Correlation Between Bank of Montreal and Gatekeeper Systems
Can any of the company-specific risk be diversified away by investing in both Bank of Montreal and Gatekeeper Systems 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 Gatekeeper Systems 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 Gatekeeper Systems, you can compare the effects of market volatilities on Bank of Montreal and Gatekeeper Systems 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 Gatekeeper Systems. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of Montreal and Gatekeeper Systems.
Diversification Opportunities for Bank of Montreal and Gatekeeper Systems
0.31 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Bank and Gatekeeper is 0.31. Overlapping area represents the amount of risk that can be diversified away by holding Bank of Montreal and Gatekeeper Systems in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Gatekeeper Systems 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 Gatekeeper Systems. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Gatekeeper Systems has no effect on the direction of Bank of Montreal i.e., Bank of Montreal and Gatekeeper Systems go up and down completely randomly.
Pair Corralation between Bank of Montreal and Gatekeeper Systems
Assuming the 90 days trading horizon Bank of Montreal is expected to under-perform the Gatekeeper Systems. But the preferred stock apears to be less risky and, when comparing its historical volatility, Bank of Montreal is 7.17 times less risky than Gatekeeper Systems. The preferred stock trades about -0.05 of its potential returns per unit of risk. The Gatekeeper Systems is currently generating about 0.24 of returns per unit of risk over similar time horizon. If you would invest 63.00 in Gatekeeper Systems on September 16, 2024 and sell it today you would earn a total of 7.00 from holding Gatekeeper Systems or generate 11.11% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Bank of Montreal vs. Gatekeeper Systems
Performance |
Timeline |
Bank of Montreal |
Gatekeeper Systems |
Bank of Montreal and Gatekeeper Systems Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of Montreal and Gatekeeper Systems
The main advantage of trading using opposite Bank of Montreal and Gatekeeper Systems positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of Montreal position performs unexpectedly, Gatekeeper Systems 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 Gatekeeper Systems will offset losses from the drop in Gatekeeper Systems' long position.Bank of Montreal vs. Maple Peak Investments | Bank of Montreal vs. Canadian General Investments | Bank of Montreal vs. TUT Fitness Group | Bank of Montreal vs. CVS HEALTH CDR |
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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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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