Correlation Between Interfor and GreenFirst Forest
Can any of the company-specific risk be diversified away by investing in both Interfor and GreenFirst Forest 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 Interfor and GreenFirst Forest into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Interfor and GreenFirst Forest Products, you can compare the effects of market volatilities on Interfor and GreenFirst Forest 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 Interfor with a short position of GreenFirst Forest. Check out your portfolio center. Please also check ongoing floating volatility patterns of Interfor and GreenFirst Forest.
Diversification Opportunities for Interfor and GreenFirst Forest
0.62 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Interfor and GreenFirst is 0.62. Overlapping area represents the amount of risk that can be diversified away by holding Interfor and GreenFirst Forest Products in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on GreenFirst Forest and Interfor 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 Interfor are associated (or correlated) with GreenFirst Forest. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of GreenFirst Forest has no effect on the direction of Interfor i.e., Interfor and GreenFirst Forest go up and down completely randomly.
Pair Corralation between Interfor and GreenFirst Forest
Assuming the 90 days horizon Interfor is expected to generate 0.89 times more return on investment than GreenFirst Forest. However, Interfor is 1.12 times less risky than GreenFirst Forest. It trades about -0.07 of its potential returns per unit of risk. GreenFirst Forest Products is currently generating about -0.06 per unit of risk. If you would invest 1,376 in Interfor on November 19, 2024 and sell it today you would lose (171.00) from holding Interfor or give up 12.43% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Interfor vs. GreenFirst Forest Products
Performance |
Timeline |
Interfor |
GreenFirst Forest |
Interfor and GreenFirst Forest Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Interfor and GreenFirst Forest
The main advantage of trading using opposite Interfor and GreenFirst Forest positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Interfor position performs unexpectedly, GreenFirst Forest 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 GreenFirst Forest will offset losses from the drop in GreenFirst Forest's long position.Interfor vs. Svenska Cellulosa Aktiebolaget | Interfor vs. Western Forest Products | Interfor vs. Stella Jones | Interfor vs. Simpson Manufacturing |
GreenFirst Forest vs. Fundamental Global | GreenFirst Forest vs. GreenFirst Forest Products | GreenFirst Forest vs. Galaxy Gaming | GreenFirst Forest vs. OppFi Inc |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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