Correlation Between China Southern and Enlight Renewable
Can any of the company-specific risk be diversified away by investing in both China Southern and Enlight Renewable 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 China Southern and Enlight Renewable into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between China Southern Airlines and Enlight Renewable Energy, you can compare the effects of market volatilities on China Southern and Enlight Renewable 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 China Southern with a short position of Enlight Renewable. Check out your portfolio center. Please also check ongoing floating volatility patterns of China Southern and Enlight Renewable.
Diversification Opportunities for China Southern and Enlight Renewable
0.54 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between China and Enlight is 0.54. Overlapping area represents the amount of risk that can be diversified away by holding China Southern Airlines and Enlight Renewable Energy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Enlight Renewable Energy and China Southern 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 China Southern Airlines are associated (or correlated) with Enlight Renewable. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Enlight Renewable Energy has no effect on the direction of China Southern i.e., China Southern and Enlight Renewable go up and down completely randomly.
Pair Corralation between China Southern and Enlight Renewable
Assuming the 90 days horizon China Southern Airlines is expected to generate 2.05 times more return on investment than Enlight Renewable. However, China Southern is 2.05 times more volatile than Enlight Renewable Energy. It trades about 0.07 of its potential returns per unit of risk. Enlight Renewable Energy is currently generating about 0.03 per unit of risk. If you would invest 34.00 in China Southern Airlines on October 9, 2024 and sell it today you would earn a total of 20.00 from holding China Southern Airlines or generate 58.82% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
China Southern Airlines vs. Enlight Renewable Energy
Performance |
Timeline |
China Southern Airlines |
Enlight Renewable Energy |
China Southern and Enlight Renewable Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with China Southern and Enlight Renewable
The main advantage of trading using opposite China Southern and Enlight Renewable positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if China Southern position performs unexpectedly, Enlight Renewable 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 Enlight Renewable will offset losses from the drop in Enlight Renewable's long position.China Southern vs. Cebu Air | China Southern vs. Finnair Oyj | China Southern vs. easyJet plc | China Southern vs. Norse Atlantic ASA |
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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 Efficient Frontier module to plot and analyze your portfolio and positions against risk-return landscape of the market..
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