Correlation Between Global X and BMO Growth
Can any of the company-specific risk be diversified away by investing in both Global X and BMO Growth 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 Global X and BMO Growth into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Global X Balanced and BMO Growth ETF, you can compare the effects of market volatilities on Global X and BMO Growth 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 Global X with a short position of BMO Growth. Check out your portfolio center. Please also check ongoing floating volatility patterns of Global X and BMO Growth.
Diversification Opportunities for Global X and BMO Growth
0.98 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Global and BMO is 0.98. Overlapping area represents the amount of risk that can be diversified away by holding Global X Balanced and BMO Growth ETF in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BMO Growth ETF and Global X 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 Global X Balanced are associated (or correlated) with BMO Growth. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BMO Growth ETF has no effect on the direction of Global X i.e., Global X and BMO Growth go up and down completely randomly.
Pair Corralation between Global X and BMO Growth
Assuming the 90 days trading horizon Global X is expected to generate 1.13 times less return on investment than BMO Growth. But when comparing it to its historical volatility, Global X Balanced is 1.06 times less risky than BMO Growth. It trades about 0.11 of its potential returns per unit of risk. BMO Growth ETF is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 3,453 in BMO Growth ETF on October 11, 2024 and sell it today you would earn a total of 1,155 from holding BMO Growth ETF or generate 33.45% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Global X Balanced vs. BMO Growth ETF
Performance |
Timeline |
Global X Balanced |
BMO Growth ETF |
Global X and BMO Growth Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Global X and BMO Growth
The main advantage of trading using opposite Global X and BMO Growth positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Global X position performs unexpectedly, BMO Growth 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 Growth will offset losses from the drop in BMO Growth's long position.Global X vs. Vanguard All Equity ETF | Global X vs. Vanguard Balanced Portfolio | Global X vs. iShares Core Growth | Global X vs. Vanguard SP 500 |
BMO Growth vs. Vanguard All Equity ETF | BMO Growth vs. Vanguard Balanced Portfolio | BMO Growth vs. iShares Core Growth | BMO Growth vs. Vanguard SP 500 |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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