Correlation Between Under Armour and Sweetgreen
Can any of the company-specific risk be diversified away by investing in both Under Armour and Sweetgreen 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 Under Armour and Sweetgreen into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Under Armour C and Sweetgreen, you can compare the effects of market volatilities on Under Armour and Sweetgreen 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 Under Armour with a short position of Sweetgreen. Check out your portfolio center. Please also check ongoing floating volatility patterns of Under Armour and Sweetgreen.
Diversification Opportunities for Under Armour and Sweetgreen
0.47 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Under and Sweetgreen is 0.47. Overlapping area represents the amount of risk that can be diversified away by holding Under Armour C and Sweetgreen in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sweetgreen and Under Armour 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 Under Armour C are associated (or correlated) with Sweetgreen. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sweetgreen has no effect on the direction of Under Armour i.e., Under Armour and Sweetgreen go up and down completely randomly.
Pair Corralation between Under Armour and Sweetgreen
Allowing for the 90-day total investment horizon Under Armour is expected to generate 9.42 times less return on investment than Sweetgreen. But when comparing it to its historical volatility, Under Armour C is 1.67 times less risky than Sweetgreen. It trades about 0.02 of its potential returns per unit of risk. Sweetgreen is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest 883.00 in Sweetgreen on September 13, 2024 and sell it today you would earn a total of 3,000 from holding Sweetgreen or generate 339.75% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 99.8% |
| Values | Daily Returns |
Under Armour C vs. Sweetgreen
Performance |
| Timeline |
| Under Armour C |
| Sweetgreen |
Under Armour and Sweetgreen Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Under Armour and Sweetgreen
The main advantage of trading using opposite Under Armour and Sweetgreen positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Under Armour position performs unexpectedly, Sweetgreen 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 Sweetgreen will offset losses from the drop in Sweetgreen's long position.| Under Armour vs. Levi Strauss Co | Under Armour vs. Columbia Sportswear | Under Armour vs. Hanesbrands | Under Armour vs. PVH Corp |
| Sweetgreen vs. Cannae Holdings | Sweetgreen vs. Brinker International | Sweetgreen vs. Jack In The | Sweetgreen vs. Biglari Holdings |
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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