Correlation Between White Mountains and Sompo Holdings
Can any of the company-specific risk be diversified away by investing in both White Mountains and Sompo Holdings 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 Sompo Holdings 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 Sompo Holdings, you can compare the effects of market volatilities on White Mountains and Sompo Holdings 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 Sompo Holdings. Check out your portfolio center. Please also check ongoing floating volatility patterns of White Mountains and Sompo Holdings.
Diversification Opportunities for White Mountains and Sompo Holdings
0.41 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between White and Sompo is 0.41. Overlapping area represents the amount of risk that can be diversified away by holding White Mountains Insurance and Sompo Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sompo Holdings 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 Sompo Holdings. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sompo Holdings has no effect on the direction of White Mountains i.e., White Mountains and Sompo Holdings go up and down completely randomly.
Pair Corralation between White Mountains and Sompo Holdings
Considering the 90-day investment horizon White Mountains is expected to generate 1.4 times less return on investment than Sompo Holdings. But when comparing it to its historical volatility, White Mountains Insurance is 1.68 times less risky than Sompo Holdings. It trades about 0.15 of its potential returns per unit of risk. Sompo Holdings is currently generating about 0.13 of returns per unit of risk over similar time horizon. If you would invest 2,095 in Sompo Holdings on September 15, 2024 and sell it today you would earn a total of 408.00 from holding Sompo Holdings or generate 19.47% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 98.46% |
Values | Daily Returns |
White Mountains Insurance vs. Sompo Holdings
Performance |
Timeline |
White Mountains Insurance |
Sompo Holdings |
White Mountains and Sompo Holdings Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with White Mountains and Sompo Holdings
The main advantage of trading using opposite White Mountains and Sompo Holdings positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if White Mountains position performs unexpectedly, Sompo Holdings 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 Sompo Holdings will offset losses from the drop in Sompo Holdings' 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 |
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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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