Correlation Between China Mobile and Manulife Financial
Can any of the company-specific risk be diversified away by investing in both China Mobile and Manulife Financial 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 China Mobile and Manulife Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between China Life Insurance and Manulife Financial, you can compare the effects of market volatilities on China Mobile and Manulife Financial 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 China Mobile with a short position of Manulife Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of China Mobile and Manulife Financial.
Diversification Opportunities for China Mobile and Manulife Financial
0.76 | Correlation Coefficient |
Poor diversification
The 3 months correlation between China and Manulife is 0.76. Overlapping area represents the amount of risk that can be diversified away by holding China Life Insurance and Manulife Financial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Manulife Financial and China Mobile 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 China Life Insurance are associated (or correlated) with Manulife Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Manulife Financial has no effect on the direction of China Mobile i.e., China Mobile and Manulife Financial go up and down completely randomly.
Pair Corralation between China Mobile and Manulife Financial
Assuming the 90 days horizon China Life Insurance is expected to generate 3.76 times more return on investment than Manulife Financial. However, China Mobile is 3.76 times more volatile than Manulife Financial. It trades about 0.18 of its potential returns per unit of risk. Manulife Financial is currently generating about 0.22 per unit of risk. If you would invest 118.00 in China Life Insurance on September 12, 2024 and sell it today you would earn a total of 76.00 from holding China Life Insurance or generate 64.41% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
China Life Insurance vs. Manulife Financial
Performance |
Timeline |
China Life Insurance |
Manulife Financial |
China Mobile and Manulife Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with China Mobile and Manulife Financial
The main advantage of trading using opposite China Mobile and Manulife Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if China Mobile position performs unexpectedly, Manulife Financial 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 Manulife Financial will offset losses from the drop in Manulife Financial's long position.China Mobile vs. Jacquet Metal Service | China Mobile vs. Texas Roadhouse | China Mobile vs. Perseus Mining Limited | China Mobile vs. Evolution Mining Limited |
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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 File Import module to quickly import all of your third-party portfolios from your local drive in csv format.
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