Correlation Between Bank Of Montreal and Global X
Can any of the company-specific risk be diversified away by investing in both Bank Of Montreal and Global X 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 Bank Of Montreal and Global X into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bank Of Montreal and Global X Funds, you can compare the effects of market volatilities on Bank Of Montreal and Global X 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 Bank Of Montreal with a short position of Global X. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank Of Montreal and Global X.
Diversification Opportunities for Bank Of Montreal and Global X
-0.56 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Bank and Global is -0.56. Overlapping area represents the amount of risk that can be diversified away by holding Bank Of Montreal and Global X Funds in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Global X Funds and Bank Of Montreal 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 Bank Of Montreal are associated (or correlated) with Global X. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Global X Funds has no effect on the direction of Bank Of Montreal i.e., Bank Of Montreal and Global X go up and down completely randomly.
Pair Corralation between Bank Of Montreal and Global X
Given the investment horizon of 90 days Bank Of Montreal is expected to generate 3.85 times more return on investment than Global X. However, Bank Of Montreal is 3.85 times more volatile than Global X Funds. It trades about 0.05 of its potential returns per unit of risk. Global X Funds is currently generating about 0.12 per unit of risk. If you would invest 40,968 in Bank Of Montreal on August 26, 2024 and sell it today you would earn a total of 9,280 from holding Bank Of Montreal or generate 22.65% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 66.27% |
| Values | Daily Returns |
Bank Of Montreal vs. Global X Funds
Performance |
| Timeline |
| Bank Of Montreal |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
| Global X Funds |
Bank Of Montreal and Global X Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Bank Of Montreal and Global X
The main advantage of trading using opposite Bank Of Montreal and Global X positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank Of Montreal position performs unexpectedly, Global X 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 Global X will offset losses from the drop in Global X's long position.| Bank Of Montreal vs. MicroSectors FANG Index | Bank Of Montreal vs. MicroSectors Solactive FANG | Bank Of Montreal vs. Direxion Daily Regional |
| Global X vs. Cambria Micro And | Global X vs. Invesco Actively Managed | Global X vs. iShares Trust | Global X vs. EMCS |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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