Correlation Between Equinor ASA and OMV Aktiengesellscha
Can any of the company-specific risk be diversified away by investing in both Equinor ASA and OMV Aktiengesellscha 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 OMV Aktiengesellscha into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Equinor ASA ADR and OMV Aktiengesellschaft, you can compare the effects of market volatilities on Equinor ASA and OMV Aktiengesellscha 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 OMV Aktiengesellscha. Check out your portfolio center. Please also check ongoing floating volatility patterns of Equinor ASA and OMV Aktiengesellscha.
Diversification Opportunities for Equinor ASA and OMV Aktiengesellscha
0.24 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Equinor and OMV is 0.24. Overlapping area represents the amount of risk that can be diversified away by holding Equinor ASA ADR and OMV Aktiengesellschaft in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on OMV Aktiengesellschaft 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 ADR are associated (or correlated) with OMV Aktiengesellscha. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of OMV Aktiengesellschaft has no effect on the direction of Equinor ASA i.e., Equinor ASA and OMV Aktiengesellscha go up and down completely randomly.
Pair Corralation between Equinor ASA and OMV Aktiengesellscha
Given the investment horizon of 90 days Equinor ASA ADR is expected to under-perform the OMV Aktiengesellscha. In addition to that, Equinor ASA is 2.11 times more volatile than OMV Aktiengesellschaft. It trades about -0.03 of its total potential returns per unit of risk. OMV Aktiengesellschaft is currently generating about -0.02 per unit of volatility. If you would invest 4,051 in OMV Aktiengesellschaft on September 17, 2024 and sell it today you would lose (51.00) from holding OMV Aktiengesellschaft or give up 1.26% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Equinor ASA ADR vs. OMV Aktiengesellschaft
Performance |
Timeline |
Equinor ASA ADR |
OMV Aktiengesellschaft |
Equinor ASA and OMV Aktiengesellscha Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Equinor ASA and OMV Aktiengesellscha
The main advantage of trading using opposite Equinor ASA and OMV Aktiengesellscha positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Equinor ASA position performs unexpectedly, OMV Aktiengesellscha 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 OMV Aktiengesellscha will offset losses from the drop in OMV Aktiengesellscha's long position.Equinor ASA vs. Aquagold International | Equinor ASA vs. Thrivent High Yield | Equinor ASA vs. Morningstar Unconstrained Allocation | Equinor ASA vs. Via Renewables |
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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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