Correlation Between Walgreens Boots and Société Générale
Can any of the company-specific risk be diversified away by investing in both Walgreens Boots and Société Générale 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 Walgreens Boots and Société Générale into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Walgreens Boots Alliance and Socit Gnrale Socit, you can compare the effects of market volatilities on Walgreens Boots and Société Générale 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 Walgreens Boots with a short position of Société Générale. Check out your portfolio center. Please also check ongoing floating volatility patterns of Walgreens Boots and Société Générale.
Diversification Opportunities for Walgreens Boots and Société Générale
-0.1 | Correlation Coefficient |
Good diversification
The 3 months correlation between Walgreens and Société is -0.1. Overlapping area represents the amount of risk that can be diversified away by holding Walgreens Boots Alliance and Socit Gnrale Socit in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Socit Gnrale Socit and Walgreens Boots 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 Walgreens Boots Alliance are associated (or correlated) with Société Générale. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Socit Gnrale Socit has no effect on the direction of Walgreens Boots i.e., Walgreens Boots and Société Générale go up and down completely randomly.
Pair Corralation between Walgreens Boots and Société Générale
Considering the 90-day investment horizon Walgreens Boots is expected to generate 1.29 times less return on investment than Société Générale. In addition to that, Walgreens Boots is 2.1 times more volatile than Socit Gnrale Socit. It trades about 0.06 of its total potential returns per unit of risk. Socit Gnrale Socit is currently generating about 0.15 per unit of volatility. If you would invest 2,269 in Socit Gnrale Socit on October 7, 2024 and sell it today you would earn a total of 442.00 from holding Socit Gnrale Socit or generate 19.48% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 96.83% |
Values | Daily Returns |
Walgreens Boots Alliance vs. Socit Gnrale Socit
Performance |
Timeline |
Walgreens Boots Alliance |
Socit Gnrale Socit |
Walgreens Boots and Société Générale Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Walgreens Boots and Société Générale
The main advantage of trading using opposite Walgreens Boots and Société Générale positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Walgreens Boots position performs unexpectedly, Société Générale 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 Société Générale will offset losses from the drop in Société Générale's long position.Walgreens Boots vs. PetMed Express | Walgreens Boots vs. 111 Inc | Walgreens Boots vs. China Jo Jo Drugstores | Walgreens Boots vs. High Tide |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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