Correlation Between 88 Energy and Sintana Energy
Can any of the company-specific risk be diversified away by investing in both 88 Energy and Sintana 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 88 Energy and Sintana Energy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between 88 Energy Limited and Sintana Energy, you can compare the effects of market volatilities on 88 Energy and Sintana 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 88 Energy with a short position of Sintana Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of 88 Energy and Sintana Energy.
Diversification Opportunities for 88 Energy and Sintana Energy
-0.1 | Correlation Coefficient |
Good diversification
The 3 months correlation between EEENF and Sintana is -0.1. Overlapping area represents the amount of risk that can be diversified away by holding 88 Energy Limited and Sintana Energy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sintana Energy and 88 Energy 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 88 Energy Limited are associated (or correlated) with Sintana Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sintana Energy has no effect on the direction of 88 Energy i.e., 88 Energy and Sintana Energy go up and down completely randomly.
Pair Corralation between 88 Energy and Sintana Energy
Assuming the 90 days horizon 88 Energy Limited is expected to generate 2.05 times more return on investment than Sintana Energy. However, 88 Energy is 2.05 times more volatile than Sintana Energy. It trades about 0.09 of its potential returns per unit of risk. Sintana Energy is currently generating about -0.47 per unit of risk. If you would invest 0.10 in 88 Energy Limited on November 3, 2024 and sell it today you would earn a total of 0.01 from holding 88 Energy Limited or generate 10.0% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
88 Energy Limited vs. Sintana Energy
Performance |
| Timeline |
| 88 Energy Limited |
| Sintana Energy |
88 Energy and Sintana Energy Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with 88 Energy and Sintana Energy
The main advantage of trading using opposite 88 Energy and Sintana Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if 88 Energy position performs unexpectedly, Sintana 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 Sintana Energy will offset losses from the drop in Sintana Energy's long position.| 88 Energy vs. Invictus Energy Limited | 88 Energy vs. Sintana Energy | 88 Energy vs. Journey Energy | 88 Energy vs. Trillion Energy International |
| Sintana Energy vs. Kiwetinohk Energy Corp | Sintana Energy vs. Melbana Energy Limited | Sintana Energy vs. Pancontinental Oil Gas | Sintana Energy vs. Eco Oil Gas |
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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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