Correlation Between First Majestic and Cornish Metals
Can any of the company-specific risk be diversified away by investing in both First Majestic and Cornish Metals 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 Cornish Metals 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 Cornish Metals, you can compare the effects of market volatilities on First Majestic and Cornish Metals 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 Cornish Metals. Check out your portfolio center. Please also check ongoing floating volatility patterns of First Majestic and Cornish Metals.
Diversification Opportunities for First Majestic and Cornish Metals
0.12 | Correlation Coefficient |
Average diversification
The 3 months correlation between First and Cornish is 0.12. Overlapping area represents the amount of risk that can be diversified away by holding First Majestic Silver and Cornish Metals in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cornish Metals 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 Cornish Metals. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cornish Metals has no effect on the direction of First Majestic i.e., First Majestic and Cornish Metals go up and down completely randomly.
Pair Corralation between First Majestic and Cornish Metals
Assuming the 90 days trading horizon First Majestic Silver is expected to generate 0.86 times more return on investment than Cornish Metals. However, First Majestic Silver is 1.16 times less risky than Cornish Metals. It trades about 0.03 of its potential returns per unit of risk. Cornish Metals is currently generating about 0.02 per unit of risk. If you would invest 748.00 in First Majestic Silver on October 9, 2024 and sell it today you would earn a total of 117.00 from holding First Majestic Silver or generate 15.64% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
First Majestic Silver vs. Cornish Metals
Performance |
Timeline |
First Majestic Silver |
Cornish Metals |
First Majestic and Cornish Metals Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with First Majestic and Cornish Metals
The main advantage of trading using opposite First Majestic and Cornish Metals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if First Majestic position performs unexpectedly, Cornish Metals 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 Cornish Metals will offset losses from the drop in Cornish Metals' long position.First Majestic vs. Walmart | First Majestic vs. BYD Co | First Majestic vs. Volkswagen AG | First Majestic vs. Volkswagen AG Non Vtg |
Cornish Metals vs. Givaudan SA | Cornish Metals vs. Antofagasta PLC | Cornish Metals vs. Ferrexpo PLC | Cornish Metals vs. Atalaya Mining |
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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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