Correlation Between Bank of Montreal and CI Financial
Can any of the company-specific risk be diversified away by investing in both Bank of Montreal and CI Financial 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 CI Financial 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 CI Financial Corp, you can compare the effects of market volatilities on Bank of Montreal and CI Financial 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 CI Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of Montreal and CI Financial.
Diversification Opportunities for Bank of Montreal and CI Financial
0.69 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Bank and CIX is 0.69. Overlapping area represents the amount of risk that can be diversified away by holding Bank of Montreal and CI Financial Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CI Financial Corp 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 CI Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CI Financial Corp has no effect on the direction of Bank of Montreal i.e., Bank of Montreal and CI Financial go up and down completely randomly.
Pair Corralation between Bank of Montreal and CI Financial
Assuming the 90 days trading horizon Bank of Montreal is expected to generate 15.15 times less return on investment than CI Financial. But when comparing it to its historical volatility, Bank of Montreal is 11.6 times less risky than CI Financial. It trades about 0.16 of its potential returns per unit of risk. CI Financial Corp is currently generating about 0.21 of returns per unit of risk over similar time horizon. If you would invest 1,945 in CI Financial Corp on October 7, 2024 and sell it today you would earn a total of 1,150 from holding CI Financial Corp or generate 59.13% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Bank of Montreal vs. CI Financial Corp
Performance |
Timeline |
Bank of Montreal |
CI Financial Corp |
Bank of Montreal and CI Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of Montreal and CI Financial
The main advantage of trading using opposite Bank of Montreal and CI Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of Montreal position performs unexpectedly, CI Financial 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 CI Financial will offset losses from the drop in CI Financial's long position.Bank of Montreal vs. Datable Technology Corp | Bank of Montreal vs. HPQ Silicon Resources | Bank of Montreal vs. Constellation Software | Bank of Montreal vs. Sun Peak Metals |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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