Correlation Between Metals Exploration and Thor Mining
Can any of the company-specific risk be diversified away by investing in both Metals Exploration and Thor Mining 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 Metals Exploration and Thor Mining into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Metals Exploration Plc and Thor Mining PLC, you can compare the effects of market volatilities on Metals Exploration and Thor Mining 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 Metals Exploration with a short position of Thor Mining. Check out your portfolio center. Please also check ongoing floating volatility patterns of Metals Exploration and Thor Mining.
Diversification Opportunities for Metals Exploration and Thor Mining
-0.03 | Correlation Coefficient |
Good diversification
The 3 months correlation between Metals and Thor is -0.03. Overlapping area represents the amount of risk that can be diversified away by holding Metals Exploration Plc and Thor Mining PLC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Thor Mining PLC and Metals Exploration 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 Metals Exploration Plc are associated (or correlated) with Thor Mining. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Thor Mining PLC has no effect on the direction of Metals Exploration i.e., Metals Exploration and Thor Mining go up and down completely randomly.
Pair Corralation between Metals Exploration and Thor Mining
Assuming the 90 days trading horizon Metals Exploration Plc is expected to generate 0.88 times more return on investment than Thor Mining. However, Metals Exploration Plc is 1.14 times less risky than Thor Mining. It trades about 0.05 of its potential returns per unit of risk. Thor Mining PLC is currently generating about -0.04 per unit of risk. If you would invest 530.00 in Metals Exploration Plc on September 3, 2024 and sell it today you would earn a total of 40.00 from holding Metals Exploration Plc or generate 7.55% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Metals Exploration Plc vs. Thor Mining PLC
Performance |
Timeline |
Metals Exploration Plc |
Thor Mining PLC |
Metals Exploration and Thor Mining Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Metals Exploration and Thor Mining
The main advantage of trading using opposite Metals Exploration and Thor Mining positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Metals Exploration position performs unexpectedly, Thor Mining 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 Thor Mining will offset losses from the drop in Thor Mining's long position.Metals Exploration vs. Givaudan SA | Metals Exploration vs. Atalaya Mining | Metals Exploration vs. Central Asia Metals |
Thor Mining vs. Givaudan SA | Thor Mining vs. Atalaya Mining | Thor Mining vs. Central Asia Metals | Thor Mining vs. Metals Exploration Plc |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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