Martin. However, Omega Healthcare is 1.11 times more volatile than Lockheed Martin. It trades about -0.01 of its potential returns per unit of risk. Lockheed Martin is currently generating about -0.04 per unit of risk. If you would invest 7,799 in Omega Healthcare Investors, on October 24, 2024 and sell it today you would lose (175.00) from holding Omega Healthcare Investors, or give up 2.24% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 96.61% |
Values | Daily Returns |
Omega Healthcare Investors, vs. Lockheed Martin
Performance |
Timeline |
Omega Healthcare Inv |
Lockheed Martin |
Omega Healthcare and Lockheed Martin Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Omega Healthcare and Lockheed Martin
The main advantage of trading using opposite Omega Healthcare and Lockheed Martin positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Omega Healthcare position performs unexpectedly, Lockheed Martin 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 Lockheed Martin will offset losses from the drop in Lockheed Martin's long position.Omega Healthcare vs. Palantir Technologies | Omega Healthcare vs. Zebra Technologies | Omega Healthcare vs. Raytheon Technologies | Omega Healthcare vs. Metalrgica Riosulense SA |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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