Correlation Between BMO Long and IShares Floating
Can any of the company-specific risk be diversified away by investing in both BMO Long and IShares Floating 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 Long and IShares Floating into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BMO Long Corporate and iShares Floating Rate, you can compare the effects of market volatilities on BMO Long and IShares Floating 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 Long with a short position of IShares Floating. Check out your portfolio center. Please also check ongoing floating volatility patterns of BMO Long and IShares Floating.
Diversification Opportunities for BMO Long and IShares Floating
0.29 | Correlation Coefficient |
Modest diversification
The 3 months correlation between BMO and IShares is 0.29. Overlapping area represents the amount of risk that can be diversified away by holding BMO Long Corporate and iShares Floating Rate in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on iShares Floating Rate and BMO Long 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 Long Corporate are associated (or correlated) with IShares Floating. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of iShares Floating Rate has no effect on the direction of BMO Long i.e., BMO Long and IShares Floating go up and down completely randomly.
Pair Corralation between BMO Long and IShares Floating
Assuming the 90 days trading horizon BMO Long Corporate is expected to generate 12.97 times more return on investment than IShares Floating. However, BMO Long is 12.97 times more volatile than iShares Floating Rate. It trades about 0.03 of its potential returns per unit of risk. iShares Floating Rate is currently generating about 0.34 per unit of risk. If you would invest 1,409 in BMO Long Corporate on September 3, 2024 and sell it today you would earn a total of 171.00 from holding BMO Long Corporate or generate 12.14% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
BMO Long Corporate vs. iShares Floating Rate
Performance |
Timeline |
BMO Long Corporate |
iShares Floating Rate |
BMO Long and IShares Floating Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BMO Long and IShares Floating
The main advantage of trading using opposite BMO Long and IShares Floating positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BMO Long position performs unexpectedly, IShares Floating 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 IShares Floating will offset losses from the drop in IShares Floating's long position.BMO Long vs. BMO Mid Corporate | BMO Long vs. BMO Short Corporate | BMO Long vs. BMO High Yield | BMO Long vs. BMO Emerging Markets |
IShares Floating vs. BMO Short Federal | IShares Floating vs. BMO Short Corporate | IShares Floating vs. BMO Mid Corporate | IShares Floating vs. BMO Long 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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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