Correlation Between Solstad Offshore and Domino’s Pizza
Can any of the company-specific risk be diversified away by investing in both Solstad Offshore and Domino’s Pizza 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 Domino’s Pizza 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 Dominos Pizza Group, you can compare the effects of market volatilities on Solstad Offshore and Domino’s Pizza 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 Domino’s Pizza. Check out your portfolio center. Please also check ongoing floating volatility patterns of Solstad Offshore and Domino’s Pizza.
Diversification Opportunities for Solstad Offshore and Domino’s Pizza
0.11 | Correlation Coefficient |
Average diversification
The 3 months correlation between Solstad and Domino’s is 0.11. Overlapping area represents the amount of risk that can be diversified away by holding Solstad Offshore ASA and Dominos Pizza Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dominos Pizza Group 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 Domino’s Pizza. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dominos Pizza Group has no effect on the direction of Solstad Offshore i.e., Solstad Offshore and Domino’s Pizza go up and down completely randomly.
Pair Corralation between Solstad Offshore and Domino’s Pizza
Assuming the 90 days trading horizon Solstad Offshore ASA is expected to generate 1.08 times more return on investment than Domino’s Pizza. However, Solstad Offshore is 1.08 times more volatile than Dominos Pizza Group. It trades about -0.04 of its potential returns per unit of risk. Dominos Pizza Group is currently generating about -0.07 per unit of risk. If you would invest 3,922 in Solstad Offshore ASA on December 24, 2024 and sell it today you would lose (200.00) from holding Solstad Offshore ASA or give up 5.1% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 98.39% |
Values | Daily Returns |
Solstad Offshore ASA vs. Dominos Pizza Group
Performance |
Timeline |
Solstad Offshore ASA |
Dominos Pizza Group |
Solstad Offshore and Domino’s Pizza Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Solstad Offshore and Domino’s Pizza
The main advantage of trading using opposite Solstad Offshore and Domino’s Pizza positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Solstad Offshore position performs unexpectedly, Domino’s Pizza 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 Domino’s Pizza will offset losses from the drop in Domino’s Pizza's long position.Solstad Offshore vs. HCA Healthcare | Solstad Offshore vs. Adriatic Metals | Solstad Offshore vs. PureTech Health plc | Solstad Offshore vs. Bellevue Healthcare Trust |
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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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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