Correlation Between Bank of Nova Scotia and Canaccord Genuity
Can any of the company-specific risk be diversified away by investing in both Bank of Nova Scotia and Canaccord Genuity 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 Nova Scotia and Canaccord Genuity into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bank of Nova and Canaccord Genuity Group, you can compare the effects of market volatilities on Bank of Nova Scotia and Canaccord Genuity 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 Nova Scotia with a short position of Canaccord Genuity. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of Nova Scotia and Canaccord Genuity.
Diversification Opportunities for Bank of Nova Scotia and Canaccord Genuity
0.9 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Bank and Canaccord is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding Bank of Nova and Canaccord Genuity Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Canaccord Genuity and Bank of Nova Scotia 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 Nova are associated (or correlated) with Canaccord Genuity. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Canaccord Genuity has no effect on the direction of Bank of Nova Scotia i.e., Bank of Nova Scotia and Canaccord Genuity go up and down completely randomly.
Pair Corralation between Bank of Nova Scotia and Canaccord Genuity
Assuming the 90 days trading horizon Bank of Nova is expected to generate 0.62 times more return on investment than Canaccord Genuity. However, Bank of Nova is 1.61 times less risky than Canaccord Genuity. It trades about 0.44 of its potential returns per unit of risk. Canaccord Genuity Group is currently generating about 0.19 per unit of risk. If you would invest 6,632 in Bank of Nova on April 24, 2025 and sell it today you would earn a total of 1,037 from holding Bank of Nova or generate 15.64% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Bank of Nova vs. Canaccord Genuity Group
Performance |
Timeline |
Bank of Nova Scotia |
Canaccord Genuity |
Bank of Nova Scotia and Canaccord Genuity Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of Nova Scotia and Canaccord Genuity
The main advantage of trading using opposite Bank of Nova Scotia and Canaccord Genuity positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of Nova Scotia position performs unexpectedly, Canaccord Genuity 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 Canaccord Genuity will offset losses from the drop in Canaccord Genuity's long position.Bank of Nova Scotia vs. Toronto Dominion Bank | Bank of Nova Scotia vs. Royal Bank of | Bank of Nova Scotia vs. Bank of Montreal | Bank of Nova Scotia vs. Canadian Imperial Bank |
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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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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