Correlation Between European Metals and Zurich Insurance
Can any of the company-specific risk be diversified away by investing in both European Metals and Zurich Insurance 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 European Metals and Zurich Insurance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between European Metals Holdings and Zurich Insurance Group, you can compare the effects of market volatilities on European Metals and Zurich Insurance 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 European Metals with a short position of Zurich Insurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of European Metals and Zurich Insurance.
Diversification Opportunities for European Metals and Zurich Insurance
-0.48 | Correlation Coefficient |
Very good diversification
The 3 months correlation between European and Zurich is -0.48. Overlapping area represents the amount of risk that can be diversified away by holding European Metals Holdings and Zurich Insurance Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Zurich Insurance and European Metals 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 European Metals Holdings are associated (or correlated) with Zurich Insurance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Zurich Insurance has no effect on the direction of European Metals i.e., European Metals and Zurich Insurance go up and down completely randomly.
Pair Corralation between European Metals and Zurich Insurance
Assuming the 90 days trading horizon European Metals Holdings is expected to under-perform the Zurich Insurance. In addition to that, European Metals is 4.8 times more volatile than Zurich Insurance Group. It trades about -0.09 of its total potential returns per unit of risk. Zurich Insurance Group is currently generating about 0.2 per unit of volatility. If you would invest 50,285 in Zurich Insurance Group on September 12, 2024 and sell it today you would earn a total of 4,975 from holding Zurich Insurance Group or generate 9.89% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
European Metals Holdings vs. Zurich Insurance Group
Performance |
Timeline |
European Metals Holdings |
Zurich Insurance |
European Metals and Zurich Insurance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with European Metals and Zurich Insurance
The main advantage of trading using opposite European Metals and Zurich Insurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if European Metals position performs unexpectedly, Zurich Insurance 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 Zurich Insurance will offset losses from the drop in Zurich Insurance's long position.European Metals vs. National Bank of | European Metals vs. Alior Bank SA | European Metals vs. Solstad Offshore ASA | European Metals vs. St Galler Kantonalbank |
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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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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