Correlation Between Oatly Group and First Watch
Can any of the company-specific risk be diversified away by investing in both Oatly Group and First Watch 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 Oatly Group and First Watch into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Oatly Group AB and First Watch Restaurant, you can compare the effects of market volatilities on Oatly Group and First Watch 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 Oatly Group with a short position of First Watch. Check out your portfolio center. Please also check ongoing floating volatility patterns of Oatly Group and First Watch.
Diversification Opportunities for Oatly Group and First Watch
-0.6 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Oatly and First is -0.6. Overlapping area represents the amount of risk that can be diversified away by holding Oatly Group AB and First Watch Restaurant in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on First Watch Restaurant and Oatly Group 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 Oatly Group AB are associated (or correlated) with First Watch. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of First Watch Restaurant has no effect on the direction of Oatly Group i.e., Oatly Group and First Watch go up and down completely randomly.
Pair Corralation between Oatly Group and First Watch
Given the investment horizon of 90 days Oatly Group AB is expected to under-perform the First Watch. In addition to that, Oatly Group is 1.42 times more volatile than First Watch Restaurant. It trades about -0.11 of its total potential returns per unit of risk. First Watch Restaurant is currently generating about 0.1 per unit of volatility. If you would invest 1,542 in First Watch Restaurant on September 21, 2024 and sell it today you would earn a total of 317.00 from holding First Watch Restaurant or generate 20.56% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Oatly Group AB vs. First Watch Restaurant
Performance |
Timeline |
Oatly Group AB |
First Watch Restaurant |
Oatly Group and First Watch Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Oatly Group and First Watch
The main advantage of trading using opposite Oatly Group and First Watch positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Oatly Group position performs unexpectedly, First Watch 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 First Watch will offset losses from the drop in First Watch's long position.Oatly Group vs. Monster Beverage Corp | Oatly Group vs. Vita Coco | Oatly Group vs. PepsiCo | Oatly Group vs. The Coca Cola |
First Watch vs. Dine Brands Global | First Watch vs. Bloomin Brands | First Watch vs. BJs Restaurants | First Watch vs. The Cheesecake Factory |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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