Correlation Between BMO Mid and Dynamic Active
Can any of the company-specific risk be diversified away by investing in both BMO Mid and Dynamic Active 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 Mid and Dynamic Active into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BMO Mid Provincial and Dynamic Active Tactical, you can compare the effects of market volatilities on BMO Mid and Dynamic Active 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 Mid with a short position of Dynamic Active. Check out your portfolio center. Please also check ongoing floating volatility patterns of BMO Mid and Dynamic Active.
Diversification Opportunities for BMO Mid and Dynamic Active
0.81 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between BMO and Dynamic is 0.81. Overlapping area represents the amount of risk that can be diversified away by holding BMO Mid Provincial and Dynamic Active Tactical in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dynamic Active Tactical and BMO Mid 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 Mid Provincial are associated (or correlated) with Dynamic Active. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dynamic Active Tactical has no effect on the direction of BMO Mid i.e., BMO Mid and Dynamic Active go up and down completely randomly.
Pair Corralation between BMO Mid and Dynamic Active
Assuming the 90 days trading horizon BMO Mid Provincial is expected to generate 0.97 times more return on investment than Dynamic Active. However, BMO Mid Provincial is 1.03 times less risky than Dynamic Active. It trades about 0.08 of its potential returns per unit of risk. Dynamic Active Tactical is currently generating about 0.05 per unit of risk. If you would invest 1,258 in BMO Mid Provincial on October 4, 2024 and sell it today you would earn a total of 138.00 from holding BMO Mid Provincial or generate 10.97% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
BMO Mid Provincial vs. Dynamic Active Tactical
Performance |
Timeline |
BMO Mid Provincial |
Dynamic Active Tactical |
BMO Mid and Dynamic Active Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BMO Mid and Dynamic Active
The main advantage of trading using opposite BMO Mid and Dynamic Active positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BMO Mid position performs unexpectedly, Dynamic Active 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 Dynamic Active will offset losses from the drop in Dynamic Active's long position.BMO Mid vs. BMO Long Federal | BMO Mid vs. BMO Long Provincial | BMO Mid vs. Wealthsimple Developed Markets | BMO Mid vs. Wealthsimple North America |
Dynamic Active vs. BMO Aggregate Bond | Dynamic Active vs. iShares Canadian Universe | Dynamic Active vs. BMO Core Plus | Dynamic Active vs. BMO Discount Bond |
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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