Correlation Between NRG Energy and China Resources
Can any of the company-specific risk be diversified away by investing in both NRG Energy and China Resources 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 NRG Energy and China Resources into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NRG Energy and China Resources Power, you can compare the effects of market volatilities on NRG Energy and China Resources 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 NRG Energy with a short position of China Resources. Check out your portfolio center. Please also check ongoing floating volatility patterns of NRG Energy and China Resources.
Diversification Opportunities for NRG Energy and China Resources
-0.36 | Correlation Coefficient |
Very good diversification
The 3 months correlation between NRG and China is -0.36. Overlapping area represents the amount of risk that can be diversified away by holding NRG Energy and China Resources Power in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on China Resources Power and NRG Energy 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 NRG Energy are associated (or correlated) with China Resources. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of China Resources Power has no effect on the direction of NRG Energy i.e., NRG Energy and China Resources go up and down completely randomly.
Pair Corralation between NRG Energy and China Resources
Assuming the 90 days horizon NRG Energy is expected to under-perform the China Resources. In addition to that, NRG Energy is 1.78 times more volatile than China Resources Power. It trades about -0.08 of its total potential returns per unit of risk. China Resources Power is currently generating about 0.27 per unit of volatility. If you would invest 217.00 in China Resources Power on September 22, 2024 and sell it today you would earn a total of 17.00 from holding China Resources Power or generate 7.83% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
NRG Energy vs. China Resources Power
Performance |
Timeline |
NRG Energy |
China Resources Power |
NRG Energy and China Resources Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with NRG Energy and China Resources
The main advantage of trading using opposite NRG Energy and China Resources positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NRG Energy position performs unexpectedly, China Resources 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 China Resources will offset losses from the drop in China Resources' long position.NRG Energy vs. Superior Plus Corp | NRG Energy vs. SIVERS SEMICONDUCTORS AB | NRG Energy vs. Norsk Hydro ASA | NRG Energy vs. Reliance Steel Aluminum |
China Resources vs. Sterling Construction | China Resources vs. Dairy Farm International | China Resources vs. AGRICULTBK HADR25 YC | China Resources vs. Penta Ocean Construction Co |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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