Correlation Between Arbor Metals and First Majestic
Can any of the company-specific risk be diversified away by investing in both Arbor 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 Arbor 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 Arbor Metals Corp and First Majestic Silver, you can compare the effects of market volatilities on Arbor 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 Arbor Metals with a short position of First Majestic. Check out your portfolio center. Please also check ongoing floating volatility patterns of Arbor Metals and First Majestic.
Diversification Opportunities for Arbor Metals and First Majestic
-0.33 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Arbor and First is -0.33. Overlapping area represents the amount of risk that can be diversified away by holding Arbor Metals Corp 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 Arbor 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 Arbor Metals Corp 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 Arbor Metals i.e., Arbor Metals and First Majestic go up and down completely randomly.
Pair Corralation between Arbor Metals and First Majestic
Assuming the 90 days horizon Arbor Metals Corp is expected to under-perform the First Majestic. But the stock apears to be less risky and, when comparing its historical volatility, Arbor Metals Corp is 1.3 times less risky than First Majestic. The stock trades about -0.17 of its potential returns per unit of risk. The First Majestic Silver is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 713.00 in First Majestic Silver on September 4, 2024 and sell it today you would earn a total of 122.00 from holding First Majestic Silver or generate 17.11% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.44% |
Values | Daily Returns |
Arbor Metals Corp vs. First Majestic Silver
Performance |
Timeline |
Arbor Metals Corp |
First Majestic Silver |
Arbor Metals and First Majestic Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Arbor Metals and First Majestic
The main advantage of trading using opposite Arbor Metals and First Majestic positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Arbor 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.Arbor Metals vs. Kiplin Metals | Arbor Metals vs. Pure Energy Minerals | Arbor Metals vs. Noram Lithium Corp | Arbor Metals vs. Minnova 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 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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