Correlation Between First Majestic and Solaris Resources
Can any of the company-specific risk be diversified away by investing in both First Majestic and Solaris Resources 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 First Majestic and Solaris Resources into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between First Majestic Silver and Solaris Resources, you can compare the effects of market volatilities on First Majestic and Solaris Resources 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 First Majestic with a short position of Solaris Resources. Check out your portfolio center. Please also check ongoing floating volatility patterns of First Majestic and Solaris Resources.
Diversification Opportunities for First Majestic and Solaris Resources
-0.44 | Correlation Coefficient |
Very good diversification
The 3 months correlation between First and Solaris is -0.44. Overlapping area represents the amount of risk that can be diversified away by holding First Majestic Silver and Solaris Resources in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Solaris Resources and First Majestic 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 First Majestic Silver are associated (or correlated) with Solaris Resources. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Solaris Resources has no effect on the direction of First Majestic i.e., First Majestic and Solaris Resources go up and down completely randomly.
Pair Corralation between First Majestic and Solaris Resources
Assuming the 90 days horizon First Majestic is expected to generate 1262.75 times less return on investment than Solaris Resources. But when comparing it to its historical volatility, First Majestic Silver is 1.25 times less risky than Solaris Resources. It trades about 0.0 of its potential returns per unit of risk. Solaris Resources is currently generating about 0.11 of returns per unit of risk over similar time horizon. If you would invest 345.00 in Solaris Resources on September 23, 2024 and sell it today you would earn a total of 106.00 from holding Solaris Resources or generate 30.72% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
First Majestic Silver vs. Solaris Resources
Performance |
Timeline |
First Majestic Silver |
Solaris Resources |
First Majestic and Solaris Resources Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with First Majestic and Solaris Resources
The main advantage of trading using opposite First Majestic and Solaris Resources positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if First Majestic position performs unexpectedly, Solaris Resources 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 Solaris Resources will offset losses from the drop in Solaris Resources' long position.First Majestic vs. Ivanhoe Energy | First Majestic vs. Orezone Gold Corp | First Majestic vs. Faraday Copper Corp |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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