Correlation Between Lery Seafood and Helgeland Sparebank
Can any of the company-specific risk be diversified away by investing in both Lery Seafood and Helgeland 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 Lery Seafood and Helgeland Sparebank 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 Helgeland Sparebank, you can compare the effects of market volatilities on Lery Seafood and Helgeland 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 Lery Seafood with a short position of Helgeland Sparebank. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lery Seafood and Helgeland Sparebank.
Diversification Opportunities for Lery Seafood and Helgeland Sparebank
0.7 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Lery and Helgeland is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding Lery Seafood Group and Helgeland Sparebank in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Helgeland Sparebank 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 Helgeland Sparebank. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Helgeland Sparebank has no effect on the direction of Lery Seafood i.e., Lery Seafood and Helgeland Sparebank go up and down completely randomly.
Pair Corralation between Lery Seafood and Helgeland Sparebank
Assuming the 90 days trading horizon Lery Seafood is expected to generate 2.67 times less return on investment than Helgeland Sparebank. But when comparing it to its historical volatility, Lery Seafood Group is 1.09 times less risky than Helgeland Sparebank. It trades about 0.05 of its potential returns per unit of risk. Helgeland Sparebank is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 14,060 in Helgeland Sparebank on December 3, 2024 and sell it today you would earn a total of 1,652 from holding Helgeland Sparebank or generate 11.75% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Lery Seafood Group vs. Helgeland Sparebank
Performance |
Timeline |
Lery Seafood Group |
Helgeland Sparebank |
Lery Seafood and Helgeland Sparebank Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lery Seafood and Helgeland Sparebank
The main advantage of trading using opposite Lery Seafood and Helgeland Sparebank positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lery Seafood position performs unexpectedly, Helgeland 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 Helgeland Sparebank will offset losses from the drop in Helgeland Sparebank'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 |
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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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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