Correlation Between London Security and Austevoll Seafood
Can any of the company-specific risk be diversified away by investing in both London Security and Austevoll Seafood 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 London Security and Austevoll Seafood into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between London Security Plc and Austevoll Seafood ASA, you can compare the effects of market volatilities on London Security and Austevoll Seafood 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 London Security with a short position of Austevoll Seafood. Check out your portfolio center. Please also check ongoing floating volatility patterns of London Security and Austevoll Seafood.
Diversification Opportunities for London Security and Austevoll Seafood
-0.48 | Correlation Coefficient |
Very good diversification
The 3 months correlation between London and Austevoll is -0.48. Overlapping area represents the amount of risk that can be diversified away by holding London Security Plc and Austevoll Seafood ASA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Austevoll Seafood ASA and London Security 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 London Security Plc are associated (or correlated) with Austevoll Seafood. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Austevoll Seafood ASA has no effect on the direction of London Security i.e., London Security and Austevoll Seafood go up and down completely randomly.
Pair Corralation between London Security and Austevoll Seafood
Assuming the 90 days trading horizon London Security Plc is expected to generate 1.03 times more return on investment than Austevoll Seafood. However, London Security is 1.03 times more volatile than Austevoll Seafood ASA. It trades about 0.08 of its potential returns per unit of risk. Austevoll Seafood ASA is currently generating about 0.07 per unit of risk. If you would invest 298,315 in London Security Plc on September 23, 2024 and sell it today you would earn a total of 41,685 from holding London Security Plc or generate 13.97% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
London Security Plc vs. Austevoll Seafood ASA
Performance |
Timeline |
London Security Plc |
Austevoll Seafood ASA |
London Security and Austevoll Seafood Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with London Security and Austevoll Seafood
The main advantage of trading using opposite London Security and Austevoll Seafood positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if London Security position performs unexpectedly, Austevoll Seafood 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 Austevoll Seafood will offset losses from the drop in Austevoll Seafood's long position.London Security vs. Samsung Electronics Co | London Security vs. Samsung Electronics Co | London Security vs. Hyundai Motor | London Security vs. Toyota Motor Corp |
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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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