Correlation Between TYSON FOODS and American Airlines
Can any of the company-specific risk be diversified away by investing in both TYSON FOODS and American 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 TYSON FOODS and American Airlines into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between TYSON FOODS A and American Airlines Group, you can compare the effects of market volatilities on TYSON FOODS and American 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 TYSON FOODS with a short position of American Airlines. Check out your portfolio center. Please also check ongoing floating volatility patterns of TYSON FOODS and American Airlines.
Diversification Opportunities for TYSON FOODS and American Airlines
0.63 | Correlation Coefficient |
Poor diversification
The 3 months correlation between TYSON and American is 0.63. Overlapping area represents the amount of risk that can be diversified away by holding TYSON FOODS A and American Airlines Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on American Airlines and TYSON FOODS 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 TYSON FOODS A are associated (or correlated) with American Airlines. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of American Airlines has no effect on the direction of TYSON FOODS i.e., TYSON FOODS and American Airlines go up and down completely randomly.
Pair Corralation between TYSON FOODS and American Airlines
Assuming the 90 days trading horizon TYSON FOODS A is expected to under-perform the American Airlines. But the stock apears to be less risky and, when comparing its historical volatility, TYSON FOODS A is 5.97 times less risky than American Airlines. The stock trades about -0.67 of its potential returns per unit of risk. The American Airlines Group is currently generating about 0.24 of returns per unit of risk over similar time horizon. If you would invest 1,358 in American Airlines Group on October 4, 2024 and sell it today you would earn a total of 290.00 from holding American Airlines Group or generate 21.35% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
TYSON FOODS A vs. American Airlines Group
Performance |
Timeline |
TYSON FOODS A |
American Airlines |
TYSON FOODS and American Airlines Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with TYSON FOODS and American Airlines
The main advantage of trading using opposite TYSON FOODS and American Airlines positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if TYSON FOODS position performs unexpectedly, American 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 American Airlines will offset losses from the drop in American Airlines' long position.TYSON FOODS vs. CONAGRA FOODS | TYSON FOODS vs. GRIFFIN MINING LTD | TYSON FOODS vs. Perseus Mining Limited | TYSON FOODS vs. Food Life Companies |
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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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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