Correlation Between Omega Healthcare and Coor Service
Can any of the company-specific risk be diversified away by investing in both Omega Healthcare and Coor Service 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 Coor Service 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 Coor Service Management, you can compare the effects of market volatilities on Omega Healthcare and Coor Service 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 Coor Service. Check out your portfolio center. Please also check ongoing floating volatility patterns of Omega Healthcare and Coor Service.
Diversification Opportunities for Omega Healthcare and Coor Service
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Omega and Coor is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Omega Healthcare Investors and Coor Service Management in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Coor Service Management 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 Coor Service. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Coor Service Management has no effect on the direction of Omega Healthcare i.e., Omega Healthcare and Coor Service go up and down completely randomly.
Pair Corralation between Omega Healthcare and Coor Service
Assuming the 90 days trading horizon Omega Healthcare Investors is expected to generate 0.62 times more return on investment than Coor Service. However, Omega Healthcare Investors is 1.61 times less risky than Coor Service. It trades about -0.06 of its potential returns per unit of risk. Coor Service Management is currently generating about -0.21 per unit of risk. If you would invest 4,007 in Omega Healthcare Investors on September 23, 2024 and sell it today you would lose (220.00) from holding Omega Healthcare Investors or give up 5.49% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Flat |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Omega Healthcare Investors vs. Coor Service Management
Performance |
Timeline |
Omega Healthcare Inv |
Coor Service Management |
Omega Healthcare and Coor Service Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Omega Healthcare and Coor Service
The main advantage of trading using opposite Omega Healthcare and Coor Service positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Omega Healthcare position performs unexpectedly, Coor Service 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 Coor Service will offset losses from the drop in Coor Service's long position.Omega Healthcare vs. Uniper SE | Omega Healthcare vs. Mulberry Group PLC | Omega Healthcare vs. London Security Plc | Omega Healthcare vs. Triad Group PLC |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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