Correlation Between European Metals and First Majestic
Can any of the company-specific risk be diversified away by investing in both European Metals and First Majestic 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 European Metals and First Majestic into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between European Metals Holdings and First Majestic Silver, you can compare the effects of market volatilities on European Metals and First Majestic 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 European Metals with a short position of First Majestic. Check out your portfolio center. Please also check ongoing floating volatility patterns of European Metals and First Majestic.
Diversification Opportunities for European Metals and First Majestic
0.7 | Correlation Coefficient |
Poor diversification
The 3 months correlation between European and First is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding European Metals Holdings and First Majestic Silver in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on First Majestic Silver and European Metals 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 European Metals Holdings are associated (or correlated) with First Majestic. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of First Majestic Silver has no effect on the direction of European Metals i.e., European Metals and First Majestic go up and down completely randomly.
Pair Corralation between European Metals and First Majestic
Assuming the 90 days trading horizon European Metals is expected to generate 1.03 times less return on investment than First Majestic. In addition to that, European Metals is 1.3 times more volatile than First Majestic Silver. It trades about 0.08 of its total potential returns per unit of risk. First Majestic Silver is currently generating about 0.11 per unit of volatility. If you would invest 796.00 in First Majestic Silver on December 23, 2024 and sell it today you would earn a total of 202.00 from holding First Majestic Silver or generate 25.38% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
European Metals Holdings vs. First Majestic Silver
Performance |
Timeline |
European Metals Holdings |
First Majestic Silver |
European Metals and First Majestic Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with European Metals and First Majestic
The main advantage of trading using opposite European Metals and First Majestic positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if European Metals position performs unexpectedly, First Majestic 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 First Majestic will offset losses from the drop in First Majestic's long position.European Metals vs. Martin Marietta Materials | European Metals vs. Medical Properties Trust | European Metals vs. Heavitree Brewery | European Metals vs. Games Workshop Group |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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