Correlation Between Santhera Pharmaceuticals and UBS Group
Can any of the company-specific risk be diversified away by investing in both Santhera Pharmaceuticals and UBS 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 Santhera Pharmaceuticals and UBS Group into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Santhera Pharmaceuticals Holding and UBS Group AG, you can compare the effects of market volatilities on Santhera Pharmaceuticals and UBS 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 Santhera Pharmaceuticals with a short position of UBS Group. Check out your portfolio center. Please also check ongoing floating volatility patterns of Santhera Pharmaceuticals and UBS Group.
Diversification Opportunities for Santhera Pharmaceuticals and UBS Group
-0.64 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Santhera and UBS is -0.64. Overlapping area represents the amount of risk that can be diversified away by holding Santhera Pharmaceuticals Holdi and UBS Group AG in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on UBS Group AG and Santhera Pharmaceuticals 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 Santhera Pharmaceuticals Holding are associated (or correlated) with UBS Group. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of UBS Group AG has no effect on the direction of Santhera Pharmaceuticals i.e., Santhera Pharmaceuticals and UBS Group go up and down completely randomly.
Pair Corralation between Santhera Pharmaceuticals and UBS Group
Assuming the 90 days trading horizon Santhera Pharmaceuticals Holding is expected to under-perform the UBS Group. In addition to that, Santhera Pharmaceuticals is 1.5 times more volatile than UBS Group AG. It trades about -0.08 of its total potential returns per unit of risk. UBS Group AG is currently generating about 0.11 per unit of volatility. If you would invest 2,590 in UBS Group AG on September 1, 2024 and sell it today you would earn a total of 258.00 from holding UBS Group AG or generate 9.96% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Santhera Pharmaceuticals Holdi vs. UBS Group AG
Performance |
Timeline |
Santhera Pharmaceuticals |
UBS Group AG |
Santhera Pharmaceuticals and UBS Group Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Santhera Pharmaceuticals and UBS Group
The main advantage of trading using opposite Santhera Pharmaceuticals and UBS Group positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Santhera Pharmaceuticals position performs unexpectedly, UBS 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 UBS Group will offset losses from the drop in UBS Group's long position.Santhera Pharmaceuticals vs. Basilea Pharmaceutica AG | Santhera Pharmaceuticals vs. Idorsia | Santhera Pharmaceuticals vs. Newron Pharmaceuticals SpA | Santhera Pharmaceuticals vs. Evolva Holding SA |
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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 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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