Correlation Between United States and BlueScope Steel
Can any of the company-specific risk be diversified away by investing in both United States and BlueScope Steel 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 United States and BlueScope Steel into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between United States Steel and BlueScope Steel Limited, you can compare the effects of market volatilities on United States and BlueScope Steel 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 United States with a short position of BlueScope Steel. Check out your portfolio center. Please also check ongoing floating volatility patterns of United States and BlueScope Steel.
Diversification Opportunities for United States and BlueScope Steel
0.4 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between United and BlueScope is 0.4. Overlapping area represents the amount of risk that can be diversified away by holding United States Steel and BlueScope Steel Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BlueScope Steel and United States 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 United States Steel are associated (or correlated) with BlueScope Steel. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BlueScope Steel has no effect on the direction of United States i.e., United States and BlueScope Steel go up and down completely randomly.
Pair Corralation between United States and BlueScope Steel
Assuming the 90 days trading horizon United States Steel is expected to generate 1.44 times more return on investment than BlueScope Steel. However, United States is 1.44 times more volatile than BlueScope Steel Limited. It trades about 0.07 of its potential returns per unit of risk. BlueScope Steel Limited is currently generating about 0.08 per unit of risk. If you would invest 3,391 in United States Steel on August 31, 2024 and sell it today you would earn a total of 411.00 from holding United States Steel or generate 12.12% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
United States Steel vs. BlueScope Steel Limited
Performance |
Timeline |
United States Steel |
BlueScope Steel |
United States and BlueScope Steel Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with United States and BlueScope Steel
The main advantage of trading using opposite United States and BlueScope Steel positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if United States position performs unexpectedly, BlueScope Steel 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 BlueScope Steel will offset losses from the drop in BlueScope Steel's long position.United States vs. Canadian Utilities Limited | United States vs. Digilife Technologies Limited | United States vs. Eidesvik Offshore ASA | United States vs. BW OFFSHORE LTD |
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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 Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.
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