Correlation Between Petrus Resources and Orca Energy
Can any of the company-specific risk be diversified away by investing in both Petrus Resources and Orca Energy 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 Petrus Resources and Orca Energy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Petrus Resources and Orca Energy Group, you can compare the effects of market volatilities on Petrus Resources and Orca Energy 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 Petrus Resources with a short position of Orca Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Petrus Resources and Orca Energy.
Diversification Opportunities for Petrus Resources and Orca Energy
-0.33 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Petrus and Orca is -0.33. Overlapping area represents the amount of risk that can be diversified away by holding Petrus Resources and Orca Energy Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Orca Energy Group and Petrus Resources 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 Petrus Resources are associated (or correlated) with Orca Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Orca Energy Group has no effect on the direction of Petrus Resources i.e., Petrus Resources and Orca Energy go up and down completely randomly.
Pair Corralation between Petrus Resources and Orca Energy
Assuming the 90 days horizon Petrus Resources is expected to generate 0.6 times more return on investment than Orca Energy. However, Petrus Resources is 1.68 times less risky than Orca Energy. It trades about 0.03 of its potential returns per unit of risk. Orca Energy Group is currently generating about -0.03 per unit of risk. If you would invest 97.00 in Petrus Resources on September 3, 2024 and sell it today you would earn a total of 6.00 from holding Petrus Resources or generate 6.19% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 91.93% |
| Values | Daily Returns |
Petrus Resources vs. Orca Energy Group
Performance |
| Timeline |
| Petrus Resources |
| Orca Energy Group |
Petrus Resources and Orca Energy Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Petrus Resources and Orca Energy
The main advantage of trading using opposite Petrus Resources and Orca Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Petrus Resources position performs unexpectedly, Orca Energy 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 Orca Energy will offset losses from the drop in Orca Energy's long position.| Petrus Resources vs. FAR Limited | Petrus Resources vs. Valeura Energy | Petrus Resources vs. Epsilon Energy | Petrus Resources vs. PetroShale |
| Orca Energy vs. PetroShale | Orca Energy vs. Questerre Energy | Orca Energy vs. Petrus Resources | Orca Energy vs. Inpex Corp 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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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