Correlation Between Comba Telecom and United Airlines
Can any of the company-specific risk be diversified away by investing in both Comba Telecom and United Airlines 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 Comba Telecom and United Airlines into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Comba Telecom Systems and United Airlines Holdings, you can compare the effects of market volatilities on Comba Telecom and United Airlines 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 Comba Telecom with a short position of United Airlines. Check out your portfolio center. Please also check ongoing floating volatility patterns of Comba Telecom and United Airlines.
Diversification Opportunities for Comba Telecom and United Airlines
-0.9 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Comba and United is -0.9. Overlapping area represents the amount of risk that can be diversified away by holding Comba Telecom Systems and United Airlines Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on United Airlines Holdings and Comba Telecom 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 Comba Telecom Systems are associated (or correlated) with United Airlines. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of United Airlines Holdings has no effect on the direction of Comba Telecom i.e., Comba Telecom and United Airlines go up and down completely randomly.
Pair Corralation between Comba Telecom and United Airlines
Assuming the 90 days trading horizon Comba Telecom Systems is expected to generate 1.22 times more return on investment than United Airlines. However, Comba Telecom is 1.22 times more volatile than United Airlines Holdings. It trades about 0.22 of its potential returns per unit of risk. United Airlines Holdings is currently generating about -0.14 per unit of risk. If you would invest 13.00 in Comba Telecom Systems on December 21, 2024 and sell it today you would earn a total of 9.00 from holding Comba Telecom Systems or generate 69.23% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Comba Telecom Systems vs. United Airlines Holdings
Performance |
Timeline |
Comba Telecom Systems |
United Airlines Holdings |
Comba Telecom and United Airlines Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Comba Telecom and United Airlines
The main advantage of trading using opposite Comba Telecom and United Airlines positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Comba Telecom position performs unexpectedly, United Airlines 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 United Airlines will offset losses from the drop in United Airlines' long position.Comba Telecom vs. NORDHEALTH AS NK | Comba Telecom vs. STRAYER EDUCATION | Comba Telecom vs. G8 EDUCATION | Comba Telecom vs. CVS Health |
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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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