Correlation Between CI WisdomTree and BMO Aggregate
Can any of the company-specific risk be diversified away by investing in both CI WisdomTree and BMO Aggregate 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 CI WisdomTree and BMO Aggregate into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CI WisdomTree Japan and BMO Aggregate Bond, you can compare the effects of market volatilities on CI WisdomTree and BMO Aggregate 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 CI WisdomTree with a short position of BMO Aggregate. Check out your portfolio center. Please also check ongoing floating volatility patterns of CI WisdomTree and BMO Aggregate.
Diversification Opportunities for CI WisdomTree and BMO Aggregate
0.31 | Correlation Coefficient |
Weak diversification
The 3 months correlation between JAPN and BMO is 0.31. Overlapping area represents the amount of risk that can be diversified away by holding CI WisdomTree Japan and BMO Aggregate Bond in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BMO Aggregate Bond and CI WisdomTree 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 CI WisdomTree Japan are associated (or correlated) with BMO Aggregate. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BMO Aggregate Bond has no effect on the direction of CI WisdomTree i.e., CI WisdomTree and BMO Aggregate go up and down completely randomly.
Pair Corralation between CI WisdomTree and BMO Aggregate
Assuming the 90 days trading horizon CI WisdomTree is expected to generate 1.4 times less return on investment than BMO Aggregate. In addition to that, CI WisdomTree is 3.17 times more volatile than BMO Aggregate Bond. It trades about 0.02 of its total potential returns per unit of risk. BMO Aggregate Bond is currently generating about 0.07 per unit of volatility. If you would invest 2,979 in BMO Aggregate Bond on December 29, 2024 and sell it today you would earn a total of 47.00 from holding BMO Aggregate Bond or generate 1.58% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
CI WisdomTree Japan vs. BMO Aggregate Bond
Performance |
Timeline |
CI WisdomTree Japan |
BMO Aggregate Bond |
CI WisdomTree and BMO Aggregate Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CI WisdomTree and BMO Aggregate
The main advantage of trading using opposite CI WisdomTree and BMO Aggregate positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CI WisdomTree position performs unexpectedly, BMO Aggregate 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 Aggregate will offset losses from the drop in BMO Aggregate's long position.CI WisdomTree vs. NBI High Yield | CI WisdomTree vs. NBI Unconstrained Fixed | CI WisdomTree vs. Mackenzie Developed ex North | CI WisdomTree vs. BMO Short Term Bond |
BMO Aggregate vs. BMO Short Term Bond | BMO Aggregate vs. BMO Canadian Bank | BMO Aggregate vs. BMO Aggregate Bond | BMO Aggregate vs. BMO Balanced ETF |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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