Correlation Between BMO Global and BMO Global
Can any of the company-specific risk be diversified away by investing in both BMO 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 BMO 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 BMO Global Consumer and BMO Global Consumer, you can compare the effects of market volatilities on BMO 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 BMO Global with a short position of BMO Global. Check out your portfolio center. Please also check ongoing floating volatility patterns of BMO Global and BMO Global.
Diversification Opportunities for BMO Global and BMO Global
-0.69 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between BMO and BMO is -0.69. Overlapping area represents the amount of risk that can be diversified away by holding BMO Global Consumer and BMO Global Consumer in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BMO Global Consumer and BMO 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 BMO Global Consumer 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 Consumer has no effect on the direction of BMO Global i.e., BMO Global and BMO Global go up and down completely randomly.
Pair Corralation between BMO Global and BMO Global
Assuming the 90 days trading horizon BMO Global Consumer is expected to under-perform the BMO Global. But the etf apears to be less risky and, when comparing its historical volatility, BMO Global Consumer is 1.71 times less risky than BMO Global. The etf trades about -0.07 of its potential returns per unit of risk. The BMO Global Consumer is currently generating about 0.25 of returns per unit of risk over similar time horizon. If you would invest 3,760 in BMO Global Consumer on September 4, 2024 and sell it today you would earn a total of 548.00 from holding BMO Global Consumer or generate 14.57% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
BMO Global Consumer vs. BMO Global Consumer
Performance |
Timeline |
BMO Global Consumer |
BMO Global Consumer |
BMO Global and BMO Global Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BMO Global and BMO Global
The main advantage of trading using opposite BMO Global and BMO Global positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BMO 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.BMO Global vs. BMO Global Consumer | BMO Global vs. iShares SPTSX Capped | BMO Global vs. BMO Global Communications | BMO Global vs. BMO Global Infrastructure |
BMO Global vs. BMO Global Consumer | BMO Global vs. BMO Global Communications | BMO Global vs. BMO SPTSX Equal | BMO Global vs. iShares SP Global |
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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