Correlation Between AfriTin Mining and Metals Exploration
Can any of the company-specific risk be diversified away by investing in both AfriTin Mining and Metals Exploration 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 AfriTin Mining and Metals Exploration into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between AfriTin Mining and Metals Exploration Plc, you can compare the effects of market volatilities on AfriTin Mining and Metals Exploration 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 AfriTin Mining with a short position of Metals Exploration. Check out your portfolio center. Please also check ongoing floating volatility patterns of AfriTin Mining and Metals Exploration.
Diversification Opportunities for AfriTin Mining and Metals Exploration
-0.15 | Correlation Coefficient |
Good diversification
The 3 months correlation between AfriTin and Metals is -0.15. Overlapping area represents the amount of risk that can be diversified away by holding AfriTin Mining and Metals Exploration Plc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Metals Exploration Plc and AfriTin Mining 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 AfriTin Mining are associated (or correlated) with Metals Exploration. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Metals Exploration Plc has no effect on the direction of AfriTin Mining i.e., AfriTin Mining and Metals Exploration go up and down completely randomly.
Pair Corralation between AfriTin Mining and Metals Exploration
Assuming the 90 days trading horizon AfriTin Mining is expected to generate 1.96 times more return on investment than Metals Exploration. However, AfriTin Mining is 1.96 times more volatile than Metals Exploration Plc. It trades about 0.14 of its potential returns per unit of risk. Metals Exploration Plc is currently generating about 0.08 per unit of risk. If you would invest 213.00 in AfriTin Mining on December 31, 2024 and sell it today you would earn a total of 135.00 from holding AfriTin Mining or generate 63.38% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
AfriTin Mining vs. Metals Exploration Plc
Performance |
Timeline |
AfriTin Mining |
Metals Exploration Plc |
AfriTin Mining and Metals Exploration Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with AfriTin Mining and Metals Exploration
The main advantage of trading using opposite AfriTin Mining and Metals Exploration positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if AfriTin Mining position performs unexpectedly, Metals Exploration 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 Metals Exploration will offset losses from the drop in Metals Exploration's long position.AfriTin Mining vs. Compagnie Plastic Omnium | AfriTin Mining vs. G5 Entertainment AB | AfriTin Mining vs. Impax Asset Management | AfriTin Mining vs. Live Nation Entertainment |
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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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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