Correlation Between Manulife Financial and Allhome Corp
Can any of the company-specific risk be diversified away by investing in both Manulife Financial and Allhome Corp 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 Allhome Corp into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Manulife Financial Corp and Allhome Corp, you can compare the effects of market volatilities on Manulife Financial and Allhome Corp 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 Allhome Corp. Check out your portfolio center. Please also check ongoing floating volatility patterns of Manulife Financial and Allhome Corp.
Diversification Opportunities for Manulife Financial and Allhome Corp
-0.02 | Correlation Coefficient |
Good diversification
The 3 months correlation between Manulife and Allhome is -0.02. Overlapping area represents the amount of risk that can be diversified away by holding Manulife Financial Corp and Allhome Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Allhome Corp 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 Corp are associated (or correlated) with Allhome Corp. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Allhome Corp has no effect on the direction of Manulife Financial i.e., Manulife Financial and Allhome Corp go up and down completely randomly.
Pair Corralation between Manulife Financial and Allhome Corp
Assuming the 90 days trading horizon Manulife Financial Corp is expected to generate 2.17 times more return on investment than Allhome Corp. However, Manulife Financial is 2.17 times more volatile than Allhome Corp. It trades about 0.0 of its potential returns per unit of risk. Allhome Corp is currently generating about -0.12 per unit of risk. If you would invest 168,496 in Manulife Financial Corp on December 29, 2024 and sell it today you would lose (8,496) from holding Manulife Financial Corp or give up 5.04% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 67.21% |
Values | Daily Returns |
Manulife Financial Corp vs. Allhome Corp
Performance |
Timeline |
Manulife Financial Corp |
Allhome Corp |
Manulife Financial and Allhome Corp Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Manulife Financial and Allhome Corp
The main advantage of trading using opposite Manulife Financial and Allhome Corp positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Manulife Financial position performs unexpectedly, Allhome Corp 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 Allhome Corp will offset losses from the drop in Allhome Corp's long position.Manulife Financial vs. Sun Life Financial | Manulife Financial vs. National Reinsurance | Manulife Financial vs. Semirara Mining Corp | Manulife Financial vs. Philex Mining Corp |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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