Correlation Between American Airlines and URBAN OUTFITTERS
Can any of the company-specific risk be diversified away by investing in both American Airlines and URBAN OUTFITTERS 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 URBAN OUTFITTERS 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 URBAN OUTFITTERS, you can compare the effects of market volatilities on American Airlines and URBAN OUTFITTERS 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 URBAN OUTFITTERS. Check out your portfolio center. Please also check ongoing floating volatility patterns of American Airlines and URBAN OUTFITTERS.
Diversification Opportunities for American Airlines and URBAN OUTFITTERS
0.85 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between American and URBAN is 0.85. Overlapping area represents the amount of risk that can be diversified away by holding American Airlines Group and URBAN OUTFITTERS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on URBAN OUTFITTERS 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 URBAN OUTFITTERS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of URBAN OUTFITTERS has no effect on the direction of American Airlines i.e., American Airlines and URBAN OUTFITTERS go up and down completely randomly.
Pair Corralation between American Airlines and URBAN OUTFITTERS
Assuming the 90 days horizon American Airlines is expected to generate 3.03 times less return on investment than URBAN OUTFITTERS. In addition to that, American Airlines is 1.05 times more volatile than URBAN OUTFITTERS. It trades about 0.07 of its total potential returns per unit of risk. URBAN OUTFITTERS is currently generating about 0.23 per unit of volatility. If you would invest 3,480 in URBAN OUTFITTERS on November 20, 2024 and sell it today you would earn a total of 1,820 from holding URBAN OUTFITTERS or generate 52.3% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
American Airlines Group vs. URBAN OUTFITTERS
Performance |
Timeline |
American Airlines |
URBAN OUTFITTERS |
American Airlines and URBAN OUTFITTERS Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with American Airlines and URBAN OUTFITTERS
The main advantage of trading using opposite American Airlines and URBAN OUTFITTERS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if American Airlines position performs unexpectedly, URBAN OUTFITTERS 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 URBAN OUTFITTERS will offset losses from the drop in URBAN OUTFITTERS's long position.American Airlines vs. Mount Gibson Iron | American Airlines vs. TOMBADOR IRON LTD | American Airlines vs. Air New Zealand | American Airlines vs. KOBE STEEL LTD |
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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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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