Correlation Between Superior Plus and Nabors Industries
Can any of the company-specific risk be diversified away by investing in both Superior Plus and Nabors Industries 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 Superior Plus and Nabors Industries into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Superior Plus Corp and Nabors Industries, you can compare the effects of market volatilities on Superior Plus and Nabors Industries 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 Superior Plus with a short position of Nabors Industries. Check out your portfolio center. Please also check ongoing floating volatility patterns of Superior Plus and Nabors Industries.
Diversification Opportunities for Superior Plus and Nabors Industries
-0.63 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Superior and Nabors is -0.63. Overlapping area represents the amount of risk that can be diversified away by holding Superior Plus Corp and Nabors Industries in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nabors Industries and Superior Plus 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 Superior Plus Corp are associated (or correlated) with Nabors Industries. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Nabors Industries has no effect on the direction of Superior Plus i.e., Superior Plus and Nabors Industries go up and down completely randomly.
Pair Corralation between Superior Plus and Nabors Industries
Assuming the 90 days horizon Superior Plus Corp is expected to under-perform the Nabors Industries. But the stock apears to be less risky and, when comparing its historical volatility, Superior Plus Corp is 1.07 times less risky than Nabors Industries. The stock trades about -0.04 of its potential returns per unit of risk. The Nabors Industries is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 6,700 in Nabors Industries on August 31, 2024 and sell it today you would earn a total of 150.00 from holding Nabors Industries or generate 2.24% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Superior Plus Corp vs. Nabors Industries
Performance |
Timeline |
Superior Plus Corp |
Nabors Industries |
Superior Plus and Nabors Industries Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Superior Plus and Nabors Industries
The main advantage of trading using opposite Superior Plus and Nabors Industries positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Superior Plus position performs unexpectedly, Nabors Industries 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 Nabors Industries will offset losses from the drop in Nabors Industries' long position.Superior Plus vs. BROADSTNET LEADL 00025 | Superior Plus vs. Mitsubishi Materials | Superior Plus vs. Martin Marietta Materials | Superior Plus vs. Summit Materials |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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