Correlation Between White Mountains and Hiscox
Can any of the company-specific risk be diversified away by investing in both White Mountains and Hiscox 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 White Mountains and Hiscox into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between White Mountains Insurance and Hiscox, you can compare the effects of market volatilities on White Mountains and Hiscox 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 White Mountains with a short position of Hiscox. Check out your portfolio center. Please also check ongoing floating volatility patterns of White Mountains and Hiscox.
Diversification Opportunities for White Mountains and Hiscox
-0.08 | Correlation Coefficient |
Good diversification
The 3 months correlation between White and Hiscox is -0.08. Overlapping area represents the amount of risk that can be diversified away by holding White Mountains Insurance and Hiscox in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hiscox and White Mountains 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 White Mountains Insurance are associated (or correlated) with Hiscox. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hiscox has no effect on the direction of White Mountains i.e., White Mountains and Hiscox go up and down completely randomly.
Pair Corralation between White Mountains and Hiscox
Considering the 90-day investment horizon White Mountains is expected to generate 12.68 times less return on investment than Hiscox. But when comparing it to its historical volatility, White Mountains Insurance is 2.18 times less risky than Hiscox. It trades about 0.01 of its potential returns per unit of risk. Hiscox is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 2,825 in Hiscox on December 19, 2024 and sell it today you would earn a total of 185.00 from holding Hiscox or generate 6.55% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 96.77% |
Values | Daily Returns |
White Mountains Insurance vs. Hiscox
Performance |
Timeline |
White Mountains Insurance |
Hiscox |
White Mountains and Hiscox Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with White Mountains and Hiscox
The main advantage of trading using opposite White Mountains and Hiscox positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if White Mountains position performs unexpectedly, Hiscox 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 Hiscox will offset losses from the drop in Hiscox's long position.White Mountains vs. NI Holdings | White Mountains vs. Donegal Group A | White Mountains vs. Donegal Group B | White Mountains vs. The Hanover Insurance |
Hiscox vs. Horace Mann Educators | Hiscox vs. Selective Insurance Group | Hiscox vs. Global Indemnity PLC | Hiscox vs. Argo Group International |
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 Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.
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