Correlation Between Agnico Eagle and Kaiser Aluminum
Can any of the company-specific risk be diversified away by investing in both Agnico Eagle and Kaiser Aluminum 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 Kaiser Aluminum 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 Kaiser Aluminum, you can compare the effects of market volatilities on Agnico Eagle and Kaiser Aluminum 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 Kaiser Aluminum. Check out your portfolio center. Please also check ongoing floating volatility patterns of Agnico Eagle and Kaiser Aluminum.
Diversification Opportunities for Agnico Eagle and Kaiser Aluminum
0.04 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Agnico and Kaiser is 0.04. Overlapping area represents the amount of risk that can be diversified away by holding Agnico Eagle Mines and Kaiser Aluminum in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kaiser Aluminum 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 Kaiser Aluminum. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kaiser Aluminum has no effect on the direction of Agnico Eagle i.e., Agnico Eagle and Kaiser Aluminum go up and down completely randomly.
Pair Corralation between Agnico Eagle and Kaiser Aluminum
Considering the 90-day investment horizon Agnico Eagle Mines is expected to generate 1.24 times more return on investment than Kaiser Aluminum. However, Agnico Eagle is 1.24 times more volatile than Kaiser Aluminum. It trades about -0.15 of its potential returns per unit of risk. Kaiser Aluminum is currently generating about -0.42 per unit of risk. If you would invest 8,390 in Agnico Eagle Mines on September 23, 2024 and sell it today you would lose (574.00) from holding Agnico Eagle Mines or give up 6.84% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Agnico Eagle Mines vs. Kaiser Aluminum
Performance |
Timeline |
Agnico Eagle Mines |
Kaiser Aluminum |
Agnico Eagle and Kaiser Aluminum Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Agnico Eagle and Kaiser Aluminum
The main advantage of trading using opposite Agnico Eagle and Kaiser Aluminum positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Agnico Eagle position performs unexpectedly, Kaiser Aluminum 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 Kaiser Aluminum will offset losses from the drop in Kaiser Aluminum's long position.Agnico Eagle vs. Wheaton Precious Metals | Agnico Eagle vs. Newmont Goldcorp Corp | Agnico Eagle vs. Kinross Gold | Agnico Eagle vs. Gold Fields Ltd |
Kaiser Aluminum vs. Wheaton Precious Metals | Kaiser Aluminum vs. Royal Gold | Kaiser Aluminum vs. Agnico Eagle Mines | Kaiser Aluminum vs. Sandstorm Gold Ltd |
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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