Correlation Between Pancontinental Oil and Coelacanth Energy
Can any of the company-specific risk be diversified away by investing in both Pancontinental Oil and Coelacanth 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 Pancontinental Oil and Coelacanth Energy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Pancontinental Oil Gas and Coelacanth Energy, you can compare the effects of market volatilities on Pancontinental Oil and Coelacanth 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 Pancontinental Oil with a short position of Coelacanth Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Pancontinental Oil and Coelacanth Energy.
Diversification Opportunities for Pancontinental Oil and Coelacanth Energy
0.11 | Correlation Coefficient |
Average diversification
The 3 months correlation between Pancontinental and Coelacanth is 0.11. Overlapping area represents the amount of risk that can be diversified away by holding Pancontinental Oil Gas and Coelacanth Energy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Coelacanth Energy and Pancontinental Oil 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 Pancontinental Oil Gas are associated (or correlated) with Coelacanth Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Coelacanth Energy has no effect on the direction of Pancontinental Oil i.e., Pancontinental Oil and Coelacanth Energy go up and down completely randomly.
Pair Corralation between Pancontinental Oil and Coelacanth Energy
Assuming the 90 days horizon Pancontinental Oil Gas is expected to generate 8.07 times more return on investment than Coelacanth Energy. However, Pancontinental Oil is 8.07 times more volatile than Coelacanth Energy. It trades about 0.05 of its potential returns per unit of risk. Coelacanth Energy is currently generating about -0.03 per unit of risk. If you would invest 0.90 in Pancontinental Oil Gas on May 6, 2025 and sell it today you would lose (0.15) from holding Pancontinental Oil Gas or give up 16.67% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 98.44% |
Values | Daily Returns |
Pancontinental Oil Gas vs. Coelacanth Energy
Performance |
Timeline |
Pancontinental Oil Gas |
Coelacanth Energy |
Pancontinental Oil and Coelacanth Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Pancontinental Oil and Coelacanth Energy
The main advantage of trading using opposite Pancontinental Oil and Coelacanth Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Pancontinental Oil position performs unexpectedly, Coelacanth 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 Coelacanth Energy will offset losses from the drop in Coelacanth Energy's long position.Pancontinental Oil vs. Africa Oil Corp | Pancontinental Oil vs. AXP Energy | Pancontinental Oil vs. Coelacanth Energy | Pancontinental Oil vs. Eco Oil Gas |
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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 Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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