Correlation Between Lumia and Halliburton
Can any of the company-specific risk be diversified away by investing in both Lumia and Halliburton 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 Lumia and Halliburton into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lumia and Halliburton, you can compare the effects of market volatilities on Lumia and Halliburton 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 Lumia with a short position of Halliburton. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lumia and Halliburton.
Diversification Opportunities for Lumia and Halliburton
-0.09 | Correlation Coefficient |
Good diversification
The 3 months correlation between Lumia and Halliburton is -0.09. Overlapping area represents the amount of risk that can be diversified away by holding Lumia and Halliburton in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Halliburton and Lumia 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 Lumia are associated (or correlated) with Halliburton. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Halliburton has no effect on the direction of Lumia i.e., Lumia and Halliburton go up and down completely randomly.
Pair Corralation between Lumia and Halliburton
Assuming the 90 days trading horizon Lumia is expected to generate 124.04 times more return on investment than Halliburton. However, Lumia is 124.04 times more volatile than Halliburton. It trades about 0.21 of its potential returns per unit of risk. Halliburton is currently generating about -0.11 per unit of risk. If you would invest 0.00 in Lumia on October 10, 2024 and sell it today you would earn a total of 128.00 from holding Lumia or generate 9.223372036854776E16% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 80.95% |
Values | Daily Returns |
Lumia vs. Halliburton
Performance |
Timeline |
Lumia |
Halliburton |
Lumia and Halliburton Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lumia and Halliburton
The main advantage of trading using opposite Lumia and Halliburton positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lumia position performs unexpectedly, Halliburton 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 Halliburton will offset losses from the drop in Halliburton's long position.The idea behind Lumia and Halliburton 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.Halliburton vs. LANDSEA GREEN MANAGEMENT | Halliburton vs. AGF Management Limited | Halliburton vs. USU Software AG | Halliburton vs. CyberArk Software |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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