Correlation Between Geely Automobile and Lundin Energy
Can any of the company-specific risk be diversified away by investing in both Geely Automobile and Lundin Energy 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 Geely Automobile and Lundin Energy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Geely Automobile Holdings and Lundin Energy AB, you can compare the effects of market volatilities on Geely Automobile and Lundin Energy 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 Geely Automobile with a short position of Lundin Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Geely Automobile and Lundin Energy.
Diversification Opportunities for Geely Automobile and Lundin Energy
-0.5 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Geely and Lundin is -0.5. Overlapping area represents the amount of risk that can be diversified away by holding Geely Automobile Holdings and Lundin Energy AB in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lundin Energy AB and Geely Automobile 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 Geely Automobile Holdings are associated (or correlated) with Lundin Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lundin Energy AB has no effect on the direction of Geely Automobile i.e., Geely Automobile and Lundin Energy go up and down completely randomly.
Pair Corralation between Geely Automobile and Lundin Energy
Assuming the 90 days horizon Geely Automobile Holdings is expected to generate 1.09 times more return on investment than Lundin Energy. However, Geely Automobile is 1.09 times more volatile than Lundin Energy AB. It trades about 0.07 of its potential returns per unit of risk. Lundin Energy AB is currently generating about -0.18 per unit of risk. If you would invest 189.00 in Geely Automobile Holdings on December 20, 2024 and sell it today you would earn a total of 20.00 from holding Geely Automobile Holdings or generate 10.58% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Geely Automobile Holdings vs. Lundin Energy AB
Performance |
Timeline |
Geely Automobile Holdings |
Lundin Energy AB |
Geely Automobile and Lundin Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Geely Automobile and Lundin Energy
The main advantage of trading using opposite Geely Automobile and Lundin Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Geely Automobile position performs unexpectedly, Lundin Energy 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 Lundin Energy will offset losses from the drop in Lundin Energy's long position.Geely Automobile vs. CARSALESCOM | Geely Automobile vs. Wyndham Hotels Resorts | Geely Automobile vs. Xenia Hotels Resorts | Geely Automobile vs. PPHE HOTEL GROUP |
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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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