Correlation Between BMO High and Dynamic Active
Can any of the company-specific risk be diversified away by investing in both BMO High 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 High 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 High Dividend and Dynamic Active Global, you can compare the effects of market volatilities on BMO High 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 High with a short position of Dynamic Active. Check out your portfolio center. Please also check ongoing floating volatility patterns of BMO High and Dynamic Active.
Diversification Opportunities for BMO High and Dynamic Active
0.62 | Correlation Coefficient |
Poor diversification
The 3 months correlation between BMO and Dynamic is 0.62. Overlapping area represents the amount of risk that can be diversified away by holding BMO High Dividend and Dynamic Active Global in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dynamic Active Global and BMO High 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 High Dividend 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 Global has no effect on the direction of BMO High i.e., BMO High and Dynamic Active go up and down completely randomly.
Pair Corralation between BMO High and Dynamic Active
Assuming the 90 days trading horizon BMO High Dividend is expected to generate 0.88 times more return on investment than Dynamic Active. However, BMO High Dividend is 1.14 times less risky than Dynamic Active. It trades about -0.13 of its potential returns per unit of risk. Dynamic Active Global is currently generating about -0.12 per unit of risk. If you would invest 2,502 in BMO High Dividend on October 5, 2024 and sell it today you would lose (40.00) from holding BMO High Dividend or give up 1.6% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
BMO High Dividend vs. Dynamic Active Global
Performance |
Timeline |
BMO High Dividend |
Dynamic Active Global |
BMO High and Dynamic Active Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BMO High and Dynamic Active
The main advantage of trading using opposite BMO High and Dynamic Active positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BMO High 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 High vs. BMO Europe High | BMO High vs. BMO Covered Call | BMO High vs. BMO Covered Call | BMO High vs. BMO Europe High |
Dynamic Active vs. Dynamic Active Canadian | Dynamic Active vs. Dynamic Active Dividend | Dynamic Active vs. Dynamic Active Global | Dynamic Active vs. Dynamic Active Mid Cap |
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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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