Correlation Between White Mountains and ZhongAn Online
Can any of the company-specific risk be diversified away by investing in both White Mountains and ZhongAn Online 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 ZhongAn Online 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 ZhongAn Online P, you can compare the effects of market volatilities on White Mountains and ZhongAn Online 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 ZhongAn Online. Check out your portfolio center. Please also check ongoing floating volatility patterns of White Mountains and ZhongAn Online.
Diversification Opportunities for White Mountains and ZhongAn Online
-0.43 | Correlation Coefficient |
Very good diversification
The 3 months correlation between White and ZhongAn is -0.43. Overlapping area represents the amount of risk that can be diversified away by holding White Mountains Insurance and ZhongAn Online P in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ZhongAn Online P 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 ZhongAn Online. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ZhongAn Online P has no effect on the direction of White Mountains i.e., White Mountains and ZhongAn Online go up and down completely randomly.
Pair Corralation between White Mountains and ZhongAn Online
Considering the 90-day investment horizon White Mountains Insurance is expected to generate 0.18 times more return on investment than ZhongAn Online. However, White Mountains Insurance is 5.52 times less risky than ZhongAn Online. It trades about -0.09 of its potential returns per unit of risk. ZhongAn Online P is currently generating about -0.22 per unit of risk. If you would invest 198,502 in White Mountains Insurance on October 6, 2024 and sell it today you would lose (5,101) from holding White Mountains Insurance or give up 2.57% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
White Mountains Insurance vs. ZhongAn Online P
Performance |
Timeline |
White Mountains Insurance |
ZhongAn Online P |
White Mountains and ZhongAn Online Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with White Mountains and ZhongAn Online
The main advantage of trading using opposite White Mountains and ZhongAn Online positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if White Mountains position performs unexpectedly, ZhongAn Online 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 ZhongAn Online will offset losses from the drop in ZhongAn Online'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 Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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