Correlation Between Adriatic Metals and Lynas Rare
Can any of the company-specific risk be diversified away by investing in both Adriatic Metals and Lynas Rare 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 Adriatic Metals and Lynas Rare into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Adriatic Metals Plc and Lynas Rare Earths, you can compare the effects of market volatilities on Adriatic Metals and Lynas Rare 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 Adriatic Metals with a short position of Lynas Rare. Check out your portfolio center. Please also check ongoing floating volatility patterns of Adriatic Metals and Lynas Rare.
Diversification Opportunities for Adriatic Metals and Lynas Rare
0.15 | Correlation Coefficient |
Average diversification
The 3 months correlation between Adriatic and Lynas is 0.15. Overlapping area represents the amount of risk that can be diversified away by holding Adriatic Metals Plc and Lynas Rare Earths in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lynas Rare Earths and Adriatic 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 Adriatic Metals Plc are associated (or correlated) with Lynas Rare. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lynas Rare Earths has no effect on the direction of Adriatic Metals i.e., Adriatic Metals and Lynas Rare go up and down completely randomly.
Pair Corralation between Adriatic Metals and Lynas Rare
Assuming the 90 days horizon Adriatic Metals Plc is expected to generate 1.65 times more return on investment than Lynas Rare. However, Adriatic Metals is 1.65 times more volatile than Lynas Rare Earths. It trades about 0.03 of its potential returns per unit of risk. Lynas Rare Earths is currently generating about -0.06 per unit of risk. If you would invest 261.00 in Adriatic Metals Plc on November 30, 2024 and sell it today you would earn a total of 7.00 from holding Adriatic Metals Plc or generate 2.68% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 98.33% |
Values | Daily Returns |
Adriatic Metals Plc vs. Lynas Rare Earths
Performance |
Timeline |
Adriatic Metals Plc |
Lynas Rare Earths |
Adriatic Metals and Lynas Rare Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Adriatic Metals and Lynas Rare
The main advantage of trading using opposite Adriatic Metals and Lynas Rare positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Adriatic Metals position performs unexpectedly, Lynas Rare 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 Lynas Rare will offset losses from the drop in Lynas Rare's long position.Adriatic Metals vs. Avarone Metals | Adriatic Metals vs. Huntsman Exploration | Adriatic Metals vs. Aurelia Metals Limited | Adriatic Metals vs. Almonty Industries |
Lynas Rare vs. Aclara Resources | Lynas Rare vs. Anson Resources Limited | Lynas Rare vs. CDN Maverick Capital | Lynas Rare vs. Boliden AB ADR |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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