Correlation Between United Airlines and Hospital Mater
Can any of the company-specific risk be diversified away by investing in both United Airlines and Hospital Mater 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 United Airlines and Hospital Mater into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between United Airlines Holdings and Hospital Mater Dei, you can compare the effects of market volatilities on United Airlines and Hospital Mater 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 United Airlines with a short position of Hospital Mater. Check out your portfolio center. Please also check ongoing floating volatility patterns of United Airlines and Hospital Mater.
Diversification Opportunities for United Airlines and Hospital Mater
-0.8 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between United and Hospital is -0.8. Overlapping area represents the amount of risk that can be diversified away by holding United Airlines Holdings and Hospital Mater Dei in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hospital Mater Dei and United Airlines 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 United Airlines Holdings are associated (or correlated) with Hospital Mater. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hospital Mater Dei has no effect on the direction of United Airlines i.e., United Airlines and Hospital Mater go up and down completely randomly.
Pair Corralation between United Airlines and Hospital Mater
Assuming the 90 days trading horizon United Airlines Holdings is expected to generate 1.32 times more return on investment than Hospital Mater. However, United Airlines is 1.32 times more volatile than Hospital Mater Dei. It trades about 0.47 of its potential returns per unit of risk. Hospital Mater Dei is currently generating about -0.06 per unit of risk. If you would invest 12,300 in United Airlines Holdings on September 2, 2024 and sell it today you would earn a total of 16,914 from holding United Airlines Holdings or generate 137.51% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
United Airlines Holdings vs. Hospital Mater Dei
Performance |
Timeline |
United Airlines Holdings |
Hospital Mater Dei |
United Airlines and Hospital Mater Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with United Airlines and Hospital Mater
The main advantage of trading using opposite United Airlines and Hospital Mater positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if United Airlines position performs unexpectedly, Hospital Mater 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 Hospital Mater will offset losses from the drop in Hospital Mater's long position.United Airlines vs. MAHLE Metal Leve | United Airlines vs. Verizon Communications | United Airlines vs. Taiwan Semiconductor Manufacturing | United Airlines vs. Mangels Industrial 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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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