Correlation Between IA Financial and Cogeco Communications
Can any of the company-specific risk be diversified away by investing in both IA Financial and Cogeco Communications 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 IA Financial and Cogeco Communications into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between iA Financial and Cogeco Communications, you can compare the effects of market volatilities on IA Financial and Cogeco Communications 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 IA Financial with a short position of Cogeco Communications. Check out your portfolio center. Please also check ongoing floating volatility patterns of IA Financial and Cogeco Communications.
Diversification Opportunities for IA Financial and Cogeco Communications
0.05 | Correlation Coefficient |
Significant diversification
The 3 months correlation between IAG and Cogeco is 0.05. Overlapping area represents the amount of risk that can be diversified away by holding iA Financial and Cogeco Communications in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cogeco Communications and IA Financial 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 iA Financial are associated (or correlated) with Cogeco Communications. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cogeco Communications has no effect on the direction of IA Financial i.e., IA Financial and Cogeco Communications go up and down completely randomly.
Pair Corralation between IA Financial and Cogeco Communications
Assuming the 90 days trading horizon IA Financial is expected to generate 1.16 times less return on investment than Cogeco Communications. In addition to that, IA Financial is 1.16 times more volatile than Cogeco Communications. It trades about 0.04 of its total potential returns per unit of risk. Cogeco Communications is currently generating about 0.05 per unit of volatility. If you would invest 6,558 in Cogeco Communications on December 29, 2024 and sell it today you would earn a total of 282.00 from holding Cogeco Communications or generate 4.3% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
iA Financial vs. Cogeco Communications
Performance |
Timeline |
iA Financial |
Cogeco Communications |
IA Financial and Cogeco Communications Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with IA Financial and Cogeco Communications
The main advantage of trading using opposite IA Financial and Cogeco Communications positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if IA Financial position performs unexpectedly, Cogeco Communications 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 Cogeco Communications will offset losses from the drop in Cogeco Communications' long position.IA Financial vs. Great West Lifeco | IA Financial vs. Intact Financial | IA Financial vs. IGM Financial | IA Financial vs. Sun Life Financial |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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