Correlation Between Lery Seafood and Norwegian Air
Can any of the company-specific risk be diversified away by investing in both Lery Seafood and Norwegian Air 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 Lery Seafood and Norwegian Air into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lery Seafood Group and Norwegian Air Shuttle, you can compare the effects of market volatilities on Lery Seafood and Norwegian Air 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 Lery Seafood with a short position of Norwegian Air. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lery Seafood and Norwegian Air.
Diversification Opportunities for Lery Seafood and Norwegian Air
-0.31 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Lery and Norwegian is -0.31. Overlapping area represents the amount of risk that can be diversified away by holding Lery Seafood Group and Norwegian Air Shuttle in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Norwegian Air Shuttle and Lery 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 Lery Seafood Group are associated (or correlated) with Norwegian Air. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Norwegian Air Shuttle has no effect on the direction of Lery Seafood i.e., Lery Seafood and Norwegian Air go up and down completely randomly.
Pair Corralation between Lery Seafood and Norwegian Air
Assuming the 90 days trading horizon Lery Seafood Group is expected to generate 0.44 times more return on investment than Norwegian Air. However, Lery Seafood Group is 2.28 times less risky than Norwegian Air. It trades about 0.08 of its potential returns per unit of risk. Norwegian Air Shuttle is currently generating about 0.03 per unit of risk. If you would invest 4,862 in Lery Seafood Group on September 12, 2024 and sell it today you would earn a total of 353.00 from holding Lery Seafood Group or generate 7.26% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Lery Seafood Group vs. Norwegian Air Shuttle
Performance |
Timeline |
Lery Seafood Group |
Norwegian Air Shuttle |
Lery Seafood and Norwegian Air Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lery Seafood and Norwegian Air
The main advantage of trading using opposite Lery Seafood and Norwegian Air positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lery Seafood position performs unexpectedly, Norwegian Air 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 Norwegian Air will offset losses from the drop in Norwegian Air's long position.Lery Seafood vs. SalMar ASA | Lery Seafood vs. Grieg Seafood ASA | Lery Seafood vs. Austevoll Seafood ASA | Lery Seafood vs. Mowi ASA |
Norwegian Air vs. Danske Bank AS | Norwegian Air vs. Kongsberg Automotive Holding | Norwegian Air vs. Kongsberg Gruppen ASA | Norwegian Air vs. Napatech AS |
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 Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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