Correlation Between Shelf Drilling and Northern Ocean
Can any of the company-specific risk be diversified away by investing in both Shelf Drilling and Northern Ocean 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 Shelf Drilling and Northern Ocean into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Shelf Drilling and Northern Ocean, you can compare the effects of market volatilities on Shelf Drilling and Northern Ocean 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 Shelf Drilling with a short position of Northern Ocean. Check out your portfolio center. Please also check ongoing floating volatility patterns of Shelf Drilling and Northern Ocean.
Diversification Opportunities for Shelf Drilling and Northern Ocean
-0.82 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Shelf and Northern is -0.82. Overlapping area represents the amount of risk that can be diversified away by holding Shelf Drilling and Northern Ocean in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Northern Ocean and Shelf Drilling 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 Shelf Drilling are associated (or correlated) with Northern Ocean. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Northern Ocean has no effect on the direction of Shelf Drilling i.e., Shelf Drilling and Northern Ocean go up and down completely randomly.
Pair Corralation between Shelf Drilling and Northern Ocean
Assuming the 90 days trading horizon Shelf Drilling is expected to generate 2.4 times more return on investment than Northern Ocean. However, Shelf Drilling is 2.4 times more volatile than Northern Ocean. It trades about -0.07 of its potential returns per unit of risk. Northern Ocean is currently generating about -0.18 per unit of risk. If you would invest 1,020 in Shelf Drilling on September 23, 2024 and sell it today you would lose (113.00) from holding Shelf Drilling or give up 11.08% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Shelf Drilling vs. Northern Ocean
Performance |
Timeline |
Shelf Drilling |
Northern Ocean |
Shelf Drilling and Northern Ocean Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Shelf Drilling and Northern Ocean
The main advantage of trading using opposite Shelf Drilling and Northern Ocean positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Shelf Drilling position performs unexpectedly, Northern Ocean 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 Northern Ocean will offset losses from the drop in Northern Ocean's long position.Shelf Drilling vs. Borr Drilling | Shelf Drilling vs. Odfjell Drilling | Shelf Drilling vs. Northern Ocean | Shelf Drilling vs. Odfjell Technology |
Northern Ocean vs. Borr Drilling | Northern Ocean vs. Odfjell Drilling | Northern Ocean vs. Shelf Drilling | Northern Ocean vs. Odfjell Technology |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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