Correlation Between Agnico Eagle and Hurco Companies
Can any of the company-specific risk be diversified away by investing in both Agnico Eagle and Hurco Companies 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 Hurco Companies 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 Hurco Companies, you can compare the effects of market volatilities on Agnico Eagle and Hurco Companies 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 Hurco Companies. Check out your portfolio center. Please also check ongoing floating volatility patterns of Agnico Eagle and Hurco Companies.
Diversification Opportunities for Agnico Eagle and Hurco Companies
0.26 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Agnico and Hurco is 0.26. Overlapping area represents the amount of risk that can be diversified away by holding Agnico Eagle Mines and Hurco Companies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hurco Companies 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 Hurco Companies. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hurco Companies has no effect on the direction of Agnico Eagle i.e., Agnico Eagle and Hurco Companies go up and down completely randomly.
Pair Corralation between Agnico Eagle and Hurco Companies
Considering the 90-day investment horizon Agnico Eagle Mines is expected to generate 0.5 times more return on investment than Hurco Companies. However, Agnico Eagle Mines is 1.98 times less risky than Hurco Companies. It trades about 0.22 of its potential returns per unit of risk. Hurco Companies is currently generating about -0.05 per unit of risk. If you would invest 8,165 in Agnico Eagle Mines on December 3, 2024 and sell it today you would earn a total of 1,463 from holding Agnico Eagle Mines or generate 17.92% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Agnico Eagle Mines vs. Hurco Companies
Performance |
Timeline |
Agnico Eagle Mines |
Hurco Companies |
Agnico Eagle and Hurco Companies Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Agnico Eagle and Hurco Companies
The main advantage of trading using opposite Agnico Eagle and Hurco Companies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Agnico Eagle position performs unexpectedly, Hurco Companies 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 Hurco Companies will offset losses from the drop in Hurco Companies' 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 |
Hurco Companies vs. Enerpac Tool Group | Hurco Companies vs. Enpro Industries | Hurco Companies vs. Omega Flex | Hurco Companies vs. Gorman Rupp |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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