Correlation Between Zurich Insurance and Swiss Re
Can any of the company-specific risk be diversified away by investing in both Zurich Insurance and Swiss Re 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 Swiss Re 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 Swiss Re AG, you can compare the effects of market volatilities on Zurich Insurance and Swiss Re 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 Swiss Re. Check out your portfolio center. Please also check ongoing floating volatility patterns of Zurich Insurance and Swiss Re.
Diversification Opportunities for Zurich Insurance and Swiss Re
0.89 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Zurich and Swiss is 0.89. Overlapping area represents the amount of risk that can be diversified away by holding Zurich Insurance Group and Swiss Re AG in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Swiss Re 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 Swiss Re. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Swiss Re AG has no effect on the direction of Zurich Insurance i.e., Zurich Insurance and Swiss Re go up and down completely randomly.
Pair Corralation between Zurich Insurance and Swiss Re
Assuming the 90 days trading horizon Zurich Insurance Group is expected to under-perform the Swiss Re. But the stock apears to be less risky and, when comparing its historical volatility, Zurich Insurance Group is 1.31 times less risky than Swiss Re. The stock trades about -0.02 of its potential returns per unit of risk. The Swiss Re AG is currently generating about 0.01 of returns per unit of risk over similar time horizon. If you would invest 14,360 in Swiss Re AG on April 22, 2025 and sell it today you would earn a total of 55.00 from holding Swiss Re AG or generate 0.38% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Zurich Insurance Group vs. Swiss Re AG
Performance |
Timeline |
Zurich Insurance |
Swiss Re AG |
Zurich Insurance and Swiss Re Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Zurich Insurance and Swiss Re
The main advantage of trading using opposite Zurich Insurance and Swiss Re positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Zurich Insurance position performs unexpectedly, Swiss Re 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 Swiss Re will offset losses from the drop in Swiss Re'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 |
Swiss Re vs. Zurich Insurance Group | Swiss Re vs. Swiss Life Holding | Swiss Re vs. Novartis AG | Swiss Re vs. UBS Group AG |
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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