Correlation Between Algoma Steel and Cleveland Cliffs
Can any of the company-specific risk be diversified away by investing in both Algoma Steel and Cleveland Cliffs 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 Cleveland Cliffs 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 Cleveland Cliffs, you can compare the effects of market volatilities on Algoma Steel and Cleveland Cliffs 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 Cleveland Cliffs. Check out your portfolio center. Please also check ongoing floating volatility patterns of Algoma Steel and Cleveland Cliffs.
Diversification Opportunities for Algoma Steel and Cleveland Cliffs
0.4 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Algoma and Cleveland is 0.4. Overlapping area represents the amount of risk that can be diversified away by holding Algoma Steel Group and Cleveland Cliffs in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cleveland Cliffs 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 Cleveland Cliffs. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cleveland Cliffs has no effect on the direction of Algoma Steel i.e., Algoma Steel and Cleveland Cliffs go up and down completely randomly.
Pair Corralation between Algoma Steel and Cleveland Cliffs
Assuming the 90 days horizon Algoma Steel Group is expected to generate 1.57 times more return on investment than Cleveland Cliffs. However, Algoma Steel is 1.57 times more volatile than Cleveland Cliffs. It trades about -0.13 of its potential returns per unit of risk. Cleveland Cliffs is currently generating about -0.53 per unit of risk. If you would invest 187.00 in Algoma Steel Group on September 29, 2024 and sell it today you would lose (23.00) from holding Algoma Steel Group or give up 12.3% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Algoma Steel Group vs. Cleveland Cliffs
Performance |
Timeline |
Algoma Steel Group |
Cleveland Cliffs |
Algoma Steel and Cleveland Cliffs Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Algoma Steel and Cleveland Cliffs
The main advantage of trading using opposite Algoma Steel and Cleveland Cliffs positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Algoma Steel position performs unexpectedly, Cleveland Cliffs 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 Cleveland Cliffs will offset losses from the drop in Cleveland Cliffs' long position.Algoma Steel vs. Algoma Steel Group | Algoma Steel vs. Evolv Technologies Holdings | Algoma Steel vs. Valens Semiconductor |
Cleveland Cliffs vs. Nucor Corp | Cleveland Cliffs vs. Steel Dynamics | Cleveland Cliffs vs. ArcelorMittal SA ADR | Cleveland Cliffs vs. Gerdau SA ADR |
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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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