Correlation Between United Airlines and Santos Brasil
Can any of the company-specific risk be diversified away by investing in both United Airlines and Santos Brasil 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 Santos Brasil 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 Santos Brasil Participaes, you can compare the effects of market volatilities on United Airlines and Santos Brasil 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 Santos Brasil. Check out your portfolio center. Please also check ongoing floating volatility patterns of United Airlines and Santos Brasil.
Diversification Opportunities for United Airlines and Santos Brasil
0.43 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between United and Santos is 0.43. Overlapping area represents the amount of risk that can be diversified away by holding United Airlines Holdings and Santos Brasil Participaes in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Santos Brasil Participaes 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 Santos Brasil. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Santos Brasil Participaes has no effect on the direction of United Airlines i.e., United Airlines and Santos Brasil go up and down completely randomly.
Pair Corralation between United Airlines and Santos Brasil
Assuming the 90 days trading horizon United Airlines Holdings is expected to generate 3.65 times more return on investment than Santos Brasil. However, United Airlines is 3.65 times more volatile than Santos Brasil Participaes. It trades about 0.25 of its potential returns per unit of risk. Santos Brasil Participaes is currently generating about 0.16 per unit of risk. If you would invest 29,200 in United Airlines Holdings on October 11, 2024 and sell it today you would earn a total of 2,450 from holding United Airlines Holdings or generate 8.39% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
United Airlines Holdings vs. Santos Brasil Participaes
Performance |
Timeline |
United Airlines Holdings |
Santos Brasil Participaes |
United Airlines and Santos Brasil Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with United Airlines and Santos Brasil
The main advantage of trading using opposite United Airlines and Santos Brasil positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if United Airlines position performs unexpectedly, Santos Brasil 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 Santos Brasil will offset losses from the drop in Santos Brasil's long position.United Airlines vs. Delta Air Lines | United Airlines vs. American Airlines Group | United Airlines vs. Alaska Air Group, | United Airlines vs. Gol Linhas Areas |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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