Correlation Between Algoma Steel and Tree Island
Can any of the company-specific risk be diversified away by investing in both Algoma Steel and Tree Island 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 Algoma Steel and Tree Island into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Algoma Steel Group and Tree Island Steel, you can compare the effects of market volatilities on Algoma Steel and Tree Island 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 Algoma Steel with a short position of Tree Island. Check out your portfolio center. Please also check ongoing floating volatility patterns of Algoma Steel and Tree Island.
Diversification Opportunities for Algoma Steel and Tree Island
-0.2 | Correlation Coefficient |
Good diversification
The 3 months correlation between Algoma and Tree is -0.2. Overlapping area represents the amount of risk that can be diversified away by holding Algoma Steel Group and Tree Island Steel in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Tree Island Steel and Algoma Steel 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 Algoma Steel Group are associated (or correlated) with Tree Island. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Tree Island Steel has no effect on the direction of Algoma Steel i.e., Algoma Steel and Tree Island go up and down completely randomly.
Pair Corralation between Algoma Steel and Tree Island
Assuming the 90 days trading horizon Algoma Steel Group is expected to generate 2.13 times more return on investment than Tree Island. However, Algoma Steel is 2.13 times more volatile than Tree Island Steel. It trades about 0.18 of its potential returns per unit of risk. Tree Island Steel is currently generating about -0.01 per unit of risk. If you would invest 669.00 in Algoma Steel Group on April 20, 2025 and sell it today you would earn a total of 293.00 from holding Algoma Steel Group or generate 43.8% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Algoma Steel Group vs. Tree Island Steel
Performance |
Timeline |
Algoma Steel Group |
Tree Island Steel |
Algoma Steel and Tree Island Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Algoma Steel and Tree Island
The main advantage of trading using opposite Algoma Steel and Tree Island positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Algoma Steel position performs unexpectedly, Tree Island 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 Tree Island will offset losses from the drop in Tree Island's long position.Algoma Steel vs. Algoma Steel Group | Algoma Steel vs. Champion Iron | Algoma Steel vs. Labrador Iron Ore | Algoma Steel vs. Tree Island Steel |
Tree Island vs. Algoma Steel Group | Tree Island vs. Champion Iron | Tree Island vs. Friedman Industries Common | Tree Island vs. Labrador Iron Ore |
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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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