Correlation Between Dine Brands and FAT Brands
Can any of the company-specific risk be diversified away by investing in both Dine Brands and FAT 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 FAT 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 FAT Brands, you can compare the effects of market volatilities on Dine Brands and FAT 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 FAT Brands. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dine Brands and FAT Brands.
Diversification Opportunities for Dine Brands and FAT Brands
0.32 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Dine and FAT is 0.32. Overlapping area represents the amount of risk that can be diversified away by holding Dine Brands Global and FAT Brands in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on FAT 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 FAT Brands. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of FAT Brands has no effect on the direction of Dine Brands i.e., Dine Brands and FAT Brands go up and down completely randomly.
Pair Corralation between Dine Brands and FAT Brands
Considering the 90-day investment horizon Dine Brands Global is expected to under-perform the FAT Brands. But the stock apears to be less risky and, when comparing its historical volatility, Dine Brands Global is 1.19 times less risky than FAT Brands. The stock trades about -0.06 of its potential returns per unit of risk. The FAT Brands is currently generating about 0.0 of returns per unit of risk over similar time horizon. If you would invest 629.00 in FAT Brands on September 26, 2024 and sell it today you would lose (91.00) from holding FAT Brands or give up 14.47% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Dine Brands Global vs. FAT Brands
Performance |
Timeline |
Dine Brands Global |
FAT Brands |
Dine Brands and FAT Brands Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dine Brands and FAT Brands
The main advantage of trading using opposite Dine Brands and FAT Brands positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dine Brands position performs unexpectedly, FAT 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 FAT Brands will offset losses from the drop in FAT Brands' long position.Dine Brands vs. Bloomin Brands | Dine Brands vs. BJs Restaurants | Dine Brands vs. The Cheesecake Factory | Dine Brands vs. Brinker International |
FAT Brands vs. FAT Brands | FAT Brands vs. Cannae Holdings | FAT Brands vs. Nathans Famous | FAT Brands vs. Dine Brands Global |
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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
Other Complementary Tools
Crypto Correlations Use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins | |
Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
Price Ceiling Movement Calculate and plot Price Ceiling Movement for different equity instruments | |
ETF Categories List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments | |
Efficient Frontier Plot and analyze your portfolio and positions against risk-return landscape of the market. |