Correlation Between Hawesko Holding and Hanover Insurance
Can any of the company-specific risk be diversified away by investing in both Hawesko Holding and Hanover 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 Hawesko Holding and Hanover Insurance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hawesko Holding AG and The Hanover Insurance, you can compare the effects of market volatilities on Hawesko Holding and Hanover 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 Hawesko Holding with a short position of Hanover Insurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hawesko Holding and Hanover Insurance.
Diversification Opportunities for Hawesko Holding and Hanover Insurance
-0.62 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Hawesko and Hanover is -0.62. Overlapping area represents the amount of risk that can be diversified away by holding Hawesko Holding AG and The Hanover Insurance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hanover Insurance and Hawesko Holding 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 Hawesko Holding AG are associated (or correlated) with Hanover Insurance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hanover Insurance has no effect on the direction of Hawesko Holding i.e., Hawesko Holding and Hanover Insurance go up and down completely randomly.
Pair Corralation between Hawesko Holding and Hanover Insurance
Assuming the 90 days trading horizon Hawesko Holding is expected to generate 1.66 times less return on investment than Hanover Insurance. In addition to that, Hawesko Holding is 1.86 times more volatile than The Hanover Insurance. It trades about 0.04 of its total potential returns per unit of risk. The Hanover Insurance is currently generating about 0.12 per unit of volatility. If you would invest 13,019 in The Hanover Insurance on September 26, 2024 and sell it today you would earn a total of 1,581 from holding The Hanover Insurance or generate 12.14% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Hawesko Holding AG vs. The Hanover Insurance
Performance |
Timeline |
Hawesko Holding AG |
Hanover Insurance |
Hawesko Holding and Hanover Insurance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hawesko Holding and Hanover Insurance
The main advantage of trading using opposite Hawesko Holding and Hanover Insurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hawesko Holding position performs unexpectedly, Hanover 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 Hanover Insurance will offset losses from the drop in Hanover Insurance's long position.Hawesko Holding vs. The Hanover Insurance | Hawesko Holding vs. REVO INSURANCE SPA | Hawesko Holding vs. National Bank Holdings | Hawesko Holding vs. VIRG NATL BANKSH |
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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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