Correlation Between BMO Covered and Invesco FTSE
Can any of the company-specific risk be diversified away by investing in both BMO Covered and Invesco FTSE 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 Invesco FTSE 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 Invesco FTSE RAFI, you can compare the effects of market volatilities on BMO Covered and Invesco FTSE 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 Invesco FTSE. Check out your portfolio center. Please also check ongoing floating volatility patterns of BMO Covered and Invesco FTSE.
Diversification Opportunities for BMO Covered and Invesco FTSE
0.84 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between BMO and Invesco is 0.84. Overlapping area represents the amount of risk that can be diversified away by holding BMO Covered Call and Invesco FTSE RAFI in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Invesco FTSE RAFI 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 Invesco FTSE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Invesco FTSE RAFI has no effect on the direction of BMO Covered i.e., BMO Covered and Invesco FTSE go up and down completely randomly.
Pair Corralation between BMO Covered and Invesco FTSE
Assuming the 90 days trading horizon BMO Covered Call is expected to under-perform the Invesco FTSE. But the etf apears to be less risky and, when comparing its historical volatility, BMO Covered Call is 1.28 times less risky than Invesco FTSE. The etf trades about -0.15 of its potential returns per unit of risk. The Invesco FTSE RAFI is currently generating about -0.02 of returns per unit of risk over similar time horizon. If you would invest 3,594 in Invesco FTSE RAFI on October 10, 2024 and sell it today you would lose (25.00) from holding Invesco FTSE RAFI or give up 0.7% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
BMO Covered Call vs. Invesco FTSE RAFI
Performance |
Timeline |
BMO Covered Call |
Invesco FTSE RAFI |
BMO Covered and Invesco FTSE Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BMO Covered and Invesco FTSE
The main advantage of trading using opposite BMO Covered and Invesco FTSE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BMO Covered position performs unexpectedly, Invesco FTSE 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 Invesco FTSE will offset losses from the drop in Invesco FTSE's long position.BMO Covered vs. Invesco FTSE RAFI | BMO Covered vs. Invesco FTSE RAFI | BMO Covered vs. BMO Aggregate Bond | BMO Covered vs. iShares Canadian HYBrid |
Invesco FTSE vs. BMO Clean Energy | Invesco FTSE vs. Harvest Clean Energy | Invesco FTSE vs. First Trust Nasdaq | Invesco FTSE vs. TD Equity Index |
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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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