Correlation Between Canfor Pulp and Stella Jones
Can any of the company-specific risk be diversified away by investing in both Canfor Pulp and Stella Jones 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 Canfor Pulp and Stella Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Canfor Pulp Products and Stella Jones, you can compare the effects of market volatilities on Canfor Pulp and Stella Jones 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 Canfor Pulp with a short position of Stella Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of Canfor Pulp and Stella Jones.
Diversification Opportunities for Canfor Pulp and Stella Jones
-0.65 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Canfor and Stella is -0.65. Overlapping area represents the amount of risk that can be diversified away by holding Canfor Pulp Products and Stella Jones in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Stella Jones and Canfor Pulp 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 Canfor Pulp Products are associated (or correlated) with Stella Jones. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Stella Jones has no effect on the direction of Canfor Pulp i.e., Canfor Pulp and Stella Jones go up and down completely randomly.
Pair Corralation between Canfor Pulp and Stella Jones
Assuming the 90 days horizon Canfor Pulp Products is expected to under-perform the Stella Jones. But the pink sheet apears to be less risky and, when comparing its historical volatility, Canfor Pulp Products is 1.28 times less risky than Stella Jones. The pink sheet trades about -0.1 of its potential returns per unit of risk. The Stella Jones is currently generating about 0.2 of returns per unit of risk over similar time horizon. If you would invest 4,812 in Stella Jones on May 4, 2025 and sell it today you would earn a total of 894.00 from holding Stella Jones or generate 18.58% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Canfor Pulp Products vs. Stella Jones
Performance |
Timeline |
Canfor Pulp Products |
Stella Jones |
Canfor Pulp and Stella Jones Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Canfor Pulp and Stella Jones
The main advantage of trading using opposite Canfor Pulp and Stella Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Canfor Pulp position performs unexpectedly, Stella Jones 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 Stella Jones will offset losses from the drop in Stella Jones' long position.Canfor Pulp vs. Advantage Solutions | Canfor Pulp vs. PureCycle Technologies | Canfor Pulp vs. WM Technology | Canfor Pulp vs. GCM Grosvenor |
Stella Jones vs. Advantage Solutions | Stella Jones vs. PureCycle Technologies | Stella Jones vs. WM Technology | Stella Jones vs. GCM Grosvenor |
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 Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.
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