Correlation Between Mercuries Life and China Mobile
Can any of the company-specific risk be diversified away by investing in both Mercuries Life and China Mobile 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 Mercuries Life and China Mobile into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Mercuries Life Insurance and China Mobile, you can compare the effects of market volatilities on Mercuries Life and China Mobile 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 Mercuries Life with a short position of China Mobile. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mercuries Life and China Mobile.
Diversification Opportunities for Mercuries Life and China Mobile
0.34 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Mercuries and China is 0.34. Overlapping area represents the amount of risk that can be diversified away by holding Mercuries Life Insurance and China Mobile in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on China Mobile and Mercuries Life 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 Mercuries Life Insurance are associated (or correlated) with China Mobile. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of China Mobile has no effect on the direction of Mercuries Life i.e., Mercuries Life and China Mobile go up and down completely randomly.
Pair Corralation between Mercuries Life and China Mobile
Assuming the 90 days trading horizon Mercuries Life Insurance is expected to under-perform the China Mobile. In addition to that, Mercuries Life is 1.05 times more volatile than China Mobile. It trades about -0.11 of its total potential returns per unit of risk. China Mobile is currently generating about 0.06 per unit of volatility. If you would invest 1,390 in China Mobile on October 25, 2024 and sell it today you would earn a total of 50.00 from holding China Mobile or generate 3.6% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Mercuries Life Insurance vs. China Mobile
Performance |
Timeline |
Mercuries Life Insurance |
China Mobile |
Mercuries Life and China Mobile Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Mercuries Life and China Mobile
The main advantage of trading using opposite Mercuries Life and China Mobile positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mercuries Life position performs unexpectedly, China Mobile 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 China Mobile will offset losses from the drop in China Mobile's long position.Mercuries Life vs. CSBC Corp Taiwan | Mercuries Life vs. Hung Sheng Construction | Mercuries Life vs. Ton Yi Industrial | Mercuries Life vs. De Licacy Industrial |
China Mobile vs. Ibase Gaming | China Mobile vs. Chi Sheng Chemical | China Mobile vs. Jinan Acetate Chemical | China Mobile vs. Cathay Chemical Works |
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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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