Correlation Between Dine Brands and Aurora Acquisition
Can any of the company-specific risk be diversified away by investing in both Dine Brands and Aurora Acquisition 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 Aurora Acquisition 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 Aurora Acquisition Corp, you can compare the effects of market volatilities on Dine Brands and Aurora Acquisition 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 Aurora Acquisition. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dine Brands and Aurora Acquisition.
Diversification Opportunities for Dine Brands and Aurora Acquisition
-0.18 | Correlation Coefficient |
Good diversification
The 3 months correlation between Dine and Aurora is -0.18. Overlapping area represents the amount of risk that can be diversified away by holding Dine Brands Global and Aurora Acquisition Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Aurora Acquisition Corp 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 Aurora Acquisition. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Aurora Acquisition Corp has no effect on the direction of Dine Brands i.e., Dine Brands and Aurora Acquisition go up and down completely randomly.
Pair Corralation between Dine Brands and Aurora Acquisition
Considering the 90-day investment horizon Dine Brands Global is expected to under-perform the Aurora Acquisition. In addition to that, Dine Brands is 2.98 times more volatile than Aurora Acquisition Corp. It trades about -0.05 of its total potential returns per unit of risk. Aurora Acquisition Corp is currently generating about 0.07 per unit of volatility. If you would invest 1,005 in Aurora Acquisition Corp on October 3, 2024 and sell it today you would earn a total of 78.00 from holding Aurora Acquisition Corp or generate 7.76% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 26.67% |
Values | Daily Returns |
Dine Brands Global vs. Aurora Acquisition Corp
Performance |
Timeline |
Dine Brands Global |
Aurora Acquisition Corp |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Dine Brands and Aurora Acquisition Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dine Brands and Aurora Acquisition
The main advantage of trading using opposite Dine Brands and Aurora Acquisition positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dine Brands position performs unexpectedly, Aurora Acquisition 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 Aurora Acquisition will offset losses from the drop in Aurora Acquisition's long position.Dine Brands vs. Bloomin Brands | Dine Brands vs. BJs Restaurants | Dine Brands vs. The Cheesecake Factory | Dine Brands vs. Brinker International |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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