Correlation Between Hanover Insurance and White Mountains
Can any of the company-specific risk be diversified away by investing in both Hanover Insurance and White Mountains 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 White Mountains into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between The Hanover Insurance and White Mountains Insurance, you can compare the effects of market volatilities on Hanover Insurance and White Mountains 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 White Mountains. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hanover Insurance and White Mountains.
Diversification Opportunities for Hanover Insurance and White Mountains
0.63 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Hanover and White is 0.63. Overlapping area represents the amount of risk that can be diversified away by holding The Hanover Insurance and White Mountains Insurance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on White Mountains Insurance 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 The Hanover Insurance are associated (or correlated) with White Mountains. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of White Mountains Insurance has no effect on the direction of Hanover Insurance i.e., Hanover Insurance and White Mountains go up and down completely randomly.
Pair Corralation between Hanover Insurance and White Mountains
Considering the 90-day investment horizon The Hanover Insurance is expected to generate 1.32 times more return on investment than White Mountains. However, Hanover Insurance is 1.32 times more volatile than White Mountains Insurance. It trades about 0.1 of its potential returns per unit of risk. White Mountains Insurance is currently generating about 0.07 per unit of risk. If you would invest 15,244 in The Hanover Insurance on November 2, 2024 and sell it today you would earn a total of 417.00 from holding The Hanover Insurance or generate 2.74% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
The Hanover Insurance vs. White Mountains Insurance
Performance |
| Timeline |
| Hanover Insurance |
| White Mountains Insurance |
Hanover Insurance and White Mountains Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Hanover Insurance and White Mountains
The main advantage of trading using opposite Hanover Insurance and White Mountains positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hanover Insurance position performs unexpectedly, White Mountains 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 White Mountains will offset losses from the drop in White Mountains' long position.| Hanover Insurance vs. Horace Mann Educators | Hanover Insurance vs. Kemper | Hanover Insurance vs. RLI Corp | Hanover Insurance vs. Global Indemnity PLC |
| White Mountains vs. NI Holdings | White Mountains vs. Donegal Group A | White Mountains vs. Donegal Group B | White Mountains vs. The Hanover Insurance |
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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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