Correlation Between NRG Energy and Datang International
Can any of the company-specific risk be diversified away by investing in both NRG Energy and Datang International 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 Datang International into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NRG Energy and Datang International Power, you can compare the effects of market volatilities on NRG Energy and Datang International 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 Datang International. Check out your portfolio center. Please also check ongoing floating volatility patterns of NRG Energy and Datang International.
Diversification Opportunities for NRG Energy and Datang International
0.15 | Correlation Coefficient |
Average diversification
The 3 months correlation between NRG and Datang is 0.15. Overlapping area represents the amount of risk that can be diversified away by holding NRG Energy and Datang International Power in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Datang International 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 Datang International. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Datang International has no effect on the direction of NRG Energy i.e., NRG Energy and Datang International go up and down completely randomly.
Pair Corralation between NRG Energy and Datang International
Considering the 90-day investment horizon NRG Energy is expected to generate 2.82 times less return on investment than Datang International. But when comparing it to its historical volatility, NRG Energy is 2.43 times less risky than Datang International. It trades about 0.15 of its potential returns per unit of risk. Datang International Power is currently generating about 0.17 of returns per unit of risk over similar time horizon. If you would invest 15.00 in Datang International Power on September 7, 2024 and sell it today you would earn a total of 6.00 from holding Datang International Power or generate 40.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 16.87% |
Values | Daily Returns |
NRG Energy vs. Datang International Power
Performance |
Timeline |
NRG Energy |
Datang International |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
NRG Energy and Datang International Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with NRG Energy and Datang International
The main advantage of trading using opposite NRG Energy and Datang International positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NRG Energy position performs unexpectedly, Datang International 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 Datang International will offset losses from the drop in Datang International's long position.NRG Energy vs. TransAlta Corp | NRG Energy vs. Kenon Holdings | NRG Energy vs. Pampa Energia SA | NRG Energy vs. AGL Energy |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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