Correlation Between Dno ASA and Akastor ASA
Can any of the company-specific risk be diversified away by investing in both Dno ASA and Akastor ASA 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 Dno ASA and Akastor ASA into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dno ASA and Akastor ASA, you can compare the effects of market volatilities on Dno ASA and Akastor ASA 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 Dno ASA with a short position of Akastor ASA. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dno ASA and Akastor ASA.
Diversification Opportunities for Dno ASA and Akastor ASA
0.53 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Dno and Akastor is 0.53. Overlapping area represents the amount of risk that can be diversified away by holding Dno ASA and Akastor ASA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Akastor ASA and Dno 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 Dno ASA are associated (or correlated) with Akastor ASA. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Akastor ASA has no effect on the direction of Dno ASA i.e., Dno ASA and Akastor ASA go up and down completely randomly.
Pair Corralation between Dno ASA and Akastor ASA
Assuming the 90 days trading horizon Dno ASA is expected to generate 1.56 times more return on investment than Akastor ASA. However, Dno ASA is 1.56 times more volatile than Akastor ASA. It trades about 0.14 of its potential returns per unit of risk. Akastor ASA is currently generating about 0.09 per unit of risk. If you would invest 1,151 in Dno ASA on April 24, 2025 and sell it today you would earn a total of 246.00 from holding Dno ASA or generate 21.37% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Dno ASA vs. Akastor ASA
Performance |
Timeline |
Dno ASA |
Akastor ASA |
Dno ASA and Akastor ASA Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dno ASA and Akastor ASA
The main advantage of trading using opposite Dno ASA and Akastor ASA positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dno ASA position performs unexpectedly, Akastor ASA 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 Akastor ASA will offset losses from the drop in Akastor ASA's long position.The idea behind Dno ASA and Akastor ASA pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Akastor ASA vs. Aker Solutions ASA | Akastor ASA vs. Aker BP ASA | Akastor ASA vs. Odfjell Drilling | Akastor ASA vs. Eidesvik Offshore ASA |
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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