Correlation Between SilverBow Resources and Woodside Petroleum
Can any of the company-specific risk be diversified away by investing in both SilverBow Resources and Woodside Petroleum 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 SilverBow Resources and Woodside Petroleum into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SilverBow Resources and Woodside Petroleum, you can compare the effects of market volatilities on SilverBow Resources and Woodside Petroleum 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 SilverBow Resources with a short position of Woodside Petroleum. Check out your portfolio center. Please also check ongoing floating volatility patterns of SilverBow Resources and Woodside Petroleum.
Diversification Opportunities for SilverBow Resources and Woodside Petroleum
0.06 | Correlation Coefficient |
Significant diversification
The 3 months correlation between SilverBow and Woodside is 0.06. Overlapping area represents the amount of risk that can be diversified away by holding SilverBow Resources and Woodside Petroleum in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Woodside Petroleum and SilverBow Resources 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 SilverBow Resources are associated (or correlated) with Woodside Petroleum. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Woodside Petroleum has no effect on the direction of SilverBow Resources i.e., SilverBow Resources and Woodside Petroleum go up and down completely randomly.
Pair Corralation between SilverBow Resources and Woodside Petroleum
If you would invest (100.00) in SilverBow Resources on November 3, 2024 and sell it today you would earn a total of 100.00 from holding SilverBow Resources or generate -100.0% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 0.0% |
| Values | Daily Returns |
SilverBow Resources vs. Woodside Petroleum
Performance |
| Timeline |
| SilverBow Resources |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
| Woodside Petroleum |
SilverBow Resources and Woodside Petroleum Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with SilverBow Resources and Woodside Petroleum
The main advantage of trading using opposite SilverBow Resources and Woodside Petroleum positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SilverBow Resources position performs unexpectedly, Woodside Petroleum 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 Woodside Petroleum will offset losses from the drop in Woodside Petroleum's long position.| SilverBow Resources vs. Vital Energy | SilverBow Resources vs. Permian Resources | SilverBow Resources vs. Magnolia Oil Gas | SilverBow Resources vs. Ring Energy |
| Woodside Petroleum vs. Inpex Corp ADR | Woodside Petroleum vs. Falcon Oil Gas | Woodside Petroleum vs. Pantheon Resources Plc | Woodside Petroleum vs. Woodside Energy Group |
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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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