Correlation Between First Majestic and Goldbank Mining
Can any of the company-specific risk be diversified away by investing in both First Majestic and Goldbank Mining 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 Goldbank Mining 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 Goldbank Mining Corp, you can compare the effects of market volatilities on First Majestic and Goldbank Mining 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 Goldbank Mining. Check out your portfolio center. Please also check ongoing floating volatility patterns of First Majestic and Goldbank Mining.
Diversification Opportunities for First Majestic and Goldbank Mining
0.16 | Correlation Coefficient |
Average diversification
The 3 months correlation between First and Goldbank is 0.16. Overlapping area represents the amount of risk that can be diversified away by holding First Majestic Silver and Goldbank Mining Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Goldbank Mining Corp 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 Goldbank Mining. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Goldbank Mining Corp has no effect on the direction of First Majestic i.e., First Majestic and Goldbank Mining go up and down completely randomly.
Pair Corralation between First Majestic and Goldbank Mining
Assuming the 90 days horizon First Majestic Silver is expected to under-perform the Goldbank Mining. In addition to that, First Majestic is 2.26 times more volatile than Goldbank Mining Corp. It trades about -0.05 of its total potential returns per unit of risk. Goldbank Mining Corp is currently generating about 0.09 per unit of volatility. If you would invest 18.00 in Goldbank Mining Corp on December 2, 2024 and sell it today you would earn a total of 1.00 from holding Goldbank Mining Corp or generate 5.56% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 97.62% |
Values | Daily Returns |
First Majestic Silver vs. Goldbank Mining Corp
Performance |
Timeline |
First Majestic Silver |
Goldbank Mining Corp |
First Majestic and Goldbank Mining Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with First Majestic and Goldbank Mining
The main advantage of trading using opposite First Majestic and Goldbank Mining positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if First Majestic position performs unexpectedly, Goldbank Mining 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 Goldbank Mining will offset losses from the drop in Goldbank Mining's long position.First Majestic vs. Algoma Steel Group | First Majestic vs. North American Construction | First Majestic vs. Richelieu Hardware | First Majestic vs. TGS Esports |
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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 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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