Correlation Between Maanshan Iron and Global Ship
Can any of the company-specific risk be diversified away by investing in both Maanshan Iron and Global Ship 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 Maanshan Iron and Global Ship into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Maanshan Iron Steel and Global Ship Lease, you can compare the effects of market volatilities on Maanshan Iron and Global Ship 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 Maanshan Iron with a short position of Global Ship. Check out your portfolio center. Please also check ongoing floating volatility patterns of Maanshan Iron and Global Ship.
Diversification Opportunities for Maanshan Iron and Global Ship
0.06 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Maanshan and Global is 0.06. Overlapping area represents the amount of risk that can be diversified away by holding Maanshan Iron Steel and Global Ship Lease in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Global Ship Lease and Maanshan Iron 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 Maanshan Iron Steel are associated (or correlated) with Global Ship. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Global Ship Lease has no effect on the direction of Maanshan Iron i.e., Maanshan Iron and Global Ship go up and down completely randomly.
Pair Corralation between Maanshan Iron and Global Ship
Assuming the 90 days horizon Maanshan Iron Steel is expected to under-perform the Global Ship. In addition to that, Maanshan Iron is 6.5 times more volatile than Global Ship Lease. It trades about -0.21 of its total potential returns per unit of risk. Global Ship Lease is currently generating about -0.05 per unit of volatility. If you would invest 2,640 in Global Ship Lease on August 31, 2024 and sell it today you would lose (20.00) from holding Global Ship Lease or give up 0.76% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Maanshan Iron Steel vs. Global Ship Lease
Performance |
| Timeline |
| Maanshan Iron Steel |
| Global Ship Lease |
Maanshan Iron and Global Ship Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Maanshan Iron and Global Ship
The main advantage of trading using opposite Maanshan Iron and Global Ship positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Maanshan Iron position performs unexpectedly, Global Ship 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 Global Ship will offset losses from the drop in Global Ship's long position.| Maanshan Iron vs. Olympic Steel | Maanshan Iron vs. POSCO Holdings | Maanshan Iron vs. Steel Dynamics | Maanshan Iron vs. Universal Stainless Alloy |
| Global Ship vs. Safe Bulkers | Global Ship vs. Diana Shipping | Global Ship vs. Costamare | Global Ship vs. Safe Bulkers |
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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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