Correlation Between Austevoll Seafood and Flowers Foods
Can any of the company-specific risk be diversified away by investing in both Austevoll 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 Austevoll 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 Austevoll Seafood ASA and Flowers Foods, you can compare the effects of market volatilities on Austevoll 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 Austevoll Seafood with a short position of Flowers Foods. Check out your portfolio center. Please also check ongoing floating volatility patterns of Austevoll Seafood and Flowers Foods.
Diversification Opportunities for Austevoll Seafood and Flowers Foods
0.56 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Austevoll and Flowers is 0.56. Overlapping area represents the amount of risk that can be diversified away by holding Austevoll Seafood ASA and Flowers Foods in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Flowers Foods and Austevoll 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 Austevoll Seafood ASA 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 Austevoll Seafood i.e., Austevoll Seafood and Flowers Foods go up and down completely randomly.
Pair Corralation between Austevoll Seafood and Flowers Foods
Assuming the 90 days horizon Austevoll Seafood ASA is expected to generate 1.52 times more return on investment than Flowers Foods. However, Austevoll Seafood is 1.52 times more volatile than Flowers Foods. It trades about 0.01 of its potential returns per unit of risk. Flowers Foods is currently generating about -0.06 per unit of risk. If you would invest 845.00 in Austevoll Seafood ASA on October 10, 2024 and sell it today you would lose (2.00) from holding Austevoll Seafood ASA or give up 0.24% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Austevoll Seafood ASA vs. Flowers Foods
Performance |
Timeline |
Austevoll Seafood ASA |
Flowers Foods |
Austevoll Seafood and Flowers Foods Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Austevoll Seafood and Flowers Foods
The main advantage of trading using opposite Austevoll Seafood and Flowers Foods positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Austevoll 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.Austevoll Seafood vs. Gruppo Mutuionline SpA | Austevoll Seafood vs. YATRA ONLINE DL 0001 | Austevoll Seafood vs. BOS BETTER ONLINE | Austevoll Seafood vs. ENVVENO MEDICAL DL 00001 |
Flowers Foods vs. PLAYTIKA HOLDING DL 01 | Flowers Foods vs. RETAIL FOOD GROUP | Flowers Foods vs. BJs Wholesale Club | Flowers Foods vs. VIAPLAY GROUP AB |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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