Correlation Between Manulife Financial and Great-West Lifeco
Can any of the company-specific risk be diversified away by investing in both Manulife Financial and Great-West Lifeco 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 Great-West Lifeco into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Manulife Financial and Great West Lifeco, you can compare the effects of market volatilities on Manulife Financial and Great-West Lifeco 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 Great-West Lifeco. Check out your portfolio center. Please also check ongoing floating volatility patterns of Manulife Financial and Great-West Lifeco.
Diversification Opportunities for Manulife Financial and Great-West Lifeco
0.89 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Manulife and Great-West is 0.89. Overlapping area represents the amount of risk that can be diversified away by holding Manulife Financial and Great West Lifeco in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Great West Lifeco 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 Great-West Lifeco. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Great West Lifeco has no effect on the direction of Manulife Financial i.e., Manulife Financial and Great-West Lifeco go up and down completely randomly.
Pair Corralation between Manulife Financial and Great-West Lifeco
Assuming the 90 days horizon Manulife Financial is expected to generate 1.21 times more return on investment than Great-West Lifeco. However, Manulife Financial is 1.21 times more volatile than Great West Lifeco. It trades about 0.13 of its potential returns per unit of risk. Great West Lifeco is currently generating about 0.08 per unit of risk. If you would invest 2,655 in Manulife Financial on October 10, 2024 and sell it today you would earn a total of 275.00 from holding Manulife Financial or generate 10.36% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Manulife Financial vs. Great West Lifeco
Performance |
Timeline |
Manulife Financial |
Great West Lifeco |
Manulife Financial and Great-West Lifeco Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Manulife Financial and Great-West Lifeco
The main advantage of trading using opposite Manulife Financial and Great-West Lifeco positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Manulife Financial position performs unexpectedly, Great-West Lifeco 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 Great-West Lifeco will offset losses from the drop in Great-West Lifeco's long position.Manulife Financial vs. TITAN MACHINERY | Manulife Financial vs. American Airlines Group | Manulife Financial vs. AEGEAN AIRLINES | Manulife Financial vs. HYDROFARM HLD GRP |
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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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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