Correlation Between Critical Elements and Anglo American
Can any of the company-specific risk be diversified away by investing in both Critical Elements and Anglo American 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 Critical Elements and Anglo American into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Critical Elements and Anglo American PLC, you can compare the effects of market volatilities on Critical Elements and Anglo American 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 Critical Elements with a short position of Anglo American. Check out your portfolio center. Please also check ongoing floating volatility patterns of Critical Elements and Anglo American.
Diversification Opportunities for Critical Elements and Anglo American
0.09 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Critical and Anglo is 0.09. Overlapping area represents the amount of risk that can be diversified away by holding Critical Elements and Anglo American PLC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Anglo American PLC and Critical Elements 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 Critical Elements are associated (or correlated) with Anglo American. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Anglo American PLC has no effect on the direction of Critical Elements i.e., Critical Elements and Anglo American go up and down completely randomly.
Pair Corralation between Critical Elements and Anglo American
Assuming the 90 days horizon Critical Elements is expected to generate 3.03 times more return on investment than Anglo American. However, Critical Elements is 3.03 times more volatile than Anglo American PLC. It trades about 0.11 of its potential returns per unit of risk. Anglo American PLC is currently generating about 0.01 per unit of risk. If you would invest 26.00 in Critical Elements on December 29, 2024 and sell it today you would earn a total of 9.00 from holding Critical Elements or generate 34.62% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Critical Elements vs. Anglo American PLC
Performance |
Timeline |
Critical Elements |
Anglo American PLC |
Critical Elements and Anglo American Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Critical Elements and Anglo American
The main advantage of trading using opposite Critical Elements and Anglo American positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Critical Elements position performs unexpectedly, Anglo American 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 Anglo American will offset losses from the drop in Anglo American's long position.Critical Elements vs. Argosy Minerals Limited | Critical Elements vs. Aurelia Metals Limited | Critical Elements vs. Artemis Resources | Critical Elements vs. Ascendant Resources |
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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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