Correlation Between Ensign Energy and Pason Systems
Can any of the company-specific risk be diversified away by investing in both Ensign Energy and Pason Systems 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 Ensign Energy and Pason Systems into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ensign Energy Services and Pason Systems, you can compare the effects of market volatilities on Ensign Energy and Pason Systems 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 Ensign Energy with a short position of Pason Systems. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ensign Energy and Pason Systems.
Diversification Opportunities for Ensign Energy and Pason Systems
0.38 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Ensign and Pason is 0.38. Overlapping area represents the amount of risk that can be diversified away by holding Ensign Energy Services and Pason Systems in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pason Systems and Ensign 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 Ensign Energy Services are associated (or correlated) with Pason Systems. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pason Systems has no effect on the direction of Ensign Energy i.e., Ensign Energy and Pason Systems go up and down completely randomly.
Pair Corralation between Ensign Energy and Pason Systems
Assuming the 90 days trading horizon Ensign Energy Services is expected to under-perform the Pason Systems. In addition to that, Ensign Energy is 1.78 times more volatile than Pason Systems. It trades about -0.2 of its total potential returns per unit of risk. Pason Systems is currently generating about -0.07 per unit of volatility. If you would invest 1,369 in Pason Systems on November 9, 2024 and sell it today you would lose (36.00) from holding Pason Systems or give up 2.63% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Ensign Energy Services vs. Pason Systems
Performance |
| Timeline |
| Ensign Energy Services |
| Pason Systems |
Ensign Energy and Pason Systems Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Ensign Energy and Pason Systems
The main advantage of trading using opposite Ensign Energy and Pason Systems positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ensign Energy position performs unexpectedly, Pason Systems 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 Pason Systems will offset losses from the drop in Pason Systems' long position.| Ensign Energy vs. Precision Drilling | Ensign Energy vs. Trican Well Service | Ensign Energy vs. Calfrac Well Services | Ensign Energy vs. NuVista Energy |
| Pason Systems vs. Enerflex | Pason Systems vs. Mullen Group | Pason Systems vs. Secure Energy Services | Pason Systems vs. Ensign Energy Services |
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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