Correlation Between IShares Floating and BMO Long
Can any of the company-specific risk be diversified away by investing in both IShares Floating 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 IShares Floating and BMO Long into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between iShares Floating Rate and BMO Long Federal, you can compare the effects of market volatilities on IShares Floating 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 IShares Floating with a short position of BMO Long. Check out your portfolio center. Please also check ongoing floating volatility patterns of IShares Floating and BMO Long.
Diversification Opportunities for IShares Floating and BMO Long
-0.66 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between IShares and BMO is -0.66. Overlapping area represents the amount of risk that can be diversified away by holding iShares Floating Rate and BMO Long Federal in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BMO Long Federal and IShares Floating 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 iShares Floating Rate 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 Federal has no effect on the direction of IShares Floating i.e., IShares Floating and BMO Long go up and down completely randomly.
Pair Corralation between IShares Floating and BMO Long
Assuming the 90 days trading horizon iShares Floating Rate is expected to generate 0.05 times more return on investment than BMO Long. However, iShares Floating Rate is 22.21 times less risky than BMO Long. It trades about 0.44 of its potential returns per unit of risk. BMO Long Federal is currently generating about -0.04 per unit of risk. If you would invest 1,991 in iShares Floating Rate on August 31, 2024 and sell it today you would earn a total of 14.00 from holding iShares Floating Rate or generate 0.7% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
iShares Floating Rate vs. BMO Long Federal
Performance |
Timeline |
iShares Floating Rate |
BMO Long Federal |
IShares Floating and BMO Long Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with IShares Floating and BMO Long
The main advantage of trading using opposite IShares Floating and BMO Long positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if IShares Floating 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.IShares Floating vs. Vanguard Total Market | IShares Floating vs. iShares High Quality | IShares Floating vs. iShares 1 10Yr Laddered | IShares Floating vs. iShares Canadian HYBrid |
BMO Long vs. iShares MSCI Emerging | BMO Long vs. iShares MSCI Global | BMO Long vs. iShares Core Canadian | BMO Long vs. Vanguard Total Market |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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