Correlation Between Austevoll Seafood and SENECA FOODS-A
Can any of the company-specific risk be diversified away by investing in both Austevoll Seafood and SENECA FOODS-A 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 SENECA FOODS-A 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 SENECA FOODS A, you can compare the effects of market volatilities on Austevoll Seafood and SENECA FOODS-A 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 SENECA FOODS-A. Check out your portfolio center. Please also check ongoing floating volatility patterns of Austevoll Seafood and SENECA FOODS-A.
Diversification Opportunities for Austevoll Seafood and SENECA FOODS-A
0.42 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Austevoll and SENECA is 0.42. Overlapping area represents the amount of risk that can be diversified away by holding Austevoll Seafood ASA and SENECA FOODS A in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SENECA FOODS A 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 SENECA FOODS-A. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SENECA FOODS A has no effect on the direction of Austevoll Seafood i.e., Austevoll Seafood and SENECA FOODS-A go up and down completely randomly.
Pair Corralation between Austevoll Seafood and SENECA FOODS-A
Assuming the 90 days horizon Austevoll Seafood is expected to generate 4.18 times less return on investment than SENECA FOODS-A. But when comparing it to its historical volatility, Austevoll Seafood ASA is 1.43 times less risky than SENECA FOODS-A. It trades about 0.12 of its potential returns per unit of risk. SENECA FOODS A is currently generating about 0.34 of returns per unit of risk over similar time horizon. If you would invest 5,550 in SENECA FOODS A on August 28, 2024 and sell it today you would earn a total of 1,200 from holding SENECA FOODS A or generate 21.62% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 95.45% |
Values | Daily Returns |
Austevoll Seafood ASA vs. SENECA FOODS A
Performance |
Timeline |
Austevoll Seafood ASA |
SENECA FOODS A |
Austevoll Seafood and SENECA FOODS-A Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Austevoll Seafood and SENECA FOODS-A
The main advantage of trading using opposite Austevoll Seafood and SENECA FOODS-A positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Austevoll Seafood position performs unexpectedly, SENECA FOODS-A 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 SENECA FOODS-A will offset losses from the drop in SENECA FOODS-A's long position.Austevoll Seafood vs. Superior Plus Corp | Austevoll Seafood vs. NMI Holdings | Austevoll Seafood vs. Origin Agritech | Austevoll Seafood vs. SIVERS SEMICONDUCTORS AB |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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