Correlation Between BMO Covered and Hamilton Enhanced
Can any of the company-specific risk be diversified away by investing in both BMO Covered and Hamilton Enhanced 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 Covered and Hamilton Enhanced into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BMO Covered Call and Hamilton Enhanced Multi Sector, you can compare the effects of market volatilities on BMO Covered and Hamilton Enhanced 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 Covered with a short position of Hamilton Enhanced. Check out your portfolio center. Please also check ongoing floating volatility patterns of BMO Covered and Hamilton Enhanced.
Diversification Opportunities for BMO Covered and Hamilton Enhanced
0.12 | Correlation Coefficient |
Average diversification
The 3 months correlation between BMO and Hamilton is 0.12. Overlapping area represents the amount of risk that can be diversified away by holding BMO Covered Call and Hamilton Enhanced Multi Sector in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hamilton Enhanced Multi and BMO Covered 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 Covered Call are associated (or correlated) with Hamilton Enhanced. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hamilton Enhanced Multi has no effect on the direction of BMO Covered i.e., BMO Covered and Hamilton Enhanced go up and down completely randomly.
Pair Corralation between BMO Covered and Hamilton Enhanced
Assuming the 90 days trading horizon BMO Covered Call is expected to under-perform the Hamilton Enhanced. But the etf apears to be less risky and, when comparing its historical volatility, BMO Covered Call is 1.34 times less risky than Hamilton Enhanced. The etf trades about -0.35 of its potential returns per unit of risk. The Hamilton Enhanced Multi Sector is currently generating about -0.12 of returns per unit of risk over similar time horizon. If you would invest 1,802 in Hamilton Enhanced Multi Sector on September 27, 2024 and sell it today you would lose (36.00) from holding Hamilton Enhanced Multi Sector or give up 2.0% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
BMO Covered Call vs. Hamilton Enhanced Multi Sector
Performance |
Timeline |
BMO Covered Call |
Hamilton Enhanced Multi |
BMO Covered and Hamilton Enhanced Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BMO Covered and Hamilton Enhanced
The main advantage of trading using opposite BMO Covered and Hamilton Enhanced positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BMO Covered position performs unexpectedly, Hamilton Enhanced 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 Hamilton Enhanced will offset losses from the drop in Hamilton Enhanced's long position.BMO Covered vs. Harvest Equal Weight | BMO Covered vs. First Asset Energy | BMO Covered vs. BMO Covered Call |
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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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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