Correlation Between American Airlines and Lloyds Banking
Can any of the company-specific risk be diversified away by investing in both American Airlines and Lloyds Banking 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 American Airlines and Lloyds Banking into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between American Airlines Group and Lloyds Banking Group, you can compare the effects of market volatilities on American Airlines and Lloyds Banking 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 American Airlines with a short position of Lloyds Banking. Check out your portfolio center. Please also check ongoing floating volatility patterns of American Airlines and Lloyds Banking.
Diversification Opportunities for American Airlines and Lloyds Banking
-0.39 | Correlation Coefficient |
Very good diversification
The 3 months correlation between American and Lloyds is -0.39. Overlapping area represents the amount of risk that can be diversified away by holding American Airlines Group and Lloyds Banking Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lloyds Banking Group and American 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 American Airlines Group are associated (or correlated) with Lloyds Banking. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lloyds Banking Group has no effect on the direction of American Airlines i.e., American Airlines and Lloyds Banking go up and down completely randomly.
Pair Corralation between American Airlines and Lloyds Banking
Assuming the 90 days trading horizon American Airlines Group is expected to generate 1.05 times more return on investment than Lloyds Banking. However, American Airlines is 1.05 times more volatile than Lloyds Banking Group. It trades about 0.05 of its potential returns per unit of risk. Lloyds Banking Group is currently generating about 0.05 per unit of risk. If you would invest 6,733 in American Airlines Group on September 23, 2024 and sell it today you would earn a total of 3,637 from holding American Airlines Group or generate 54.02% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 99.8% |
Values | Daily Returns |
American Airlines Group vs. Lloyds Banking Group
Performance |
Timeline |
American Airlines |
Lloyds Banking Group |
American Airlines and Lloyds Banking Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with American Airlines and Lloyds Banking
The main advantage of trading using opposite American Airlines and Lloyds Banking positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if American Airlines position performs unexpectedly, Lloyds Banking 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 Lloyds Banking will offset losses from the drop in Lloyds Banking's long position.American Airlines vs. Take Two Interactive Software | American Airlines vs. Bemobi Mobile Tech | American Airlines vs. New Oriental Education | American Airlines vs. Paycom Software |
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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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