Correlation Between Lery Seafood and Flowers Foods
Can any of the company-specific risk be diversified away by investing in both Lery Seafood and Flowers Foods 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 Flowers Foods 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 Flowers Foods, you can compare the effects of market volatilities on Lery Seafood and Flowers Foods 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 Flowers Foods. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lery Seafood and Flowers Foods.
Diversification Opportunities for Lery Seafood and Flowers Foods
0.42 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Lery and Flowers is 0.42. Overlapping area represents the amount of risk that can be diversified away by holding Lery Seafood Group and Flowers Foods in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Flowers Foods 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 Flowers Foods. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Flowers Foods has no effect on the direction of Lery Seafood i.e., Lery Seafood and Flowers Foods go up and down completely randomly.
Pair Corralation between Lery Seafood and Flowers Foods
Assuming the 90 days trading horizon Lery Seafood Group is expected to generate 1.4 times more return on investment than Flowers Foods. However, Lery Seafood is 1.4 times more volatile than Flowers Foods. It trades about 0.0 of its potential returns per unit of risk. Flowers Foods is currently generating about -0.03 per unit of risk. If you would invest 5,076 in Lery Seafood Group on September 28, 2024 and sell it today you would lose (212.00) from holding Lery Seafood Group or give up 4.18% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 98.41% |
Values | Daily Returns |
Lery Seafood Group vs. Flowers Foods
Performance |
Timeline |
Lery Seafood Group |
Flowers Foods |
Lery Seafood and Flowers Foods Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lery Seafood and Flowers Foods
The main advantage of trading using opposite Lery Seafood and Flowers Foods positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lery Seafood position performs unexpectedly, Flowers Foods 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 Flowers Foods will offset losses from the drop in Flowers Foods' long position.Lery Seafood vs. SalMar ASA | Lery Seafood vs. Grieg Seafood ASA | Lery Seafood vs. Austevoll Seafood ASA | Lery Seafood vs. Mowi ASA |
Flowers Foods vs. Mowi ASA | Flowers Foods vs. LEROY SEAFOOD GRUNSPADR | Flowers Foods vs. Lery Seafood Group | Flowers Foods 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 Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.
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