Correlation Between Lery Seafood and SoftwareOne Holding
Can any of the company-specific risk be diversified away by investing in both Lery Seafood and SoftwareOne Holding 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 SoftwareOne Holding 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 SoftwareOne Holding, you can compare the effects of market volatilities on Lery Seafood and SoftwareOne Holding 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 SoftwareOne Holding. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lery Seafood and SoftwareOne Holding.
Diversification Opportunities for Lery Seafood and SoftwareOne Holding
0.46 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Lery and SoftwareOne is 0.46. Overlapping area represents the amount of risk that can be diversified away by holding Lery Seafood Group and SoftwareOne Holding in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SoftwareOne Holding 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 SoftwareOne Holding. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SoftwareOne Holding has no effect on the direction of Lery Seafood i.e., Lery Seafood and SoftwareOne Holding go up and down completely randomly.
Pair Corralation between Lery Seafood and SoftwareOne Holding
Assuming the 90 days trading horizon Lery Seafood Group is expected to generate 0.49 times more return on investment than SoftwareOne Holding. However, Lery Seafood Group is 2.02 times less risky than SoftwareOne Holding. It trades about 0.08 of its potential returns per unit of risk. SoftwareOne Holding is currently generating about -0.12 per unit of risk. If you would invest 4,406 in Lery Seafood Group on April 23, 2025 and sell it today you would earn a total of 308.00 from holding Lery Seafood Group or generate 6.99% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 21.31% |
Values | Daily Returns |
Lery Seafood Group vs. SoftwareOne Holding
Performance |
Timeline |
Lery Seafood Group |
SoftwareOne Holding |
Lery Seafood and SoftwareOne Holding Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lery Seafood and SoftwareOne Holding
The main advantage of trading using opposite Lery Seafood and SoftwareOne Holding positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lery Seafood position performs unexpectedly, SoftwareOne Holding 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 SoftwareOne Holding will offset losses from the drop in SoftwareOne Holding'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 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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