Correlation Between BJs Restaurants and SEALED AIR
Can any of the company-specific risk be diversified away by investing in both BJs Restaurants and SEALED AIR 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 SEALED AIR into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BJs Restaurants and SEALED AIR , you can compare the effects of market volatilities on BJs Restaurants and SEALED AIR 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 SEALED AIR. Check out your portfolio center. Please also check ongoing floating volatility patterns of BJs Restaurants and SEALED AIR.
Diversification Opportunities for BJs Restaurants and SEALED AIR
0.61 | Correlation Coefficient |
Poor diversification
The 3 months correlation between BJs and SEALED is 0.61. Overlapping area represents the amount of risk that can be diversified away by holding BJs Restaurants and SEALED AIR in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SEALED AIR 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 SEALED AIR. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SEALED AIR has no effect on the direction of BJs Restaurants i.e., BJs Restaurants and SEALED AIR go up and down completely randomly.
Pair Corralation between BJs Restaurants and SEALED AIR
Assuming the 90 days trading horizon BJs Restaurants is expected to generate 1.21 times more return on investment than SEALED AIR. However, BJs Restaurants is 1.21 times more volatile than SEALED AIR . It trades about -0.08 of its potential returns per unit of risk. SEALED AIR is currently generating about -0.14 per unit of risk. If you would invest 3,340 in BJs Restaurants on December 21, 2024 and sell it today you would lose (360.00) from holding BJs Restaurants or give up 10.78% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
BJs Restaurants vs. SEALED AIR
Performance |
Timeline |
BJs Restaurants |
SEALED AIR |
BJs Restaurants and SEALED AIR Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BJs Restaurants and SEALED AIR
The main advantage of trading using opposite BJs Restaurants and SEALED AIR positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BJs Restaurants position performs unexpectedly, SEALED AIR 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 SEALED AIR will offset losses from the drop in SEALED AIR's long position.BJs Restaurants vs. Meli Hotels International | BJs Restaurants vs. DATATEC LTD 2 | BJs Restaurants vs. NH HOTEL GROUP | BJs Restaurants vs. Data3 Limited |
SEALED AIR vs. Semiconductor Manufacturing International | SEALED AIR vs. CompuGroup Medical SE | SEALED AIR vs. Lattice Semiconductor | SEALED AIR vs. British American Tobacco |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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