Correlation Between Faraday Copper and CMC Metals
Can any of the company-specific risk be diversified away by investing in both Faraday Copper and CMC 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 Faraday Copper and CMC Metals into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Faraday Copper Corp and CMC Metals, you can compare the effects of market volatilities on Faraday Copper and CMC 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 Faraday Copper with a short position of CMC Metals. Check out your portfolio center. Please also check ongoing floating volatility patterns of Faraday Copper and CMC Metals.
Diversification Opportunities for Faraday Copper and CMC Metals
0.19 | Correlation Coefficient |
Average diversification
The 3 months correlation between Faraday and CMC is 0.19. Overlapping area represents the amount of risk that can be diversified away by holding Faraday Copper Corp and CMC Metals in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CMC Metals and Faraday Copper 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 Faraday Copper Corp are associated (or correlated) with CMC Metals. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CMC Metals has no effect on the direction of Faraday Copper i.e., Faraday Copper and CMC Metals go up and down completely randomly.
Pair Corralation between Faraday Copper and CMC Metals
Assuming the 90 days trading horizon Faraday Copper is expected to generate 2.92 times less return on investment than CMC Metals. But when comparing it to its historical volatility, Faraday Copper Corp is 9.38 times less risky than CMC Metals. It trades about 0.13 of its potential returns per unit of risk. CMC Metals is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 3.00 in CMC Metals on August 25, 2024 and sell it today you would lose (1.00) from holding CMC Metals or give up 33.33% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Faraday Copper Corp vs. CMC Metals
Performance |
| Timeline |
| Faraday Copper Corp |
| CMC Metals |
Faraday Copper and CMC Metals Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Faraday Copper and CMC Metals
The main advantage of trading using opposite Faraday Copper and CMC Metals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Faraday Copper position performs unexpectedly, CMC 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 CMC Metals will offset losses from the drop in CMC Metals' long position.| Faraday Copper vs. Arizona Sonoran Copper | Faraday Copper vs. Filo Mining Corp | Faraday Copper vs. Marimaca Copper Corp |
| CMC Metals vs. First Majestic Silver | CMC Metals vs. Ivanhoe Energy | CMC Metals vs. Orezone Gold Corp | CMC Metals vs. Faraday Copper Corp |
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 Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.
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