Correlation Between Ruths Hospitality and FAT Brands

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Can any of the company-specific risk be diversified away by investing in both Ruths Hospitality 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 Ruths Hospitality and FAT Brands into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ruths Hospitality Group and FAT Brands, you can compare the effects of market volatilities on Ruths Hospitality 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 Ruths Hospitality with a short position of FAT Brands. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ruths Hospitality and FAT Brands.

Diversification Opportunities for Ruths Hospitality and FAT Brands

-0.13
  Correlation Coefficient

Good diversification

The 3 months correlation between Ruths and FAT is -0.13. Overlapping area represents the amount of risk that can be diversified away by holding Ruths Hospitality Group and FAT Brands in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on FAT Brands and Ruths Hospitality 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 Ruths Hospitality Group 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 Ruths Hospitality i.e., Ruths Hospitality and FAT Brands go up and down completely randomly.

Pair Corralation between Ruths Hospitality and FAT Brands

If you would invest  438.00  in FAT Brands on September 17, 2024 and sell it today you would earn a total of  3.00  from holding FAT Brands or generate 0.68% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthInsignificant
Accuracy1.56%
ValuesDaily Returns

Ruths Hospitality Group  vs.  FAT Brands

 Performance 
       Timeline  
Ruths Hospitality 

Risk-Adjusted Performance

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Weak
 
Strong
Very Weak
Over the last 90 days Ruths Hospitality Group has generated negative risk-adjusted returns adding no value to investors with long positions. Despite fairly strong basic indicators, Ruths Hospitality is not utilizing all of its potentials. The recent stock price confusion, may contribute to short-horizon losses for the traders.
FAT Brands 

Risk-Adjusted Performance

1 of 100

 
Weak
 
Strong
Weak
Compared to the overall equity markets, risk-adjusted returns on investments in FAT Brands are ranked lower than 1 (%) of all global equities and portfolios over the last 90 days. Despite somewhat weak fundamental drivers, FAT Brands may actually be approaching a critical reversion point that can send shares even higher in January 2025.

Ruths Hospitality and FAT Brands Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Ruths Hospitality and FAT Brands

The main advantage of trading using opposite Ruths Hospitality and FAT Brands positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ruths Hospitality 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.
The idea behind Ruths Hospitality Group and FAT Brands pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.
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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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