Correlation Between Brinker International and Suncor Energy
Can any of the company-specific risk be diversified away by investing in both Brinker International and Suncor Energy 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 Brinker International and Suncor Energy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Brinker International and Suncor Energy, you can compare the effects of market volatilities on Brinker International and Suncor Energy 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 Brinker International with a short position of Suncor Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Brinker International and Suncor Energy.
Diversification Opportunities for Brinker International and Suncor Energy
0.39 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Brinker and Suncor is 0.39. Overlapping area represents the amount of risk that can be diversified away by holding Brinker International and Suncor Energy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Suncor Energy and Brinker International 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 Brinker International are associated (or correlated) with Suncor Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Suncor Energy has no effect on the direction of Brinker International i.e., Brinker International and Suncor Energy go up and down completely randomly.
Pair Corralation between Brinker International and Suncor Energy
Considering the 90-day investment horizon Brinker International is expected to generate 2.42 times more return on investment than Suncor Energy. However, Brinker International is 2.42 times more volatile than Suncor Energy. It trades about 0.1 of its potential returns per unit of risk. Suncor Energy is currently generating about -0.01 per unit of risk. If you would invest 13,069 in Brinker International on November 27, 2024 and sell it today you would earn a total of 2,514 from holding Brinker International or generate 19.24% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Brinker International vs. Suncor Energy
Performance |
Timeline |
Brinker International |
Suncor Energy |
Brinker International and Suncor Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Brinker International and Suncor Energy
The main advantage of trading using opposite Brinker International and Suncor Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Brinker International position performs unexpectedly, Suncor Energy 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 Suncor Energy will offset losses from the drop in Suncor Energy's long position.Brinker International vs. Dennys Corp | Brinker International vs. Bloomin Brands | Brinker International vs. Jack In The | Brinker International 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 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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