Correlation Between Vienna Insurance and Molson Coors
Can any of the company-specific risk be diversified away by investing in both Vienna Insurance and Molson Coors 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 Vienna Insurance and Molson Coors into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Vienna Insurance Group and Molson Coors Beverage, you can compare the effects of market volatilities on Vienna Insurance and Molson Coors 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 Vienna Insurance with a short position of Molson Coors. Check out your portfolio center. Please also check ongoing floating volatility patterns of Vienna Insurance and Molson Coors.
Diversification Opportunities for Vienna Insurance and Molson Coors
-0.39 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Vienna and Molson is -0.39. Overlapping area represents the amount of risk that can be diversified away by holding Vienna Insurance Group and Molson Coors Beverage in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Molson Coors Beverage and Vienna 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 Vienna Insurance Group are associated (or correlated) with Molson Coors. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Molson Coors Beverage has no effect on the direction of Vienna Insurance i.e., Vienna Insurance and Molson Coors go up and down completely randomly.
Pair Corralation between Vienna Insurance and Molson Coors
Assuming the 90 days trading horizon Vienna Insurance Group is expected to generate 0.46 times more return on investment than Molson Coors. However, Vienna Insurance Group is 2.16 times less risky than Molson Coors. It trades about 0.24 of its potential returns per unit of risk. Molson Coors Beverage is currently generating about -0.41 per unit of risk. If you would invest 2,945 in Vienna Insurance Group on October 11, 2024 and sell it today you would earn a total of 80.00 from holding Vienna Insurance Group or generate 2.72% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 95.24% |
Values | Daily Returns |
Vienna Insurance Group vs. Molson Coors Beverage
Performance |
Timeline |
Vienna Insurance |
Molson Coors Beverage |
Vienna Insurance and Molson Coors Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Vienna Insurance and Molson Coors
The main advantage of trading using opposite Vienna Insurance and Molson Coors positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Vienna Insurance position performs unexpectedly, Molson Coors 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 Molson Coors will offset losses from the drop in Molson Coors' long position.Vienna Insurance vs. United States Steel | Vienna Insurance vs. Silver Bullet Data | Vienna Insurance vs. Ironveld Plc | Vienna Insurance vs. Impax Environmental Markets |
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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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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