Correlation Between Steel Dynamics and Alliance Recovery
Can any of the company-specific risk be diversified away by investing in both Steel Dynamics and Alliance Recovery 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 Steel Dynamics and Alliance Recovery into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Steel Dynamics and Alliance Recovery, you can compare the effects of market volatilities on Steel Dynamics and Alliance Recovery 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 Steel Dynamics with a short position of Alliance Recovery. Check out your portfolio center. Please also check ongoing floating volatility patterns of Steel Dynamics and Alliance Recovery.
Diversification Opportunities for Steel Dynamics and Alliance Recovery
0.19 | Correlation Coefficient |
Average diversification
The 3 months correlation between Steel and Alliance is 0.19. Overlapping area represents the amount of risk that can be diversified away by holding Steel Dynamics and Alliance Recovery in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Alliance Recovery and Steel Dynamics 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 Steel Dynamics are associated (or correlated) with Alliance Recovery. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Alliance Recovery has no effect on the direction of Steel Dynamics i.e., Steel Dynamics and Alliance Recovery go up and down completely randomly.
Pair Corralation between Steel Dynamics and Alliance Recovery
Given the investment horizon of 90 days Steel Dynamics is expected to generate 4.63 times less return on investment than Alliance Recovery. But when comparing it to its historical volatility, Steel Dynamics is 4.91 times less risky than Alliance Recovery. It trades about 0.08 of its potential returns per unit of risk. Alliance Recovery is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 0.21 in Alliance Recovery on December 29, 2024 and sell it today you would earn a total of 0.06 from holding Alliance Recovery or generate 28.57% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 95.31% |
Values | Daily Returns |
Steel Dynamics vs. Alliance Recovery
Performance |
Timeline |
Steel Dynamics |
Alliance Recovery |
Steel Dynamics and Alliance Recovery Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Steel Dynamics and Alliance Recovery
The main advantage of trading using opposite Steel Dynamics and Alliance Recovery positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Steel Dynamics position performs unexpectedly, Alliance Recovery 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 Alliance Recovery will offset losses from the drop in Alliance Recovery's long position.Steel Dynamics vs. Cleveland Cliffs | Steel Dynamics vs. United States Steel | Steel Dynamics vs. ArcelorMittal SA ADR | Steel Dynamics vs. Reliance Steel Aluminum |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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