Correlation Between Canfor and Wilmington Capital
Can any of the company-specific risk be diversified away by investing in both Canfor and Wilmington Capital 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 and Wilmington Capital into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Canfor and Wilmington Capital Management, you can compare the effects of market volatilities on Canfor and Wilmington Capital 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 with a short position of Wilmington Capital. Check out your portfolio center. Please also check ongoing floating volatility patterns of Canfor and Wilmington Capital.
Diversification Opportunities for Canfor and Wilmington Capital
0.01 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Canfor and Wilmington is 0.01. Overlapping area represents the amount of risk that can be diversified away by holding Canfor and Wilmington Capital Management in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Wilmington Capital and Canfor 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 are associated (or correlated) with Wilmington Capital. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Wilmington Capital has no effect on the direction of Canfor i.e., Canfor and Wilmington Capital go up and down completely randomly.
Pair Corralation between Canfor and Wilmington Capital
Assuming the 90 days trading horizon Canfor is expected to generate 1.49 times more return on investment than Wilmington Capital. However, Canfor is 1.49 times more volatile than Wilmington Capital Management. It trades about 0.0 of its potential returns per unit of risk. Wilmington Capital Management is currently generating about -0.09 per unit of risk. If you would invest 1,491 in Canfor on December 29, 2024 and sell it today you would lose (13.00) from holding Canfor or give up 0.87% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Canfor vs. Wilmington Capital Management
Performance |
Timeline |
Canfor |
Wilmington Capital |
Canfor and Wilmington Capital Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Canfor and Wilmington Capital
The main advantage of trading using opposite Canfor and Wilmington Capital positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Canfor position performs unexpectedly, Wilmington Capital 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 Wilmington Capital will offset losses from the drop in Wilmington Capital's long position.Canfor vs. NeuPath Health | Canfor vs. Falcon Energy Materials | Canfor vs. NexPoint Hospitality Trust | Canfor vs. XXIX Metal Corp |
Wilmington Capital vs. Capstone Mining Corp | Wilmington Capital vs. Monument Mining Limited | Wilmington Capital vs. Calibre Mining Corp | Wilmington Capital vs. Osisko Metals |
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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