Correlation Between BMO Global and BMO Covered
Can any of the company-specific risk be diversified away by investing in both BMO Global and BMO Covered 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 Covered 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 Covered Call, you can compare the effects of market volatilities on BMO Global and BMO Covered 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 Covered. Check out your portfolio center. Please also check ongoing floating volatility patterns of BMO Global and BMO Covered.
Diversification Opportunities for BMO Global and BMO Covered
-0.09 | Correlation Coefficient |
Good diversification
The 3 months correlation between BMO and BMO is -0.09. Overlapping area represents the amount of risk that can be diversified away by holding BMO Global Consumer and BMO Covered Call in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BMO Covered Call 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 Covered. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BMO Covered Call has no effect on the direction of BMO Global i.e., BMO Global and BMO Covered go up and down completely randomly.
Pair Corralation between BMO Global and BMO Covered
Assuming the 90 days trading horizon BMO Global Consumer is expected to under-perform the BMO Covered. In addition to that, BMO Global is 1.94 times more volatile than BMO Covered Call. It trades about -0.29 of its total potential returns per unit of risk. BMO Covered Call is currently generating about 0.34 per unit of volatility. If you would invest 1,061 in BMO Covered Call on December 11, 2024 and sell it today you would earn a total of 45.00 from holding BMO Covered Call or generate 4.24% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
BMO Global Consumer vs. BMO Covered Call
Performance |
| Timeline |
| BMO Global Consumer |
| BMO Covered Call |
BMO Global and BMO Covered Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with BMO Global and BMO Covered
The main advantage of trading using opposite BMO Global and BMO Covered positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BMO Global position performs unexpectedly, BMO Covered 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 Covered will offset losses from the drop in BMO Covered's long position.| BMO Global vs. BMO Global Consumer | BMO Global vs. BMO Global Communications | BMO Global vs. BMO SPTSX Equal | BMO Global vs. iShares SP Global |
| BMO Covered vs. BMO Covered Call | BMO Covered vs. BMO Canadian High | BMO Covered vs. BMO Europe High | BMO Covered vs. Harvest Healthcare Leaders |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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