Correlation Between American Funds and BMO Mid
Can any of the company-specific risk be diversified away by investing in both American Funds and BMO Mid 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 American Funds and BMO Mid into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between American Funds Fundamental and BMO Mid Term IG, you can compare the effects of market volatilities on American Funds and BMO Mid 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 American Funds with a short position of BMO Mid. Check out your portfolio center. Please also check ongoing floating volatility patterns of American Funds and BMO Mid.
Diversification Opportunities for American Funds and BMO Mid
-0.2 | Correlation Coefficient |
Good diversification
The 3 months correlation between American and BMO is -0.2. Overlapping area represents the amount of risk that can be diversified away by holding American Funds Fundamental and BMO Mid Term IG in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BMO Mid Term and American Funds 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 American Funds Fundamental are associated (or correlated) with BMO Mid. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BMO Mid Term has no effect on the direction of American Funds i.e., American Funds and BMO Mid go up and down completely randomly.
Pair Corralation between American Funds and BMO Mid
Assuming the 90 days horizon American Funds Fundamental is expected to generate 2.12 times more return on investment than BMO Mid. However, American Funds is 2.12 times more volatile than BMO Mid Term IG. It trades about 0.2 of its potential returns per unit of risk. BMO Mid Term IG is currently generating about 0.06 per unit of risk. If you would invest 8,096 in American Funds Fundamental on November 3, 2024 and sell it today you would earn a total of 322.00 from holding American Funds Fundamental or generate 3.98% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 90.91% |
| Values | Daily Returns |
American Funds Fundamental vs. BMO Mid Term IG
Performance |
| Timeline |
| American Funds Funda |
| BMO Mid Term |
American Funds and BMO Mid Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with American Funds and BMO Mid
The main advantage of trading using opposite American Funds and BMO Mid positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if American Funds position performs unexpectedly, BMO Mid 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 BMO Mid will offset losses from the drop in BMO Mid's long position.| American Funds vs. Federated Emerging Market | American Funds vs. Siit Emerging Markets | American Funds vs. Mid Cap 15x Strategy | American Funds vs. Ashmore Emerging Markets |
| BMO Mid vs. BMO Mid Term IG | BMO Mid vs. BMO Mid Corporate | BMO Mid vs. CI Canadian Banks | BMO Mid vs. BMO Long Corporate |
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 Earnings Calls module to check upcoming earnings announcements updated hourly across public exchanges.
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