Correlation Between Agnico Eagle and Computer Modelling
Can any of the company-specific risk be diversified away by investing in both Agnico Eagle and Computer Modelling 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 Agnico Eagle and Computer Modelling into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Agnico Eagle Mines and Computer Modelling Group, you can compare the effects of market volatilities on Agnico Eagle and Computer Modelling 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 Agnico Eagle with a short position of Computer Modelling. Check out your portfolio center. Please also check ongoing floating volatility patterns of Agnico Eagle and Computer Modelling.
Diversification Opportunities for Agnico Eagle and Computer Modelling
-0.28 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Agnico and Computer is -0.28. Overlapping area represents the amount of risk that can be diversified away by holding Agnico Eagle Mines and Computer Modelling Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Computer Modelling and Agnico Eagle 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 Agnico Eagle Mines are associated (or correlated) with Computer Modelling. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Computer Modelling has no effect on the direction of Agnico Eagle i.e., Agnico Eagle and Computer Modelling go up and down completely randomly.
Pair Corralation between Agnico Eagle and Computer Modelling
Assuming the 90 days trading horizon Agnico Eagle Mines is expected to generate 0.56 times more return on investment than Computer Modelling. However, Agnico Eagle Mines is 1.8 times less risky than Computer Modelling. It trades about 0.18 of its potential returns per unit of risk. Computer Modelling Group is currently generating about -0.07 per unit of risk. If you would invest 14,868 in Agnico Eagle Mines on May 13, 2025 and sell it today you would earn a total of 3,797 from holding Agnico Eagle Mines or generate 25.54% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Agnico Eagle Mines vs. Computer Modelling Group
Performance |
Timeline |
Agnico Eagle Mines |
Computer Modelling |
Agnico Eagle and Computer Modelling Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Agnico Eagle and Computer Modelling
The main advantage of trading using opposite Agnico Eagle and Computer Modelling positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Agnico Eagle position performs unexpectedly, Computer Modelling 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 Computer Modelling will offset losses from the drop in Computer Modelling's long position.Agnico Eagle vs. Franco Nevada | Agnico Eagle vs. Kinross Gold Corp | Agnico Eagle vs. Barrick Gold Corp | Agnico Eagle vs. Wheaton Precious 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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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