Correlation Between White Mountains and Peoples Insurance
Can any of the company-specific risk be diversified away by investing in both White Mountains and Peoples 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 White Mountains and Peoples Insurance 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 The Peoples Insurance, you can compare the effects of market volatilities on White Mountains and Peoples 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 White Mountains with a short position of Peoples Insurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of White Mountains and Peoples Insurance.
Diversification Opportunities for White Mountains and Peoples Insurance
0.4 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between White and Peoples is 0.4. Overlapping area represents the amount of risk that can be diversified away by holding White Mountains Insurance and The Peoples Insurance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Peoples Insurance 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 Peoples Insurance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Peoples Insurance has no effect on the direction of White Mountains i.e., White Mountains and Peoples Insurance go up and down completely randomly.
Pair Corralation between White Mountains and Peoples Insurance
Considering the 90-day investment horizon White Mountains is expected to generate 9.16 times less return on investment than Peoples Insurance. But when comparing it to its historical volatility, White Mountains Insurance is 4.22 times less risky than Peoples Insurance. It trades about 0.04 of its potential returns per unit of risk. The Peoples Insurance is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest 3.65 in The Peoples Insurance on October 10, 2024 and sell it today you would earn a total of 32.35 from holding The Peoples Insurance or generate 886.3% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
White Mountains Insurance vs. The Peoples Insurance
Performance |
Timeline |
White Mountains Insurance |
Peoples Insurance |
White Mountains and Peoples Insurance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with White Mountains and Peoples Insurance
The main advantage of trading using opposite White Mountains and Peoples Insurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if White Mountains position performs unexpectedly, Peoples 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 Peoples Insurance will offset losses from the drop in Peoples Insurance'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 |
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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