Correlation Between Sinopec Oilfield and Helmerich Payne
Can any of the company-specific risk be diversified away by investing in both Sinopec Oilfield and Helmerich Payne 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 Sinopec Oilfield and Helmerich Payne into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sinopec Oilfield Service and Helmerich Payne, you can compare the effects of market volatilities on Sinopec Oilfield and Helmerich Payne 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 Sinopec Oilfield with a short position of Helmerich Payne. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sinopec Oilfield and Helmerich Payne.
Diversification Opportunities for Sinopec Oilfield and Helmerich Payne
0.2 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Sinopec and Helmerich is 0.2. Overlapping area represents the amount of risk that can be diversified away by holding Sinopec Oilfield Service and Helmerich Payne in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Helmerich Payne and Sinopec Oilfield 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 Sinopec Oilfield Service are associated (or correlated) with Helmerich Payne. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Helmerich Payne has no effect on the direction of Sinopec Oilfield i.e., Sinopec Oilfield and Helmerich Payne go up and down completely randomly.
Pair Corralation between Sinopec Oilfield and Helmerich Payne
Assuming the 90 days trading horizon Sinopec Oilfield Service is expected to generate 1.13 times more return on investment than Helmerich Payne. However, Sinopec Oilfield is 1.13 times more volatile than Helmerich Payne. It trades about 0.02 of its potential returns per unit of risk. Helmerich Payne is currently generating about -0.15 per unit of risk. If you would invest 6.80 in Sinopec Oilfield Service on November 29, 2024 and sell it today you would earn a total of 0.10 from holding Sinopec Oilfield Service or generate 1.47% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Sinopec Oilfield Service vs. Helmerich Payne
Performance |
Timeline |
Sinopec Oilfield Service |
Helmerich Payne |
Sinopec Oilfield and Helmerich Payne Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sinopec Oilfield and Helmerich Payne
The main advantage of trading using opposite Sinopec Oilfield and Helmerich Payne positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sinopec Oilfield position performs unexpectedly, Helmerich Payne 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 Helmerich Payne will offset losses from the drop in Helmerich Payne's long position.Sinopec Oilfield vs. De Grey Mining | Sinopec Oilfield vs. STRAYER EDUCATION | Sinopec Oilfield vs. DEVRY EDUCATION GRP | Sinopec Oilfield vs. Geely Automobile Holdings |
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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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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