Correlation Between First Majestic and Goldman Sachs
Can any of the company-specific risk be diversified away by investing in both First Majestic and Goldman Sachs 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 Goldman Sachs 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 The Goldman Sachs, you can compare the effects of market volatilities on First Majestic and Goldman Sachs 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 Goldman Sachs. Check out your portfolio center. Please also check ongoing floating volatility patterns of First Majestic and Goldman Sachs.
Diversification Opportunities for First Majestic and Goldman Sachs
-0.62 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between First and Goldman is -0.62. Overlapping area represents the amount of risk that can be diversified away by holding First Majestic Silver and The Goldman Sachs in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Goldman Sachs 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 Goldman Sachs. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Goldman Sachs has no effect on the direction of First Majestic i.e., First Majestic and Goldman Sachs go up and down completely randomly.
Pair Corralation between First Majestic and Goldman Sachs
Assuming the 90 days horizon First Majestic Silver is expected to under-perform the Goldman Sachs. But the stock apears to be less risky and, when comparing its historical volatility, First Majestic Silver is 2.07 times less risky than Goldman Sachs. The stock trades about 0.0 of its potential returns per unit of risk. The The Goldman Sachs is currently generating about 0.14 of returns per unit of risk over similar time horizon. If you would invest 830,855 in The Goldman Sachs on September 29, 2024 and sell it today you would earn a total of 339,255 from holding The Goldman Sachs or generate 40.83% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
First Majestic Silver vs. The Goldman Sachs
Performance |
Timeline |
First Majestic Silver |
Goldman Sachs |
First Majestic and Goldman Sachs Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with First Majestic and Goldman Sachs
The main advantage of trading using opposite First Majestic and Goldman Sachs positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if First Majestic position performs unexpectedly, Goldman Sachs 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 Goldman Sachs will offset losses from the drop in Goldman Sachs' long position.First Majestic vs. Visa Inc | First Majestic vs. Desarrolladora Homex SAB | First Majestic vs. Tesla Inc | First Majestic vs. G Collado SAB |
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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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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