Correlation Between Bank of Montreal and Goodfellow
Can any of the company-specific risk be diversified away by investing in both Bank of Montreal and Goodfellow 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 Goodfellow 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 Goodfellow, you can compare the effects of market volatilities on Bank of Montreal and Goodfellow 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 Goodfellow. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of Montreal and Goodfellow.
Diversification Opportunities for Bank of Montreal and Goodfellow
-0.71 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Bank and Goodfellow is -0.71. Overlapping area represents the amount of risk that can be diversified away by holding Bank of Montreal and Goodfellow in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Goodfellow 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 Goodfellow. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Goodfellow has no effect on the direction of Bank of Montreal i.e., Bank of Montreal and Goodfellow go up and down completely randomly.
Pair Corralation between Bank of Montreal and Goodfellow
Assuming the 90 days trading horizon Bank of Montreal is expected to generate 0.24 times more return on investment than Goodfellow. However, Bank of Montreal is 4.24 times less risky than Goodfellow. It trades about 0.14 of its potential returns per unit of risk. Goodfellow is currently generating about -0.02 per unit of risk. If you would invest 2,340 in Bank of Montreal on October 17, 2024 and sell it today you would earn a total of 300.00 from holding Bank of Montreal or generate 12.82% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Bank of Montreal vs. Goodfellow
Performance |
| Timeline |
| Bank of Montreal |
| Goodfellow |
Bank of Montreal and Goodfellow Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Bank of Montreal and Goodfellow
The main advantage of trading using opposite Bank of Montreal and Goodfellow positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of Montreal position performs unexpectedly, Goodfellow 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 Goodfellow will offset losses from the drop in Goodfellow's long position.| Bank of Montreal vs. Partners Value Investments | Bank of Montreal vs. Metalero Mining Corp | Bank of Montreal vs. Marimaca Copper Corp | Bank of Montreal vs. Brookfield Investments |
| Goodfellow vs. Algoma Central | Goodfellow vs. Taiga Building Products | Goodfellow vs. Conifex Timber | Goodfellow vs. Acadian Timber Corp |
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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