Correlation Between FAT Brands and Ruths Hospitality
Can any of the company-specific risk be diversified away by investing in both FAT Brands and Ruths Hospitality 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 FAT Brands and Ruths Hospitality into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between FAT Brands and Ruths Hospitality Group, you can compare the effects of market volatilities on FAT Brands and Ruths Hospitality 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 FAT Brands with a short position of Ruths Hospitality. Check out your portfolio center. Please also check ongoing floating volatility patterns of FAT Brands and Ruths Hospitality.
Diversification Opportunities for FAT Brands and Ruths Hospitality
0.58 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between FAT and Ruths is 0.58. Overlapping area represents the amount of risk that can be diversified away by holding FAT Brands and Ruths Hospitality Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ruths Hospitality and FAT 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 FAT Brands are associated (or correlated) with Ruths Hospitality. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ruths Hospitality has no effect on the direction of FAT Brands i.e., FAT Brands and Ruths Hospitality go up and down completely randomly.
Pair Corralation between FAT Brands and Ruths Hospitality
Considering the 90-day investment horizon FAT Brands is expected to generate 5.81 times less return on investment than Ruths Hospitality. But when comparing it to its historical volatility, FAT Brands is 1.25 times less risky than Ruths Hospitality. It trades about 0.01 of its potential returns per unit of risk. Ruths Hospitality Group is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 1,784 in Ruths Hospitality Group on October 3, 2024 and sell it today you would earn a total of 365.00 from holding Ruths Hospitality Group or generate 20.46% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 21.82% |
Values | Daily Returns |
FAT Brands vs. Ruths Hospitality Group
Performance |
Timeline |
FAT Brands |
Ruths Hospitality |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
FAT Brands and Ruths Hospitality Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with FAT Brands and Ruths Hospitality
The main advantage of trading using opposite FAT Brands and Ruths Hospitality positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if FAT Brands position performs unexpectedly, Ruths Hospitality 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 Ruths Hospitality will offset losses from the drop in Ruths Hospitality's long position.FAT Brands vs. FAT Brands | FAT Brands vs. Cannae Holdings | FAT Brands vs. Nathans Famous | FAT Brands vs. Dine Brands Global |
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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 Companies Directory module to evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals.
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