Correlation Between Grieg Seafood and Romerike Sparebank
Can any of the company-specific risk be diversified away by investing in both Grieg Seafood and Romerike Sparebank 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 Grieg Seafood and Romerike Sparebank into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Grieg Seafood ASA and Romerike Sparebank, you can compare the effects of market volatilities on Grieg Seafood and Romerike Sparebank 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 Grieg Seafood with a short position of Romerike Sparebank. Check out your portfolio center. Please also check ongoing floating volatility patterns of Grieg Seafood and Romerike Sparebank.
Diversification Opportunities for Grieg Seafood and Romerike Sparebank
0.77 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Grieg and Romerike is 0.77. Overlapping area represents the amount of risk that can be diversified away by holding Grieg Seafood ASA and Romerike Sparebank in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Romerike Sparebank and Grieg Seafood 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 Grieg Seafood ASA are associated (or correlated) with Romerike Sparebank. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Romerike Sparebank has no effect on the direction of Grieg Seafood i.e., Grieg Seafood and Romerike Sparebank go up and down completely randomly.
Pair Corralation between Grieg Seafood and Romerike Sparebank
Assuming the 90 days trading horizon Grieg Seafood ASA is expected to generate 2.3 times more return on investment than Romerike Sparebank. However, Grieg Seafood is 2.3 times more volatile than Romerike Sparebank. It trades about 0.16 of its potential returns per unit of risk. Romerike Sparebank is currently generating about 0.13 per unit of risk. If you would invest 5,080 in Grieg Seafood ASA on March 7, 2025 and sell it today you would earn a total of 1,645 from holding Grieg Seafood ASA or generate 32.38% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Grieg Seafood ASA vs. Romerike Sparebank
Performance |
Timeline |
Grieg Seafood ASA |
Romerike Sparebank |
Grieg Seafood and Romerike Sparebank Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Grieg Seafood and Romerike Sparebank
The main advantage of trading using opposite Grieg Seafood and Romerike Sparebank positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Grieg Seafood position performs unexpectedly, Romerike Sparebank 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 Romerike Sparebank will offset losses from the drop in Romerike Sparebank's long position.Grieg Seafood vs. Lery Seafood Group | Grieg Seafood vs. SalMar ASA | Grieg Seafood vs. Austevoll Seafood ASA | Grieg Seafood vs. Mowi ASA |
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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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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