Correlation Between Steel Dynamics and GSRX Industries
Can any of the company-specific risk be diversified away by investing in both Steel Dynamics and GSRX Industries 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 GSRX Industries into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Steel Dynamics and GSRX Industries, you can compare the effects of market volatilities on Steel Dynamics and GSRX Industries 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 GSRX Industries. Check out your portfolio center. Please also check ongoing floating volatility patterns of Steel Dynamics and GSRX Industries.
Diversification Opportunities for Steel Dynamics and GSRX Industries
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Steel and GSRX is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Steel Dynamics and GSRX Industries in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on GSRX Industries 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 GSRX Industries. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of GSRX Industries has no effect on the direction of Steel Dynamics i.e., Steel Dynamics and GSRX Industries go up and down completely randomly.
Pair Corralation between Steel Dynamics and GSRX Industries
Given the investment horizon of 90 days Steel Dynamics is expected to generate 0.33 times more return on investment than GSRX Industries. However, Steel Dynamics is 3.05 times less risky than GSRX Industries. It trades about 0.04 of its potential returns per unit of risk. GSRX Industries is currently generating about -0.01 per unit of risk. If you would invest 9,810 in Steel Dynamics on September 6, 2024 and sell it today you would earn a total of 4,328 from holding Steel Dynamics or generate 44.12% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Flat |
Strength | Insignificant |
Accuracy | 99.8% |
Values | Daily Returns |
Steel Dynamics vs. GSRX Industries
Performance |
Timeline |
Steel Dynamics |
GSRX Industries |
Steel Dynamics and GSRX Industries Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Steel Dynamics and GSRX Industries
The main advantage of trading using opposite Steel Dynamics and GSRX Industries positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Steel Dynamics position performs unexpectedly, GSRX Industries 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 GSRX Industries will offset losses from the drop in GSRX Industries' 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 |
GSRX Industries vs. Cronos Group | GSRX Industries vs. Aurora Cannabis | GSRX Industries vs. Canopy Growth Corp | GSRX Industries vs. Curaleaf Holdings |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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