Correlation Between Bright Scholar and Sweetgreen
Can any of the company-specific risk be diversified away by investing in both Bright Scholar and Sweetgreen 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 Bright Scholar and Sweetgreen into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bright Scholar Education and Sweetgreen, you can compare the effects of market volatilities on Bright Scholar and Sweetgreen 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 Bright Scholar with a short position of Sweetgreen. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bright Scholar and Sweetgreen.
Diversification Opportunities for Bright Scholar and Sweetgreen
-0.15 | Correlation Coefficient |
Good diversification
The 3 months correlation between Bright and Sweetgreen is -0.15. Overlapping area represents the amount of risk that can be diversified away by holding Bright Scholar Education and Sweetgreen in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sweetgreen and Bright Scholar 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 Bright Scholar Education are associated (or correlated) with Sweetgreen. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sweetgreen has no effect on the direction of Bright Scholar i.e., Bright Scholar and Sweetgreen go up and down completely randomly.
Pair Corralation between Bright Scholar and Sweetgreen
Given the investment horizon of 90 days Bright Scholar is expected to generate 2.98 times less return on investment than Sweetgreen. But when comparing it to its historical volatility, Bright Scholar Education is 1.01 times less risky than Sweetgreen. It trades about 0.05 of its potential returns per unit of risk. Sweetgreen is currently generating about 0.15 of returns per unit of risk over similar time horizon. If you would invest 1,068 in Sweetgreen on August 28, 2024 and sell it today you would earn a total of 3,329 from holding Sweetgreen or generate 311.7% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 98.09% |
| Values | Daily Returns |
Bright Scholar Education vs. Sweetgreen
Performance |
| Timeline |
| Bright Scholar Education |
| Sweetgreen |
Bright Scholar and Sweetgreen Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Bright Scholar and Sweetgreen
The main advantage of trading using opposite Bright Scholar and Sweetgreen positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bright Scholar position performs unexpectedly, Sweetgreen 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 Sweetgreen will offset losses from the drop in Sweetgreen's long position.| Bright Scholar vs. American Public Education | Bright Scholar vs. Lincoln Educational Services | Bright Scholar vs. Adtalem Global Education |
| Sweetgreen vs. Cannae Holdings | Sweetgreen vs. Brinker International | Sweetgreen vs. Jack In The | Sweetgreen vs. Biglari Holdings |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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