Correlation Between RBC Quant and BMO Long
Can any of the company-specific risk be diversified away by investing in both RBC Quant and BMO Long 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 RBC Quant and BMO Long into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between RBC Quant Emerging and BMO Long Provincial, you can compare the effects of market volatilities on RBC Quant and BMO Long 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 RBC Quant with a short position of BMO Long. Check out your portfolio center. Please also check ongoing floating volatility patterns of RBC Quant and BMO Long.
Diversification Opportunities for RBC Quant and BMO Long
Very good diversification
The 3 months correlation between RBC and BMO is -0.5. Overlapping area represents the amount of risk that can be diversified away by holding RBC Quant Emerging and BMO Long Provincial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BMO Long Provincial and RBC Quant 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 RBC Quant Emerging are associated (or correlated) with BMO Long. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BMO Long Provincial has no effect on the direction of RBC Quant i.e., RBC Quant and BMO Long go up and down completely randomly.
Pair Corralation between RBC Quant and BMO Long
Assuming the 90 days trading horizon RBC Quant Emerging is expected to under-perform the BMO Long. But the etf apears to be less risky and, when comparing its historical volatility, RBC Quant Emerging is 1.27 times less risky than BMO Long. The etf trades about -0.04 of its potential returns per unit of risk. The BMO Long Provincial is currently generating about 0.19 of returns per unit of risk over similar time horizon. If you would invest 1,253 in BMO Long Provincial on September 1, 2024 and sell it today you would earn a total of 47.00 from holding BMO Long Provincial or generate 3.75% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
RBC Quant Emerging vs. BMO Long Provincial
Performance |
| Timeline |
| RBC Quant Emerging |
| BMO Long Provincial |
RBC Quant and BMO Long Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with RBC Quant and BMO Long
The main advantage of trading using opposite RBC Quant and BMO Long positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if RBC Quant position performs unexpectedly, BMO Long 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 Long will offset losses from the drop in BMO Long's long position.| RBC Quant vs. RBC Quant European | RBC Quant vs. RBC Quant Canadian | RBC Quant vs. RBC Quant EAFE | RBC Quant vs. RBC Quant Dividend |
| BMO Long vs. BMO Long Corporate | BMO Long vs. BMO Short Provincial | BMO Long vs. BMO Mid Provincial | BMO Long vs. BMO Mid Corporate |
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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