Correlation Between Equinor ASA and Integrated Wind
Can any of the company-specific risk be diversified away by investing in both Equinor ASA and Integrated Wind 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 Equinor ASA and Integrated Wind into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Equinor ASA and Integrated Wind Solutions, you can compare the effects of market volatilities on Equinor ASA and Integrated Wind 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 Equinor ASA with a short position of Integrated Wind. Check out your portfolio center. Please also check ongoing floating volatility patterns of Equinor ASA and Integrated Wind.
Diversification Opportunities for Equinor ASA and Integrated Wind
-0.09 | Correlation Coefficient |
Good diversification
The 3 months correlation between Equinor and Integrated is -0.09. Overlapping area represents the amount of risk that can be diversified away by holding Equinor ASA and Integrated Wind Solutions in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Integrated Wind Solutions and Equinor ASA 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 Equinor ASA are associated (or correlated) with Integrated Wind. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Integrated Wind Solutions has no effect on the direction of Equinor ASA i.e., Equinor ASA and Integrated Wind go up and down completely randomly.
Pair Corralation between Equinor ASA and Integrated Wind
Assuming the 90 days trading horizon Equinor ASA is expected to generate 0.82 times more return on investment than Integrated Wind. However, Equinor ASA is 1.22 times less risky than Integrated Wind. It trades about 0.01 of its potential returns per unit of risk. Integrated Wind Solutions is currently generating about -0.02 per unit of risk. If you would invest 26,657 in Equinor ASA on September 4, 2024 and sell it today you would earn a total of 153.00 from holding Equinor ASA or generate 0.57% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Equinor ASA vs. Integrated Wind Solutions
Performance |
Timeline |
Equinor ASA |
Integrated Wind Solutions |
Equinor ASA and Integrated Wind Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Equinor ASA and Integrated Wind
The main advantage of trading using opposite Equinor ASA and Integrated Wind positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Equinor ASA position performs unexpectedly, Integrated Wind 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 Integrated Wind will offset losses from the drop in Integrated Wind's long position.Equinor ASA vs. DnB ASA | Equinor ASA vs. Mowi ASA | Equinor ASA vs. Yara International ASA | Equinor ASA vs. Telenor ASA |
Integrated Wind vs. Edda Wind ASA | Integrated Wind vs. Cloudberry Clean Energy | Integrated Wind vs. Cadeler As | Integrated Wind vs. Otovo AS |
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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