Correlation Between AfriTin Mining and Cornish Metals
Can any of the company-specific risk be diversified away by investing in both AfriTin Mining and Cornish Metals 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 Cornish Metals into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between AfriTin Mining and Cornish Metals, you can compare the effects of market volatilities on AfriTin Mining and Cornish Metals 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 Cornish Metals. Check out your portfolio center. Please also check ongoing floating volatility patterns of AfriTin Mining and Cornish Metals.
Diversification Opportunities for AfriTin Mining and Cornish Metals
-0.66 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between AfriTin and Cornish is -0.66. Overlapping area represents the amount of risk that can be diversified away by holding AfriTin Mining and Cornish Metals in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cornish Metals 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 Cornish Metals. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cornish Metals has no effect on the direction of AfriTin Mining i.e., AfriTin Mining and Cornish Metals go up and down completely randomly.
Pair Corralation between AfriTin Mining and Cornish Metals
Assuming the 90 days trading horizon AfriTin Mining is expected to generate 1.33 times more return on investment than Cornish Metals. However, AfriTin Mining is 1.33 times more volatile than Cornish Metals. It trades about -0.02 of its potential returns per unit of risk. Cornish Metals is currently generating about -0.11 per unit of risk. If you would invest 290.00 in AfriTin Mining on September 2, 2024 and sell it today you would lose (15.00) from holding AfriTin Mining or give up 5.17% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
AfriTin Mining vs. Cornish Metals
Performance |
| Timeline |
| AfriTin Mining |
| Cornish Metals |
AfriTin Mining and Cornish Metals Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with AfriTin Mining and Cornish Metals
The main advantage of trading using opposite AfriTin Mining and Cornish Metals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if AfriTin Mining position performs unexpectedly, Cornish Metals 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 Cornish Metals will offset losses from the drop in Cornish Metals' long position.| AfriTin Mining vs. PureTech Health plc | AfriTin Mining vs. Schweiter Technologies AG | AfriTin Mining vs. Aeorema Communications Plc | AfriTin Mining vs. Roper Technologies |
| Cornish Metals vs. Givaudan SA | Cornish Metals vs. Antofagasta PLC | Cornish Metals vs. Centamin PLC | Cornish Metals vs. Atalaya Mining |
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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