Correlation Between BMO Aggregate and Franklin Global
Can any of the company-specific risk be diversified away by investing in both BMO Aggregate and Franklin Global 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 Aggregate and Franklin Global into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BMO Aggregate Bond and Franklin Global Aggregate, you can compare the effects of market volatilities on BMO Aggregate and Franklin Global 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 Aggregate with a short position of Franklin Global. Check out your portfolio center. Please also check ongoing floating volatility patterns of BMO Aggregate and Franklin Global.
Diversification Opportunities for BMO Aggregate and Franklin Global
0.91 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between BMO and Franklin is 0.91. Overlapping area represents the amount of risk that can be diversified away by holding BMO Aggregate Bond and Franklin Global Aggregate in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Franklin Global Aggregate and BMO Aggregate 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 Aggregate Bond are associated (or correlated) with Franklin Global. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Franklin Global Aggregate has no effect on the direction of BMO Aggregate i.e., BMO Aggregate and Franklin Global go up and down completely randomly.
Pair Corralation between BMO Aggregate and Franklin Global
Assuming the 90 days trading horizon BMO Aggregate Bond is expected to under-perform the Franklin Global. But the etf apears to be less risky and, when comparing its historical volatility, BMO Aggregate Bond is 1.02 times less risky than Franklin Global. The etf trades about -0.09 of its potential returns per unit of risk. The Franklin Global Aggregate is currently generating about -0.01 of returns per unit of risk over similar time horizon. If you would invest 1,909 in Franklin Global Aggregate on September 5, 2024 and sell it today you would lose (3.00) from holding Franklin Global Aggregate or give up 0.16% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 98.44% |
Values | Daily Returns |
BMO Aggregate Bond vs. Franklin Global Aggregate
Performance |
Timeline |
BMO Aggregate Bond |
Franklin Global Aggregate |
BMO Aggregate and Franklin Global Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BMO Aggregate and Franklin Global
The main advantage of trading using opposite BMO Aggregate and Franklin Global positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BMO Aggregate position performs unexpectedly, Franklin Global 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 Franklin Global will offset losses from the drop in Franklin Global's long position.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 |
Franklin Global vs. Franklin Bissett Corporate | Franklin Global vs. Mackenzie Core Plus | Franklin Global vs. Franklin Global Dividend | Franklin Global vs. Franklin Large Cap |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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