Correlation Between Olympic Steel and Steel Dynamics
Can any of the company-specific risk be diversified away by investing in both Olympic Steel and Steel Dynamics 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 Olympic Steel and Steel Dynamics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Olympic Steel and Steel Dynamics, you can compare the effects of market volatilities on Olympic Steel and Steel Dynamics 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 Olympic Steel with a short position of Steel Dynamics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Olympic Steel and Steel Dynamics.
Diversification Opportunities for Olympic Steel and Steel Dynamics
0.37 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Olympic and Steel is 0.37. Overlapping area represents the amount of risk that can be diversified away by holding Olympic Steel and Steel Dynamics in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Steel Dynamics and Olympic 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 Olympic Steel are associated (or correlated) with Steel Dynamics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Steel Dynamics has no effect on the direction of Olympic Steel i.e., Olympic Steel and Steel Dynamics go up and down completely randomly.
Pair Corralation between Olympic Steel and Steel Dynamics
Given the investment horizon of 90 days Olympic Steel is expected to generate 1.03 times more return on investment than Steel Dynamics. However, Olympic Steel is 1.03 times more volatile than Steel Dynamics. It trades about 0.17 of its potential returns per unit of risk. Steel Dynamics is currently generating about 0.17 per unit of risk. If you would invest 3,653 in Olympic Steel on August 24, 2024 and sell it today you would earn a total of 478.50 from holding Olympic Steel or generate 13.1% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Olympic Steel vs. Steel Dynamics
Performance |
Timeline |
Olympic Steel |
Steel Dynamics |
Olympic Steel and Steel Dynamics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Olympic Steel and Steel Dynamics
The main advantage of trading using opposite Olympic Steel and Steel Dynamics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Olympic Steel position performs unexpectedly, Steel Dynamics 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 Steel Dynamics will offset losses from the drop in Steel Dynamics' long position.Olympic Steel vs. Universal Stainless Alloy | Olympic Steel vs. Outokumpu Oyj ADR | Olympic Steel vs. Usinas Siderurgicas de | Olympic Steel vs. POSCO Holdings |
Steel Dynamics vs. Cleveland Cliffs | Steel Dynamics vs. United States Steel | Steel Dynamics vs. Reliance Steel Aluminum | Steel Dynamics vs. Nucor Corp |
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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