Correlation Between United Airlines and CREDIT AGRICOLE
Can any of the company-specific risk be diversified away by investing in both United Airlines and CREDIT AGRICOLE 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 CREDIT AGRICOLE 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 CREDIT AGRICOLE, you can compare the effects of market volatilities on United Airlines and CREDIT AGRICOLE 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 CREDIT AGRICOLE. Check out your portfolio center. Please also check ongoing floating volatility patterns of United Airlines and CREDIT AGRICOLE.
Diversification Opportunities for United Airlines and CREDIT AGRICOLE
-0.75 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between United and CREDIT is -0.75. Overlapping area represents the amount of risk that can be diversified away by holding United Airlines Holdings and CREDIT AGRICOLE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CREDIT AGRICOLE 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 CREDIT AGRICOLE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CREDIT AGRICOLE has no effect on the direction of United Airlines i.e., United Airlines and CREDIT AGRICOLE go up and down completely randomly.
Pair Corralation between United Airlines and CREDIT AGRICOLE
Assuming the 90 days trading horizon United Airlines Holdings is expected to generate 2.77 times more return on investment than CREDIT AGRICOLE. However, United Airlines is 2.77 times more volatile than CREDIT AGRICOLE. It trades about 0.07 of its potential returns per unit of risk. CREDIT AGRICOLE is currently generating about 0.01 per unit of risk. If you would invest 8,994 in United Airlines Holdings on September 23, 2024 and sell it today you would earn a total of 329.00 from holding United Airlines Holdings or generate 3.66% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
United Airlines Holdings vs. CREDIT AGRICOLE
Performance |
Timeline |
United Airlines Holdings |
CREDIT AGRICOLE |
United Airlines and CREDIT AGRICOLE Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with United Airlines and CREDIT AGRICOLE
The main advantage of trading using opposite United Airlines and CREDIT AGRICOLE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if United Airlines position performs unexpectedly, CREDIT AGRICOLE 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 CREDIT AGRICOLE will offset losses from the drop in CREDIT AGRICOLE's long position.United Airlines vs. Delta Air Lines | United Airlines vs. Air China Limited | United Airlines vs. AIR CHINA LTD | United Airlines vs. RYANAIR HLDGS ADR |
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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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