Correlation Between Dine Brands and Bt Brands
Can any of the company-specific risk be diversified away by investing in both Dine Brands and Bt 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 Bt 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 Bt Brands, you can compare the effects of market volatilities on Dine Brands and Bt 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 Bt Brands. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dine Brands and Bt Brands.
Diversification Opportunities for Dine Brands and Bt Brands
-0.16 | Correlation Coefficient |
Good diversification
The 3 months correlation between Dine and BTBD is -0.16. Overlapping area represents the amount of risk that can be diversified away by holding Dine Brands Global and Bt Brands in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bt 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 Bt Brands. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bt Brands has no effect on the direction of Dine Brands i.e., Dine Brands and Bt Brands go up and down completely randomly.
Pair Corralation between Dine Brands and Bt Brands
Considering the 90-day investment horizon Dine Brands Global is expected to generate 1.06 times more return on investment than Bt Brands. However, Dine Brands is 1.06 times more volatile than Bt Brands. It trades about 0.16 of its potential returns per unit of risk. Bt Brands is currently generating about -0.02 per unit of risk. If you would invest 3,077 in Dine Brands Global on August 30, 2024 and sell it today you would earn a total of 430.00 from holding Dine Brands Global or generate 13.97% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Dine Brands Global vs. Bt Brands
Performance |
| Timeline |
| Dine Brands Global |
| Bt Brands |
Dine Brands and Bt Brands Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Dine Brands and Bt Brands
The main advantage of trading using opposite Dine Brands and Bt Brands positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dine Brands position performs unexpectedly, Bt 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 Bt Brands will offset losses from the drop in Bt Brands' long position.| Dine Brands vs. Chipotle Mexican Grill | Dine Brands vs. Yum Brands | Dine Brands vs. The Wendys Co | Dine Brands vs. McDonalds |
| Bt Brands vs. Chipotle Mexican Grill | Bt Brands vs. Yum Brands | Bt Brands vs. The Wendys Co | Bt Brands vs. McDonalds |
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 Companies Directory module to evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals.
Other Complementary Tools
| Premium Stories Follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope | |
| Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
| Odds Of Bankruptcy Get analysis of equity chance of financial distress in the next 2 years | |
| Latest Portfolios Quick portfolio dashboard that showcases your latest portfolios | |
| Performance Analysis Check effects of mean-variance optimization against your current asset allocation |