Correlation Between Manulife Financial and Ping An
Can any of the company-specific risk be diversified away by investing in both Manulife Financial 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 Manulife Financial and Ping An into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Manulife Financial and Ping An Insurance, you can compare the effects of market volatilities on Manulife Financial 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 Manulife Financial with a short position of Ping An. Check out your portfolio center. Please also check ongoing floating volatility patterns of Manulife Financial and Ping An.
Diversification Opportunities for Manulife Financial and Ping An
-0.03 | Correlation Coefficient |
Good diversification
The 3 months correlation between Manulife and Ping is -0.03. Overlapping area represents the amount of risk that can be diversified away by holding Manulife Financial and Ping An Insurance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ping An Insurance and Manulife Financial 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 Manulife Financial 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 Insurance has no effect on the direction of Manulife Financial i.e., Manulife Financial and Ping An go up and down completely randomly.
Pair Corralation between Manulife Financial and Ping An
Assuming the 90 days horizon Manulife Financial is expected to generate 2.69 times less return on investment than Ping An. But when comparing it to its historical volatility, Manulife Financial is 3.73 times less risky than Ping An. It trades about 0.1 of its potential returns per unit of risk. Ping An Insurance is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 487.00 in Ping An Insurance on April 20, 2025 and sell it today you would earn a total of 84.00 from holding Ping An Insurance or generate 17.25% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.44% |
Values | Daily Returns |
Manulife Financial vs. Ping An Insurance
Performance |
Timeline |
Manulife Financial |
Ping An Insurance |
Manulife Financial and Ping An Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Manulife Financial and Ping An
The main advantage of trading using opposite Manulife Financial and Ping An positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Manulife Financial 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.Manulife Financial vs. Ping An Insurance | Manulife Financial vs. AIA Group Limited | Manulife Financial vs. China Life Insurance | Manulife Financial vs. MetLife |
Ping An vs. AIA Group Limited | Ping An vs. China Life Insurance | Ping An vs. MetLife | Ping An vs. Prudential plc |
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 Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.
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