Correlation Between OMV AG and Galp Energa
Can any of the company-specific risk be diversified away by investing in both OMV AG and Galp Energa 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 OMV AG and Galp Energa into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between OMV AG PK and Galp Energa, you can compare the effects of market volatilities on OMV AG and Galp Energa 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 OMV AG with a short position of Galp Energa. Check out your portfolio center. Please also check ongoing floating volatility patterns of OMV AG and Galp Energa.
Diversification Opportunities for OMV AG and Galp Energa
-0.49 | Correlation Coefficient |
Very good diversification
The 3 months correlation between OMV and Galp is -0.49. Overlapping area represents the amount of risk that can be diversified away by holding OMV AG PK and Galp Energa in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Galp Energa and OMV AG 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 OMV AG PK are associated (or correlated) with Galp Energa. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Galp Energa has no effect on the direction of OMV AG i.e., OMV AG and Galp Energa go up and down completely randomly.
Pair Corralation between OMV AG and Galp Energa
Assuming the 90 days horizon OMV AG PK is expected to generate 0.77 times more return on investment than Galp Energa. However, OMV AG PK is 1.29 times less risky than Galp Energa. It trades about 0.12 of its potential returns per unit of risk. Galp Energa is currently generating about -0.04 per unit of risk. If you would invest 1,000.00 in OMV AG PK on December 4, 2024 and sell it today you would earn a total of 99.00 from holding OMV AG PK or generate 9.9% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
OMV AG PK vs. Galp Energa
Performance |
Timeline |
OMV AG PK |
Galp Energa |
OMV AG and Galp Energa Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with OMV AG and Galp Energa
The main advantage of trading using opposite OMV AG and Galp Energa positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if OMV AG position performs unexpectedly, Galp Energa 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 Galp Energa will offset losses from the drop in Galp Energa's long position.The idea behind OMV AG PK and Galp Energa 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.Galp Energa vs. Shell PLC ADR | Galp Energa vs. Equinor ASA ADR | Galp Energa vs. BP PLC ADR | Galp Energa vs. Eni SpA ADR |
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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