Correlation Between Baker Hughes and Dawson Geophysical
Can any of the company-specific risk be diversified away by investing in both Baker Hughes and Dawson Geophysical 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 Baker Hughes and Dawson Geophysical into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Baker Hughes Co and Dawson Geophysical, you can compare the effects of market volatilities on Baker Hughes and Dawson Geophysical 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 Baker Hughes with a short position of Dawson Geophysical. Check out your portfolio center. Please also check ongoing floating volatility patterns of Baker Hughes and Dawson Geophysical.
Diversification Opportunities for Baker Hughes and Dawson Geophysical
-0.34 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Baker and Dawson is -0.34. Overlapping area represents the amount of risk that can be diversified away by holding Baker Hughes Co and Dawson Geophysical in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dawson Geophysical and Baker Hughes 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 Baker Hughes Co are associated (or correlated) with Dawson Geophysical. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dawson Geophysical has no effect on the direction of Baker Hughes i.e., Baker Hughes and Dawson Geophysical go up and down completely randomly.
Pair Corralation between Baker Hughes and Dawson Geophysical
Considering the 90-day investment horizon Baker Hughes Co is expected to generate 0.42 times more return on investment than Dawson Geophysical. However, Baker Hughes Co is 2.36 times less risky than Dawson Geophysical. It trades about 0.18 of its potential returns per unit of risk. Dawson Geophysical is currently generating about 0.01 per unit of risk. If you would invest 3,379 in Baker Hughes Co on September 14, 2024 and sell it today you would earn a total of 854.00 from holding Baker Hughes Co or generate 25.27% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Baker Hughes Co vs. Dawson Geophysical
Performance |
Timeline |
Baker Hughes |
Dawson Geophysical |
Baker Hughes and Dawson Geophysical Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Baker Hughes and Dawson Geophysical
The main advantage of trading using opposite Baker Hughes and Dawson Geophysical positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Baker Hughes position performs unexpectedly, Dawson Geophysical 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 Dawson Geophysical will offset losses from the drop in Dawson Geophysical's long position.Baker Hughes vs. Schlumberger NV | Baker Hughes vs. NOV Inc | Baker Hughes vs. Weatherford International PLC | Baker Hughes vs. Tenaris SA ADR |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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