Correlation Between Arras Minerals and Canfor Pulp
Can any of the company-specific risk be diversified away by investing in both Arras Minerals and Canfor Pulp 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 Arras Minerals and Canfor Pulp into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Arras Minerals Corp and Canfor Pulp Products, you can compare the effects of market volatilities on Arras Minerals and Canfor Pulp 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 Arras Minerals with a short position of Canfor Pulp. Check out your portfolio center. Please also check ongoing floating volatility patterns of Arras Minerals and Canfor Pulp.
Diversification Opportunities for Arras Minerals and Canfor Pulp
-0.03 | Correlation Coefficient |
Good diversification
The 3 months correlation between Arras and Canfor is -0.03. Overlapping area represents the amount of risk that can be diversified away by holding Arras Minerals Corp and Canfor Pulp Products in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Canfor Pulp Products and Arras Minerals 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 Arras Minerals Corp are associated (or correlated) with Canfor Pulp. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Canfor Pulp Products has no effect on the direction of Arras Minerals i.e., Arras Minerals and Canfor Pulp go up and down completely randomly.
Pair Corralation between Arras Minerals and Canfor Pulp
Assuming the 90 days horizon Arras Minerals Corp is expected to generate 13.27 times more return on investment than Canfor Pulp. However, Arras Minerals is 13.27 times more volatile than Canfor Pulp Products. It trades about 0.41 of its potential returns per unit of risk. Canfor Pulp Products is currently generating about -0.24 per unit of risk. If you would invest 19.00 in Arras Minerals Corp on November 5, 2024 and sell it today you would earn a total of 20.00 from holding Arras Minerals Corp or generate 105.26% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 94.74% |
| Values | Daily Returns |
Arras Minerals Corp vs. Canfor Pulp Products
Performance |
| Timeline |
| Arras Minerals Corp |
| Canfor Pulp Products |
Arras Minerals and Canfor Pulp Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Arras Minerals and Canfor Pulp
The main advantage of trading using opposite Arras Minerals and Canfor Pulp positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Arras Minerals position performs unexpectedly, Canfor Pulp 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 Canfor Pulp will offset losses from the drop in Canfor Pulp's long position.| Arras Minerals vs. American Sierra Gold | Arras Minerals vs. Gold79 Mines | Arras Minerals vs. Cartier Iron Corp | Arras Minerals vs. Alien Metals |
| Canfor Pulp vs. Nine Dragons Paper | Canfor Pulp vs. Nine Dragons Paper | Canfor Pulp vs. Mondi PLC ADR | Canfor Pulp vs. Klabin Sa A |
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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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