Correlation Between Restaurant Brands and Papa Johns
Can any of the company-specific risk be diversified away by investing in both Restaurant Brands and Papa Johns 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 Restaurant Brands and Papa Johns into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Restaurant Brands International and Papa Johns International, you can compare the effects of market volatilities on Restaurant Brands and Papa Johns 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 Restaurant Brands with a short position of Papa Johns. Check out your portfolio center. Please also check ongoing floating volatility patterns of Restaurant Brands and Papa Johns.
Diversification Opportunities for Restaurant Brands and Papa Johns
0.55 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Restaurant and Papa is 0.55. Overlapping area represents the amount of risk that can be diversified away by holding Restaurant Brands Internationa and Papa Johns International in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Papa Johns International and Restaurant 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 Restaurant Brands International are associated (or correlated) with Papa Johns. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Papa Johns International has no effect on the direction of Restaurant Brands i.e., Restaurant Brands and Papa Johns go up and down completely randomly.
Pair Corralation between Restaurant Brands and Papa Johns
Considering the 90-day investment horizon Restaurant Brands International is not expected to generate positive returns. However, Restaurant Brands International is 1.83 times less risky than Papa Johns. It waists most of its returns potential to compensate for thr risk taken. Papa Johns is generating about -0.05 per unit of risk. If you would invest 6,529 in Restaurant Brands International on January 16, 2025 and sell it today you would lose (304.00) from holding Restaurant Brands International or give up 4.66% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Restaurant Brands Internationa vs. Papa Johns International
Performance |
Timeline |
Restaurant Brands |
Papa Johns International |
Restaurant Brands and Papa Johns Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Restaurant Brands and Papa Johns
The main advantage of trading using opposite Restaurant Brands and Papa Johns positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Restaurant Brands position performs unexpectedly, Papa Johns 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 Papa Johns will offset losses from the drop in Papa Johns' long position.Restaurant Brands vs. Yum Brands | Restaurant Brands vs. Papa Johns International | Restaurant Brands vs. Jack In The | Restaurant Brands vs. Dominos Pizza Common |
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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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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