Correlation Between American Airlines and Tsingtao Brewery
Can any of the company-specific risk be diversified away by investing in both American Airlines and Tsingtao Brewery 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 Tsingtao Brewery 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 Tsingtao Brewery, you can compare the effects of market volatilities on American Airlines and Tsingtao Brewery 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 Tsingtao Brewery. Check out your portfolio center. Please also check ongoing floating volatility patterns of American Airlines and Tsingtao Brewery.
Diversification Opportunities for American Airlines and Tsingtao Brewery
-0.1 | Correlation Coefficient |
Good diversification
The 3 months correlation between American and Tsingtao is -0.1. Overlapping area represents the amount of risk that can be diversified away by holding American Airlines Group and Tsingtao Brewery in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Tsingtao Brewery 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 Tsingtao Brewery. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Tsingtao Brewery has no effect on the direction of American Airlines i.e., American Airlines and Tsingtao Brewery go up and down completely randomly.
Pair Corralation between American Airlines and Tsingtao Brewery
Assuming the 90 days horizon American Airlines Group is expected to under-perform the Tsingtao Brewery. In addition to that, American Airlines is 1.7 times more volatile than Tsingtao Brewery. It trades about -0.2 of its total potential returns per unit of risk. Tsingtao Brewery is currently generating about -0.01 per unit of volatility. If you would invest 671.00 in Tsingtao Brewery on December 25, 2024 and sell it today you would lose (16.00) from holding Tsingtao Brewery or give up 2.38% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
American Airlines Group vs. Tsingtao Brewery
Performance |
Timeline |
American Airlines |
Tsingtao Brewery |
American Airlines and Tsingtao Brewery Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with American Airlines and Tsingtao Brewery
The main advantage of trading using opposite American Airlines and Tsingtao Brewery positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if American Airlines position performs unexpectedly, Tsingtao Brewery 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 Tsingtao Brewery will offset losses from the drop in Tsingtao Brewery's long position.American Airlines vs. Phibro Animal Health | American Airlines vs. Ebro Foods SA | American Airlines vs. COFCO Joycome Foods | American Airlines vs. LIFEWAY FOODS |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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