Correlation Between Ford and Manulife Financial
Can any of the company-specific risk be diversified away by investing in both Ford and Manulife Financial 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 Ford and Manulife Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ford Motor and Manulife Financial Corp, you can compare the effects of market volatilities on Ford and Manulife Financial 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 Ford with a short position of Manulife Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ford and Manulife Financial.
Diversification Opportunities for Ford and Manulife Financial
-0.61 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Ford and Manulife is -0.61. Overlapping area represents the amount of risk that can be diversified away by holding Ford Motor and Manulife Financial Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Manulife Financial Corp and Ford 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 Ford Motor are associated (or correlated) with Manulife Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Manulife Financial Corp has no effect on the direction of Ford i.e., Ford and Manulife Financial go up and down completely randomly.
Pair Corralation between Ford and Manulife Financial
Taking into account the 90-day investment horizon Ford is expected to generate 170.81 times less return on investment than Manulife Financial. In addition to that, Ford is 1.15 times more volatile than Manulife Financial Corp. It trades about 0.0 of its total potential returns per unit of risk. Manulife Financial Corp is currently generating about 0.18 per unit of volatility. If you would invest 2,323 in Manulife Financial Corp on October 12, 2024 and sell it today you would earn a total of 1,970 from holding Manulife Financial Corp or generate 84.8% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Weak |
| Accuracy | 36.57% |
| Values | Daily Returns |
Ford Motor vs. Manulife Financial Corp
Performance |
| Timeline |
| Ford Motor |
| Manulife Financial Corp |
Ford and Manulife Financial Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Ford and Manulife Financial
The main advantage of trading using opposite Ford and Manulife Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ford position performs unexpectedly, Manulife Financial 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 Manulife Financial will offset losses from the drop in Manulife Financial's long position.| Ford vs. Canoo Inc | Ford vs. Aquagold International | Ford vs. Morningstar Unconstrained Allocation | Ford vs. Thrivent High Yield |
| Manulife Financial vs. Walmart | Manulife Financial vs. BYD Co | Manulife Financial vs. Volkswagen AG | Manulife Financial vs. Volkswagen AG Non Vtg |
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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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