Correlation Between Dine Brands and Restaurant Brands
Can any of the company-specific risk be diversified away by investing in both Dine Brands and Restaurant 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 Dine Brands and Restaurant Brands into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dine Brands Global and Restaurant Brands International, you can compare the effects of market volatilities on Dine Brands and Restaurant 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 Dine Brands with a short position of Restaurant Brands. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dine Brands and Restaurant Brands.
Diversification Opportunities for Dine Brands and Restaurant Brands
0.1 | Correlation Coefficient |
Average diversification
The 3 months correlation between Dine and Restaurant is 0.1. Overlapping area represents the amount of risk that can be diversified away by holding Dine Brands Global and Restaurant Brands Internationa in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Restaurant Brands and Dine 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 Dine Brands Global are associated (or correlated) with Restaurant Brands. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Restaurant Brands has no effect on the direction of Dine Brands i.e., Dine Brands and Restaurant Brands go up and down completely randomly.
Pair Corralation between Dine Brands and Restaurant Brands
Considering the 90-day investment horizon Dine Brands Global is expected to generate 1.82 times more return on investment than Restaurant Brands. However, Dine Brands is 1.82 times more volatile than Restaurant Brands International. It trades about -0.04 of its potential returns per unit of risk. Restaurant Brands International is currently generating about -0.34 per unit of risk. If you would invest 3,091 in Dine Brands Global on October 8, 2024 and sell it today you would lose (57.00) from holding Dine Brands Global or give up 1.84% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Dine Brands Global vs. Restaurant Brands Internationa
Performance |
Timeline |
Dine Brands Global |
Restaurant Brands |
Dine Brands and Restaurant Brands Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dine Brands and Restaurant Brands
The main advantage of trading using opposite Dine Brands and Restaurant Brands positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dine Brands position performs unexpectedly, Restaurant 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 Restaurant Brands will offset losses from the drop in Restaurant Brands' long position.Dine Brands vs. Chipotle Mexican Grill | Dine Brands vs. Dominos Pizza Common | Dine Brands vs. Yum Brands | Dine Brands vs. Starbucks |
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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 Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
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