Correlation Between BJs Restaurants and Norwegian Air
Can any of the company-specific risk be diversified away by investing in both BJs Restaurants and Norwegian 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 Norwegian 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 Norwegian Air Shuttle, you can compare the effects of market volatilities on BJs Restaurants and Norwegian 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 Norwegian Air. Check out your portfolio center. Please also check ongoing floating volatility patterns of BJs Restaurants and Norwegian Air.
Diversification Opportunities for BJs Restaurants and Norwegian Air
-0.07 | Correlation Coefficient |
Good diversification
The 3 months correlation between BJs and Norwegian is -0.07. Overlapping area represents the amount of risk that can be diversified away by holding BJs Restaurants and Norwegian Air Shuttle in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Norwegian Air Shuttle 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 Norwegian Air. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Norwegian Air Shuttle has no effect on the direction of BJs Restaurants i.e., BJs Restaurants and Norwegian Air go up and down completely randomly.
Pair Corralation between BJs Restaurants and Norwegian Air
Assuming the 90 days trading horizon BJs Restaurants is expected to generate 1.58 times less return on investment than Norwegian Air. But when comparing it to its historical volatility, BJs Restaurants is 1.11 times less risky than Norwegian Air. It trades about 0.12 of its potential returns per unit of risk. Norwegian Air Shuttle is currently generating about 0.17 of returns per unit of risk over similar time horizon. If you would invest 110.00 in Norwegian Air Shuttle on April 25, 2025 and sell it today you would earn a total of 35.00 from holding Norwegian Air Shuttle or generate 31.82% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
BJs Restaurants vs. Norwegian Air Shuttle
Performance |
Timeline |
BJs Restaurants |
Norwegian Air Shuttle |
BJs Restaurants and Norwegian Air Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BJs Restaurants and Norwegian Air
The main advantage of trading using opposite BJs Restaurants and Norwegian Air positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BJs Restaurants position performs unexpectedly, Norwegian 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 Norwegian Air will offset losses from the drop in Norwegian Air's long position.BJs Restaurants vs. Perma Fix Environmental Services | BJs Restaurants vs. CAP EX IRON ORE | BJs Restaurants vs. MAANSHAN IRON H | BJs Restaurants vs. ELMOS SEMICONDUCTOR |
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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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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