Correlation Between China Communications and Ping An
Can any of the company-specific risk be diversified away by investing in both China Communications and Ping An 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 Communications and Ping An into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between China Communications Services and Ping An Healthcare, you can compare the effects of market volatilities on China Communications and Ping An 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 Communications with a short position of Ping An. Check out your portfolio center. Please also check ongoing floating volatility patterns of China Communications and Ping An.
Diversification Opportunities for China Communications and Ping An
-0.67 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between China and Ping is -0.67. Overlapping area represents the amount of risk that can be diversified away by holding China Communications Services and Ping An Healthcare in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ping An Healthcare and China Communications 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 Communications Services are associated (or correlated) with Ping An. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ping An Healthcare has no effect on the direction of China Communications i.e., China Communications and Ping An go up and down completely randomly.
Pair Corralation between China Communications and Ping An
Assuming the 90 days horizon China Communications Services is expected to generate 0.26 times more return on investment than Ping An. However, China Communications Services is 3.82 times less risky than Ping An. It trades about 0.23 of its potential returns per unit of risk. Ping An Healthcare is currently generating about 0.01 per unit of risk. If you would invest 50.00 in China Communications Services on October 7, 2024 and sell it today you would earn a total of 3.00 from holding China Communications Services or generate 6.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
China Communications Services vs. Ping An Healthcare
Performance |
Timeline |
China Communications |
Ping An Healthcare |
China Communications and Ping An Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with China Communications and Ping An
The main advantage of trading using opposite China Communications and Ping An positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if China Communications position performs unexpectedly, Ping An 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 Ping An will offset losses from the drop in Ping An's long position.China Communications vs. T Mobile | China Communications vs. Nippon Telegraph and | China Communications vs. Superior Plus Corp | China Communications vs. NMI Holdings |
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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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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