Correlation Between Austevoll Seafood and Nordic Aqua
Can any of the company-specific risk be diversified away by investing in both Austevoll Seafood and Nordic Aqua 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 Nordic Aqua 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 Nordic Aqua Partners, you can compare the effects of market volatilities on Austevoll Seafood and Nordic Aqua 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 Nordic Aqua. Check out your portfolio center. Please also check ongoing floating volatility patterns of Austevoll Seafood and Nordic Aqua.
Diversification Opportunities for Austevoll Seafood and Nordic Aqua
-0.01 | Correlation Coefficient |
Good diversification
The 3 months correlation between Austevoll and Nordic is -0.01. Overlapping area represents the amount of risk that can be diversified away by holding Austevoll Seafood ASA and Nordic Aqua Partners in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nordic Aqua Partners 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 Nordic Aqua. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Nordic Aqua Partners has no effect on the direction of Austevoll Seafood i.e., Austevoll Seafood and Nordic Aqua go up and down completely randomly.
Pair Corralation between Austevoll Seafood and Nordic Aqua
Assuming the 90 days trading horizon Austevoll Seafood is expected to generate 22.61 times less return on investment than Nordic Aqua. But when comparing it to its historical volatility, Austevoll Seafood ASA is 1.52 times less risky than Nordic Aqua. It trades about 0.01 of its potential returns per unit of risk. Nordic Aqua Partners is currently generating about 0.11 of returns per unit of risk over similar time horizon. If you would invest 7,400 in Nordic Aqua Partners on December 29, 2024 and sell it today you would earn a total of 1,100 from holding Nordic Aqua Partners or generate 14.86% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Austevoll Seafood ASA vs. Nordic Aqua Partners
Performance |
Timeline |
Austevoll Seafood ASA |
Nordic Aqua Partners |
Austevoll Seafood and Nordic Aqua Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Austevoll Seafood and Nordic Aqua
The main advantage of trading using opposite Austevoll Seafood and Nordic Aqua positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Austevoll Seafood position performs unexpectedly, Nordic Aqua 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 Nordic Aqua will offset losses from the drop in Nordic Aqua's long position.Austevoll Seafood vs. Telenor ASA | Austevoll Seafood vs. DnB ASA | Austevoll Seafood vs. Yara International ASA | Austevoll Seafood vs. Storebrand 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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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