Correlation Between Wingstop and FAT Brands

Can any of the company-specific risk be diversified away by investing in both Wingstop 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 Wingstop and FAT Brands into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Wingstop and FAT Brands, you can compare the effects of market volatilities on Wingstop 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 Wingstop with a short position of FAT Brands. Check out your portfolio center. Please also check ongoing floating volatility patterns of Wingstop and FAT Brands.

Diversification Opportunities for Wingstop and FAT Brands

-0.78

Correlation Coefficient

Wingstop  FAT Brands

Pay attention - limited upside

The 3 months correlation between Wingstop and FAT is -0.78. Overlapping area represents the amount of risk that can be diversified away by holding Wingstop and FAT Brands in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on FAT Brands and Wingstop 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 Wingstop 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 Wingstop i.e., Wingstop and FAT Brands go up and down completely randomly.

Pair Corralation between Wingstop and FAT Brands

Given the investment horizon of 90 days Wingstop is expected to generate 0.83 times more return on investment than FAT Brands. However, Wingstop is 1.2 times less risky than FAT Brands. It trades about 0.07 of its potential returns per unit of risk. FAT Brands is currently generating about 0.01 per unit of risk. If you would invest  15,024  in Wingstop on October 3, 2024 and sell it today you would earn a total of  13,692  from holding Wingstop or generate 91.13% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Weak
Accuracy	100.0%
Values	Daily Returns

Wingstop  vs.  FAT Brands

Wingstop

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Wingstop has generated negative risk-adjusted returns adding no value to investors with long positions. Despite weak performance in the last few months, the Stock's basic indicators remain nearly stable which may send shares a bit higher in February 2025. The current disturbance may also be a sign of long-run up-swing for the company stockholders.

FAT Brands

Risk-Adjusted Performance

13 of 100

Good

Compared to the overall equity markets, risk-adjusted returns on investments in FAT Brands are ranked lower than 13 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively weak basic indicators, FAT Brands unveiled solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Wingstop and FAT Brands

The main advantage of trading using opposite Wingstop and FAT Brands positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Wingstop 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 Wingstop 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 Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.