Correlation Between Good Times and Yum Brands
Can any of the company-specific risk be diversified away by investing in both Good Times and Yum 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 Good Times and Yum Brands into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Good Times Restaurants and Yum Brands, you can compare the effects of market volatilities on Good Times and Yum 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 Good Times with a short position of Yum Brands. Check out your portfolio center. Please also check ongoing floating volatility patterns of Good Times and Yum Brands.
Diversification Opportunities for Good Times and Yum Brands
-0.54 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Good and Yum is -0.54. Overlapping area represents the amount of risk that can be diversified away by holding Good Times Restaurants and Yum Brands in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Yum Brands and Good Times 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 Good Times Restaurants are associated (or correlated) with Yum Brands. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Yum Brands has no effect on the direction of Good Times i.e., Good Times and Yum Brands go up and down completely randomly.
Pair Corralation between Good Times and Yum Brands
Given the investment horizon of 90 days Good Times Restaurants is expected to under-perform the Yum Brands. In addition to that, Good Times is 1.33 times more volatile than Yum Brands. It trades about -0.09 of its total potential returns per unit of risk. Yum Brands is currently generating about 0.17 per unit of volatility. If you would invest 13,396 in Yum Brands on September 13, 2024 and sell it today you would earn a total of 451.00 from holding Yum Brands or generate 3.37% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Good Times Restaurants vs. Yum Brands
Performance |
| Timeline |
| Good Times Restaurants |
| Yum Brands |
Good Times and Yum Brands Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Good Times and Yum Brands
The main advantage of trading using opposite Good Times and Yum Brands positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Good Times position performs unexpectedly, Yum 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 Yum Brands will offset losses from the drop in Yum Brands' long position.The idea behind Good Times Restaurants and Yum Brands pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
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