Correlation Between Forstrong Global and BMO Global
Can any of the company-specific risk be diversified away by investing in both Forstrong Global and BMO Global 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 Forstrong Global and BMO Global into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Forstrong Global Income and BMO Global High, you can compare the effects of market volatilities on Forstrong Global and BMO Global 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 Forstrong Global with a short position of BMO Global. Check out your portfolio center. Please also check ongoing floating volatility patterns of Forstrong Global and BMO Global.
Diversification Opportunities for Forstrong Global and BMO Global
0.5 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Forstrong and BMO is 0.5. Overlapping area represents the amount of risk that can be diversified away by holding Forstrong Global Income and BMO Global High in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BMO Global High and Forstrong Global 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 Forstrong Global Income are associated (or correlated) with BMO Global. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BMO Global High has no effect on the direction of Forstrong Global i.e., Forstrong Global and BMO Global go up and down completely randomly.
Pair Corralation between Forstrong Global and BMO Global
Assuming the 90 days trading horizon Forstrong Global Income is expected to generate 0.63 times more return on investment than BMO Global. However, Forstrong Global Income is 1.59 times less risky than BMO Global. It trades about 0.28 of its potential returns per unit of risk. BMO Global High is currently generating about 0.04 per unit of risk. If you would invest 2,187 in Forstrong Global Income on November 28, 2024 and sell it today you would earn a total of 37.00 from holding Forstrong Global Income or generate 1.69% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Forstrong Global Income vs. BMO Global High
Performance |
Timeline |
Forstrong Global Income |
BMO Global High |
Forstrong Global and BMO Global Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Forstrong Global and BMO Global
The main advantage of trading using opposite Forstrong Global and BMO Global positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Forstrong Global position performs unexpectedly, BMO Global 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 Global will offset losses from the drop in BMO Global's long position.Forstrong Global vs. Forstrong Global Ex North | Forstrong Global vs. Forstrong Global Growth | Forstrong Global vs. NBI High Yield | Forstrong Global vs. NBI Unconstrained Fixed |
BMO Global vs. BMO Short Term Bond | BMO Global vs. BMO Canadian Bank | BMO Global vs. BMO Aggregate Bond | BMO Global vs. BMO Balanced ETF |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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