Correlation Between Nabors Industries and Malaga Financial
Can any of the company-specific risk be diversified away by investing in both Nabors Industries and Malaga Financial 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 Nabors Industries and Malaga Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Nabors Industries and Malaga Financial, you can compare the effects of market volatilities on Nabors Industries and Malaga Financial 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 Nabors Industries with a short position of Malaga Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Nabors Industries and Malaga Financial.
Diversification Opportunities for Nabors Industries and Malaga Financial
-0.39 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Nabors and Malaga is -0.39. Overlapping area represents the amount of risk that can be diversified away by holding Nabors Industries and Malaga Financial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Malaga Financial and Nabors Industries 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 Nabors Industries are associated (or correlated) with Malaga Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Malaga Financial has no effect on the direction of Nabors Industries i.e., Nabors Industries and Malaga Financial go up and down completely randomly.
Pair Corralation between Nabors Industries and Malaga Financial
Assuming the 90 days horizon Nabors Industries is expected to under-perform the Malaga Financial. In addition to that, Nabors Industries is 1.09 times more volatile than Malaga Financial. It trades about -0.04 of its total potential returns per unit of risk. Malaga Financial is currently generating about 0.03 per unit of volatility. If you would invest 1,950 in Malaga Financial on October 4, 2024 and sell it today you would earn a total of 290.00 from holding Malaga Financial or generate 14.87% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 82.22% |
Values | Daily Returns |
Nabors Industries vs. Malaga Financial
Performance |
Timeline |
Nabors Industries |
Malaga Financial |
Nabors Industries and Malaga Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Nabors Industries and Malaga Financial
The main advantage of trading using opposite Nabors Industries and Malaga Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Nabors Industries position performs unexpectedly, Malaga Financial 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 Malaga Financial will offset losses from the drop in Malaga Financial's long position.Nabors Industries vs. Ecolab Inc | Nabors Industries vs. Sensient Technologies | Nabors Industries vs. Origin Materials | Nabors Industries vs. Balchem |
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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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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