Correlation Between Solstad Offshore and AMG Advanced
Can any of the company-specific risk be diversified away by investing in both Solstad Offshore and AMG Advanced 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 Solstad Offshore and AMG Advanced into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Solstad Offshore ASA and AMG Advanced Metallurgical, you can compare the effects of market volatilities on Solstad Offshore and AMG Advanced 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 Solstad Offshore with a short position of AMG Advanced. Check out your portfolio center. Please also check ongoing floating volatility patterns of Solstad Offshore and AMG Advanced.
Diversification Opportunities for Solstad Offshore and AMG Advanced
-0.42 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Solstad and AMG is -0.42. Overlapping area represents the amount of risk that can be diversified away by holding Solstad Offshore ASA and AMG Advanced Metallurgical in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on AMG Advanced Metallu and Solstad Offshore 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 Solstad Offshore ASA are associated (or correlated) with AMG Advanced. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of AMG Advanced Metallu has no effect on the direction of Solstad Offshore i.e., Solstad Offshore and AMG Advanced go up and down completely randomly.
Pair Corralation between Solstad Offshore and AMG Advanced
Assuming the 90 days trading horizon Solstad Offshore ASA is expected to generate 1.53 times more return on investment than AMG Advanced. However, Solstad Offshore is 1.53 times more volatile than AMG Advanced Metallurgical. It trades about 0.09 of its potential returns per unit of risk. AMG Advanced Metallurgical is currently generating about 0.04 per unit of risk. If you would invest 3,428 in Solstad Offshore ASA on September 4, 2024 and sell it today you would earn a total of 692.00 from holding Solstad Offshore ASA or generate 20.19% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 96.92% |
Values | Daily Returns |
Solstad Offshore ASA vs. AMG Advanced Metallurgical
Performance |
Timeline |
Solstad Offshore ASA |
AMG Advanced Metallu |
Solstad Offshore and AMG Advanced Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Solstad Offshore and AMG Advanced
The main advantage of trading using opposite Solstad Offshore and AMG Advanced positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Solstad Offshore position performs unexpectedly, AMG Advanced 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 AMG Advanced will offset losses from the drop in AMG Advanced's long position.Solstad Offshore vs. Raytheon Technologies Corp | Solstad Offshore vs. Ashtead Technology Holdings | Solstad Offshore vs. Albion Technology General | Solstad Offshore vs. AcadeMedia 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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