Correlation Between Sintana Energy and Prairie Provident
Can any of the company-specific risk be diversified away by investing in both Sintana Energy and Prairie Provident 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 Sintana Energy and Prairie Provident into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sintana Energy and Prairie Provident Resources, you can compare the effects of market volatilities on Sintana Energy and Prairie Provident 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 Sintana Energy with a short position of Prairie Provident. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sintana Energy and Prairie Provident.
Diversification Opportunities for Sintana Energy and Prairie Provident
0.6 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Sintana and Prairie is 0.6. Overlapping area represents the amount of risk that can be diversified away by holding Sintana Energy and Prairie Provident Resources in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Prairie Provident and Sintana 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 Sintana Energy are associated (or correlated) with Prairie Provident. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Prairie Provident has no effect on the direction of Sintana Energy i.e., Sintana Energy and Prairie Provident go up and down completely randomly.
Pair Corralation between Sintana Energy and Prairie Provident
Assuming the 90 days horizon Sintana Energy is expected to generate 1.02 times less return on investment than Prairie Provident. But when comparing it to its historical volatility, Sintana Energy is 1.75 times less risky than Prairie Provident. It trades about 0.22 of its potential returns per unit of risk. Prairie Provident Resources is currently generating about 0.13 of returns per unit of risk over similar time horizon. If you would invest 1.79 in Prairie Provident Resources on September 18, 2024 and sell it today you would earn a total of 0.31 from holding Prairie Provident Resources or generate 17.32% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Sintana Energy vs. Prairie Provident Resources
Performance |
Timeline |
Sintana Energy |
Prairie Provident |
Sintana Energy and Prairie Provident Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sintana Energy and Prairie Provident
The main advantage of trading using opposite Sintana Energy and Prairie Provident positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sintana Energy position performs unexpectedly, Prairie Provident 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 Prairie Provident will offset losses from the drop in Prairie Provident's long position.Sintana Energy vs. Permian Resources | Sintana Energy vs. Devon Energy | Sintana Energy vs. EOG Resources | Sintana Energy vs. Coterra Energy |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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