Correlation Between NOV and Baker Hughes
Can any of the company-specific risk be diversified away by investing in both NOV and Baker Hughes 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 NOV and Baker Hughes into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NOV Inc and Baker Hughes Co, you can compare the effects of market volatilities on NOV and Baker Hughes 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 NOV with a short position of Baker Hughes. Check out your portfolio center. Please also check ongoing floating volatility patterns of NOV and Baker Hughes.
Diversification Opportunities for NOV and Baker Hughes
0.52 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between NOV and Baker is 0.52. Overlapping area represents the amount of risk that can be diversified away by holding NOV Inc and Baker Hughes Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Baker Hughes and NOV 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 NOV Inc are associated (or correlated) with Baker Hughes. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Baker Hughes has no effect on the direction of NOV i.e., NOV and Baker Hughes go up and down completely randomly.
Pair Corralation between NOV and Baker Hughes
Assuming the 90 days horizon NOV Inc is expected to under-perform the Baker Hughes. In addition to that, NOV is 1.4 times more volatile than Baker Hughes Co. It trades about -0.23 of its total potential returns per unit of risk. Baker Hughes Co is currently generating about -0.22 per unit of volatility. If you would invest 4,105 in Baker Hughes Co on September 28, 2024 and sell it today you would lose (208.00) from holding Baker Hughes Co or give up 5.07% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 95.24% |
Values | Daily Returns |
NOV Inc vs. Baker Hughes Co
Performance |
Timeline |
NOV Inc |
Baker Hughes |
NOV and Baker Hughes Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with NOV and Baker Hughes
The main advantage of trading using opposite NOV and Baker Hughes positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NOV position performs unexpectedly, Baker Hughes 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 Baker Hughes will offset losses from the drop in Baker Hughes' long position.The idea behind NOV Inc and Baker Hughes Co pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Baker Hughes vs. Halliburton | Baker Hughes vs. Tenaris SA | Baker Hughes vs. China Oilfield Services | Baker Hughes vs. NOV Inc |
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 File Import module to quickly import all of your third-party portfolios from your local drive in csv format.
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