Correlation Between Zurich Insurance and UBS Group
Can any of the company-specific risk be diversified away by investing in both Zurich Insurance 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 Zurich Insurance and UBS Group into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Zurich Insurance Group and UBS Group AG, you can compare the effects of market volatilities on Zurich Insurance 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 Zurich Insurance with a short position of UBS Group. Check out your portfolio center. Please also check ongoing floating volatility patterns of Zurich Insurance and UBS Group.
Diversification Opportunities for Zurich Insurance and UBS Group
0.73 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Zurich and UBS is 0.73. Overlapping area represents the amount of risk that can be diversified away by holding Zurich Insurance Group 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 Zurich Insurance 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 Zurich Insurance Group 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 Zurich Insurance i.e., Zurich Insurance and UBS Group go up and down completely randomly.
Pair Corralation between Zurich Insurance and UBS Group
Assuming the 90 days trading horizon Zurich Insurance Group is expected to generate 0.55 times more return on investment than UBS Group. However, Zurich Insurance Group is 1.83 times less risky than UBS Group. It trades about 0.23 of its potential returns per unit of risk. UBS Group AG is currently generating about 0.04 per unit of risk. If you would invest 51,960 in Zurich Insurance Group on August 24, 2024 and sell it today you would earn a total of 2,800 from holding Zurich Insurance Group or generate 5.39% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Zurich Insurance Group vs. UBS Group AG
Performance |
| Timeline |
| Zurich Insurance |
| UBS Group AG |
Zurich Insurance and UBS Group Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Zurich Insurance and UBS Group
The main advantage of trading using opposite Zurich Insurance and UBS Group positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Zurich Insurance 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.| Zurich Insurance vs. Swiss Re AG | Zurich Insurance vs. Novartis AG | Zurich Insurance vs. Swiss Life Holding | Zurich Insurance vs. UBS Group AG |
| UBS Group vs. Zurich Insurance Group | UBS Group vs. Novartis AG | UBS Group vs. Swiss Re AG | UBS Group vs. ABB |
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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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