Correlation Between BJs Restaurants and Wells Fargo
Can any of the company-specific risk be diversified away by investing in both BJs Restaurants and Wells Fargo 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 Wells Fargo into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BJs Restaurants and Wells Fargo, you can compare the effects of market volatilities on BJs Restaurants and Wells Fargo 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 Wells Fargo. Check out your portfolio center. Please also check ongoing floating volatility patterns of BJs Restaurants and Wells Fargo.
Diversification Opportunities for BJs Restaurants and Wells Fargo
0.6 | Correlation Coefficient |
Poor diversification
The 3 months correlation between BJs and Wells is 0.6. Overlapping area represents the amount of risk that can be diversified away by holding BJs Restaurants and Wells Fargo in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Wells Fargo 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 Wells Fargo. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Wells Fargo has no effect on the direction of BJs Restaurants i.e., BJs Restaurants and Wells Fargo go up and down completely randomly.
Pair Corralation between BJs Restaurants and Wells Fargo
Assuming the 90 days trading horizon BJs Restaurants is expected to generate 9.2 times less return on investment than Wells Fargo. In addition to that, BJs Restaurants is 1.08 times more volatile than Wells Fargo. It trades about 0.0 of its total potential returns per unit of risk. Wells Fargo is currently generating about 0.02 per unit of volatility. If you would invest 6,765 in Wells Fargo on December 28, 2024 and sell it today you would earn a total of 101.00 from holding Wells Fargo or generate 1.49% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
BJs Restaurants vs. Wells Fargo
Performance |
Timeline |
BJs Restaurants |
Wells Fargo |
BJs Restaurants and Wells Fargo Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BJs Restaurants and Wells Fargo
The main advantage of trading using opposite BJs Restaurants and Wells Fargo positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BJs Restaurants position performs unexpectedly, Wells Fargo 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 Wells Fargo will offset losses from the drop in Wells Fargo's long position.BJs Restaurants vs. CanSino Biologics | BJs Restaurants vs. ULTRA CLEAN HLDGS | BJs Restaurants vs. MARKET VECTR RETAIL | BJs Restaurants vs. CVW CLEANTECH INC |
Wells Fargo vs. Haier Smart Home | Wells Fargo vs. PEPTONIC MEDICAL | Wells Fargo vs. Merit Medical Systems | Wells Fargo vs. COMPUGROUP MEDICAL V |
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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