Correlation Between Bloomin Brands and FAT Brands
Can any of the company-specific risk be diversified away by investing in both Bloomin Brands and FAT Brands 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 FAT Brands into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bloomin Brands and FAT Brands, you can compare the effects of market volatilities on Bloomin Brands and FAT Brands 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 FAT Brands. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bloomin Brands and FAT Brands.
Diversification Opportunities for Bloomin Brands and FAT Brands
-0.48 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Bloomin and FAT is -0.48. Overlapping area represents the amount of risk that can be diversified away by holding Bloomin Brands and FAT Brands in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on FAT Brands 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 FAT Brands. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of FAT Brands has no effect on the direction of Bloomin Brands i.e., Bloomin Brands and FAT Brands go up and down completely randomly.
Pair Corralation between Bloomin Brands and FAT Brands
Given the investment horizon of 90 days Bloomin Brands is expected to under-perform the FAT Brands. In addition to that, Bloomin Brands is 1.35 times more volatile than FAT Brands. It trades about -0.03 of its total potential returns per unit of risk. FAT Brands is currently generating about -0.02 per unit of volatility. If you would invest 1,285 in FAT Brands on September 30, 2024 and sell it today you would lose (320.00) from holding FAT Brands or give up 24.9% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Bloomin Brands vs. FAT Brands
Performance |
Timeline |
Bloomin Brands |
FAT Brands |
Bloomin Brands and FAT Brands Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bloomin Brands and FAT Brands
The main advantage of trading using opposite Bloomin Brands and FAT Brands positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bloomin Brands position performs unexpectedly, FAT Brands 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 FAT Brands will offset losses from the drop in FAT Brands' long position.Bloomin Brands vs. Dine Brands Global | Bloomin Brands vs. BJs Restaurants | Bloomin Brands vs. The Cheesecake Factory | Bloomin Brands vs. Brinker International |
FAT Brands vs. Fortress Biotech Pref | FAT Brands vs. FAT Brands | FAT Brands vs. Aquagold International | FAT Brands vs. Morningstar Unconstrained Allocation |
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.
Other Complementary Tools
Top Crypto Exchanges Search and analyze digital assets across top global cryptocurrency exchanges | |
Volatility Analysis Get historical volatility and risk analysis based on latest market data | |
Companies Directory Evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals | |
Analyst Advice Analyst recommendations and target price estimates broken down by several categories | |
Global Correlations Find global opportunities by holding instruments from different markets |