Correlation Between Huaneng Power and CGN Power
Can any of the company-specific risk be diversified away by investing in both Huaneng Power and CGN Power 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 Huaneng Power and CGN Power into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Huaneng Power International and CGN Power Co, you can compare the effects of market volatilities on Huaneng Power and CGN Power 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 Huaneng Power with a short position of CGN Power. Check out your portfolio center. Please also check ongoing floating volatility patterns of Huaneng Power and CGN Power.
Diversification Opportunities for Huaneng Power and CGN Power
-0.45 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Huaneng and CGN is -0.45. Overlapping area represents the amount of risk that can be diversified away by holding Huaneng Power International and CGN Power Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CGN Power and Huaneng Power 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 Huaneng Power International are associated (or correlated) with CGN Power. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CGN Power has no effect on the direction of Huaneng Power i.e., Huaneng Power and CGN Power go up and down completely randomly.
Pair Corralation between Huaneng Power and CGN Power
Assuming the 90 days trading horizon Huaneng Power is expected to generate 5.04 times less return on investment than CGN Power. But when comparing it to its historical volatility, Huaneng Power International is 2.95 times less risky than CGN Power. It trades about 0.04 of its potential returns per unit of risk. CGN Power Co is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 7.29 in CGN Power Co on October 14, 2024 and sell it today you would earn a total of 20.71 from holding CGN Power Co or generate 284.09% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 99.8% |
Values | Daily Returns |
Huaneng Power International vs. CGN Power Co
Performance |
Timeline |
Huaneng Power Intern |
CGN Power |
Huaneng Power and CGN Power Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Huaneng Power and CGN Power
The main advantage of trading using opposite Huaneng Power and CGN Power positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Huaneng Power position performs unexpectedly, CGN Power 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 CGN Power will offset losses from the drop in CGN Power's long position.Huaneng Power vs. Major Drilling Group | Huaneng Power vs. CVW CLEANTECH INC | Huaneng Power vs. Pembina Pipeline Corp | Huaneng Power vs. China BlueChemical |
CGN Power vs. Nomad Foods | CGN Power vs. Astral Foods Limited | CGN Power vs. GALENA MINING LTD | CGN Power vs. Thai Beverage Public |
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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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