Correlation Between HANOVER INSURANCE and Wilh Wilhelmsen
Can any of the company-specific risk be diversified away by investing in both HANOVER INSURANCE and Wilh Wilhelmsen 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 HANOVER INSURANCE and Wilh Wilhelmsen into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between HANOVER INSURANCE and Wilh Wilhelmsen Holding, you can compare the effects of market volatilities on HANOVER INSURANCE and Wilh Wilhelmsen 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 HANOVER INSURANCE with a short position of Wilh Wilhelmsen. Check out your portfolio center. Please also check ongoing floating volatility patterns of HANOVER INSURANCE and Wilh Wilhelmsen.
Diversification Opportunities for HANOVER INSURANCE and Wilh Wilhelmsen
-0.23 | Correlation Coefficient |
Very good diversification
The 3 months correlation between HANOVER and Wilh is -0.23. Overlapping area represents the amount of risk that can be diversified away by holding HANOVER INSURANCE and Wilh Wilhelmsen Holding in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Wilh Wilhelmsen Holding and HANOVER 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 HANOVER INSURANCE are associated (or correlated) with Wilh Wilhelmsen. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Wilh Wilhelmsen Holding has no effect on the direction of HANOVER INSURANCE i.e., HANOVER INSURANCE and Wilh Wilhelmsen go up and down completely randomly.
Pair Corralation between HANOVER INSURANCE and Wilh Wilhelmsen
Assuming the 90 days trading horizon HANOVER INSURANCE is expected to generate 1.16 times more return on investment than Wilh Wilhelmsen. However, HANOVER INSURANCE is 1.16 times more volatile than Wilh Wilhelmsen Holding. It trades about 0.09 of its potential returns per unit of risk. Wilh Wilhelmsen Holding is currently generating about 0.04 per unit of risk. If you would invest 14,519 in HANOVER INSURANCE on December 20, 2024 and sell it today you would earn a total of 1,281 from holding HANOVER INSURANCE or generate 8.82% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
HANOVER INSURANCE vs. Wilh Wilhelmsen Holding
Performance |
Timeline |
HANOVER INSURANCE |
Wilh Wilhelmsen Holding |
HANOVER INSURANCE and Wilh Wilhelmsen Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with HANOVER INSURANCE and Wilh Wilhelmsen
The main advantage of trading using opposite HANOVER INSURANCE and Wilh Wilhelmsen positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if HANOVER INSURANCE position performs unexpectedly, Wilh Wilhelmsen 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 Wilh Wilhelmsen will offset losses from the drop in Wilh Wilhelmsen's long position.HANOVER INSURANCE vs. BC TECHNOLOGY GROUP | HANOVER INSURANCE vs. Cognizant Technology Solutions | HANOVER INSURANCE vs. Tyson Foods | HANOVER INSURANCE vs. LIFEWAY FOODS |
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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 Companies Directory module to evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals.
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