Correlation Between China Resources and ENN Energy
Can any of the company-specific risk be diversified away by investing in both China Resources and ENN 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 China Resources and ENN Energy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between China Resources Gas and ENN Energy Holdings, you can compare the effects of market volatilities on China Resources and ENN 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 China Resources with a short position of ENN Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of China Resources and ENN Energy.
Diversification Opportunities for China Resources and ENN Energy
-0.04 | Correlation Coefficient |
Good diversification
The 3 months correlation between China and ENN is -0.04. Overlapping area represents the amount of risk that can be diversified away by holding China Resources Gas and ENN Energy Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ENN Energy Holdings and China Resources 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 Resources Gas are associated (or correlated) with ENN Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ENN Energy Holdings has no effect on the direction of China Resources i.e., China Resources and ENN Energy go up and down completely randomly.
Pair Corralation between China Resources and ENN Energy
Assuming the 90 days trading horizon China Resources Gas is expected to generate 1.02 times more return on investment than ENN Energy. However, China Resources is 1.02 times more volatile than ENN Energy Holdings. It trades about 0.07 of its potential returns per unit of risk. ENN Energy Holdings is currently generating about 0.02 per unit of risk. If you would invest 160.00 in China Resources Gas on September 26, 2024 and sell it today you would earn a total of 208.00 from holding China Resources Gas or generate 130.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
China Resources Gas vs. ENN Energy Holdings
Performance |
Timeline |
China Resources Gas |
ENN Energy Holdings |
China Resources and ENN Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with China Resources and ENN Energy
The main advantage of trading using opposite China Resources and ENN Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if China Resources position performs unexpectedly, ENN 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 ENN Energy will offset losses from the drop in ENN Energy's long position.China Resources vs. CenterPoint Energy | China Resources vs. Snam SpA | China Resources vs. Atmos Energy | China Resources vs. APA Group |
ENN Energy vs. CenterPoint Energy | ENN Energy vs. Snam SpA | ENN Energy vs. Atmos Energy | ENN Energy vs. China Resources Gas |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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