Correlation Between BJs Restaurants and One Group
Can any of the company-specific risk be diversified away by investing in both BJs Restaurants and One Group 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 BJs Restaurants and One Group into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BJs Restaurants and One Group Hospitality, you can compare the effects of market volatilities on BJs Restaurants and One Group 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 BJs Restaurants with a short position of One Group. Check out your portfolio center. Please also check ongoing floating volatility patterns of BJs Restaurants and One Group.
Diversification Opportunities for BJs Restaurants and One Group
-0.13 | Correlation Coefficient |
Good diversification
The 3 months correlation between BJs and One is -0.13. Overlapping area represents the amount of risk that can be diversified away by holding BJs Restaurants and One Group Hospitality in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on One Group Hospitality and BJs Restaurants 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 BJs Restaurants are associated (or correlated) with One Group. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of One Group Hospitality has no effect on the direction of BJs Restaurants i.e., BJs Restaurants and One Group go up and down completely randomly.
Pair Corralation between BJs Restaurants and One Group
Given the investment horizon of 90 days BJs Restaurants is expected to generate 0.57 times more return on investment than One Group. However, BJs Restaurants is 1.76 times less risky than One Group. It trades about -0.01 of its potential returns per unit of risk. One Group Hospitality is currently generating about -0.01 per unit of risk. If you would invest 3,511 in BJs Restaurants on August 24, 2024 and sell it today you would lose (59.00) from holding BJs Restaurants or give up 1.68% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
BJs Restaurants vs. One Group Hospitality
Performance |
| Timeline |
| BJs Restaurants |
| One Group Hospitality |
BJs Restaurants and One Group Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with BJs Restaurants and One Group
The main advantage of trading using opposite BJs Restaurants and One Group positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BJs Restaurants position performs unexpectedly, One Group 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 One Group will offset losses from the drop in One Group's long position.| BJs Restaurants vs. Dine Brands Global | BJs Restaurants vs. Brinker International | BJs Restaurants vs. Bloomin Brands | BJs Restaurants vs. The Cheesecake Factory |
| One Group vs. FAT Brands | One Group vs. Potbelly Co | One Group vs. BJs Restaurants | One Group vs. Rave Restaurant Group |
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.
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