Correlation Between United Airlines and Fonix Mobile
Can any of the company-specific risk be diversified away by investing in both United Airlines and Fonix Mobile 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 Fonix Mobile 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 Fonix Mobile plc, you can compare the effects of market volatilities on United Airlines and Fonix Mobile 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 Fonix Mobile. Check out your portfolio center. Please also check ongoing floating volatility patterns of United Airlines and Fonix Mobile.
Diversification Opportunities for United Airlines and Fonix Mobile
-0.37 | Correlation Coefficient |
Very good diversification
The 3 months correlation between United and Fonix is -0.37. Overlapping area represents the amount of risk that can be diversified away by holding United Airlines Holdings and Fonix Mobile plc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fonix Mobile plc 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 Fonix Mobile. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fonix Mobile plc has no effect on the direction of United Airlines i.e., United Airlines and Fonix Mobile go up and down completely randomly.
Pair Corralation between United Airlines and Fonix Mobile
Assuming the 90 days trading horizon United Airlines is expected to generate 2.41 times less return on investment than Fonix Mobile. But when comparing it to its historical volatility, United Airlines Holdings is 2.11 times less risky than Fonix Mobile. It trades about 0.13 of its potential returns per unit of risk. Fonix Mobile plc is currently generating about 0.14 of returns per unit of risk over similar time horizon. If you would invest 19,650 in Fonix Mobile plc on October 12, 2024 and sell it today you would earn a total of 1,750 from holding Fonix Mobile plc or generate 8.91% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 95.0% |
Values | Daily Returns |
United Airlines Holdings vs. Fonix Mobile plc
Performance |
Timeline |
United Airlines Holdings |
Fonix Mobile plc |
United Airlines and Fonix Mobile Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with United Airlines and Fonix Mobile
The main advantage of trading using opposite United Airlines and Fonix Mobile positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if United Airlines position performs unexpectedly, Fonix Mobile 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 Fonix Mobile will offset losses from the drop in Fonix Mobile's long position.United Airlines vs. European Metals Holdings | United Airlines vs. Gaztransport et Technigaz | United Airlines vs. McEwen Mining | United Airlines vs. Cornish Metals |
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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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