Correlation Between Bloomin Brands and First Watch
Can any of the company-specific risk be diversified away by investing in both Bloomin Brands 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 Bloomin Brands and First Watch into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bloomin Brands and First Watch Restaurant, you can compare the effects of market volatilities on Bloomin Brands 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 Bloomin Brands with a short position of First Watch. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bloomin Brands and First Watch.
Diversification Opportunities for Bloomin Brands and First Watch
0.1 | Correlation Coefficient |
Average diversification
The 3 months correlation between Bloomin and First is 0.1. Overlapping area represents the amount of risk that can be diversified away by holding Bloomin Brands 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 Bloomin Brands 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 Bloomin Brands 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 Bloomin Brands i.e., Bloomin Brands and First Watch go up and down completely randomly.
Pair Corralation between Bloomin Brands and First Watch
Given the investment horizon of 90 days Bloomin Brands is expected to generate 1.32 times more return on investment than First Watch. However, Bloomin Brands is 1.32 times more volatile than First Watch Restaurant. It trades about 0.07 of its potential returns per unit of risk. First Watch Restaurant is currently generating about -0.02 per unit of risk. If you would invest 795.00 in Bloomin Brands on March 20, 2025 and sell it today you would earn a total of 139.00 from holding Bloomin Brands or generate 17.48% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Bloomin Brands vs. First Watch Restaurant
Performance |
| Timeline |
| Bloomin Brands |
| First Watch Restaurant |
Bloomin Brands and First Watch Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Bloomin Brands and First Watch
The main advantage of trading using opposite Bloomin Brands and First Watch positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bloomin Brands 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.| Bloomin Brands vs. Dine Brands Global | Bloomin Brands vs. BJs Restaurants | Bloomin Brands vs. The Cheesecake Factory | Bloomin Brands vs. Brinker International |
| 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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
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