Correlation Between Eidesvik Offshore and Mercedes Benz
Can any of the company-specific risk be diversified away by investing in both Eidesvik Offshore and Mercedes Benz 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 Eidesvik Offshore and Mercedes Benz into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Eidesvik Offshore ASA and Mercedes Benz Group AG, you can compare the effects of market volatilities on Eidesvik Offshore and Mercedes Benz 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 Eidesvik Offshore with a short position of Mercedes Benz. Check out your portfolio center. Please also check ongoing floating volatility patterns of Eidesvik Offshore and Mercedes Benz.
Diversification Opportunities for Eidesvik Offshore and Mercedes Benz
0.59 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Eidesvik and Mercedes is 0.59. Overlapping area represents the amount of risk that can be diversified away by holding Eidesvik Offshore ASA and Mercedes Benz Group AG in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mercedes Benz Group and Eidesvik 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 Eidesvik Offshore ASA are associated (or correlated) with Mercedes Benz. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mercedes Benz Group has no effect on the direction of Eidesvik Offshore i.e., Eidesvik Offshore and Mercedes Benz go up and down completely randomly.
Pair Corralation between Eidesvik Offshore and Mercedes Benz
Assuming the 90 days trading horizon Eidesvik Offshore ASA is expected to generate 1.03 times more return on investment than Mercedes Benz. However, Eidesvik Offshore is 1.03 times more volatile than Mercedes Benz Group AG. It trades about 0.05 of its potential returns per unit of risk. Mercedes Benz Group AG is currently generating about -0.08 per unit of risk. If you would invest 109.00 in Eidesvik Offshore ASA on October 6, 2024 and sell it today you would earn a total of 3.00 from holding Eidesvik Offshore ASA or generate 2.75% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Eidesvik Offshore ASA vs. Mercedes Benz Group AG
Performance |
Timeline |
Eidesvik Offshore ASA |
Mercedes Benz Group |
Eidesvik Offshore and Mercedes Benz Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Eidesvik Offshore and Mercedes Benz
The main advantage of trading using opposite Eidesvik Offshore and Mercedes Benz positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Eidesvik Offshore position performs unexpectedly, Mercedes Benz 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 Mercedes Benz will offset losses from the drop in Mercedes Benz's long position.Eidesvik Offshore vs. China Oilfield Services | Eidesvik Offshore vs. Superior Plus Corp | Eidesvik Offshore vs. NMI Holdings | Eidesvik Offshore vs. Origin Agritech |
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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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