Correlation Between Lery Seafood and SCIENCE IN
Can any of the company-specific risk be diversified away by investing in both Lery Seafood and SCIENCE IN 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 SCIENCE IN 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 SCIENCE IN SPORT, you can compare the effects of market volatilities on Lery Seafood and SCIENCE IN 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 SCIENCE IN. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lery Seafood and SCIENCE IN.
Diversification Opportunities for Lery Seafood and SCIENCE IN
0.34 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Lery and SCIENCE is 0.34. Overlapping area represents the amount of risk that can be diversified away by holding Lery Seafood Group and SCIENCE IN SPORT in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SCIENCE IN SPORT 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 SCIENCE IN. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SCIENCE IN SPORT has no effect on the direction of Lery Seafood i.e., Lery Seafood and SCIENCE IN go up and down completely randomly.
Pair Corralation between Lery Seafood and SCIENCE IN
Assuming the 90 days trading horizon Lery Seafood is expected to generate 3.2 times less return on investment than SCIENCE IN. But when comparing it to its historical volatility, Lery Seafood Group is 1.92 times less risky than SCIENCE IN. It trades about 0.06 of its potential returns per unit of risk. SCIENCE IN SPORT is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest 20.00 in SCIENCE IN SPORT on September 25, 2024 and sell it today you would earn a total of 9.00 from holding SCIENCE IN SPORT or generate 45.0% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Lery Seafood Group vs. SCIENCE IN SPORT
Performance |
| Timeline |
| Lery Seafood Group |
| SCIENCE IN SPORT |
Lery Seafood and SCIENCE IN Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Lery Seafood and SCIENCE IN
The main advantage of trading using opposite Lery Seafood and SCIENCE IN positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lery Seafood position performs unexpectedly, SCIENCE IN 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 SCIENCE IN will offset losses from the drop in SCIENCE IN'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 |
| SCIENCE IN vs. Mowi ASA | SCIENCE IN vs. LEROY SEAFOOD GRUNSPADR | SCIENCE IN vs. Lery Seafood Group | SCIENCE IN vs. Nisshin Seifun Group |
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 Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.
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