Correlation Between Neoen SA and BEIJJINGNENG CLERGHYC1
Can any of the company-specific risk be diversified away by investing in both Neoen SA and BEIJJINGNENG CLERGHYC1 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 Neoen SA and BEIJJINGNENG CLERGHYC1 into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Neoen SA and BEIJJINGNENG CLERGHYC1, you can compare the effects of market volatilities on Neoen SA and BEIJJINGNENG CLERGHYC1 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 Neoen SA with a short position of BEIJJINGNENG CLERGHYC1. Check out your portfolio center. Please also check ongoing floating volatility patterns of Neoen SA and BEIJJINGNENG CLERGHYC1.
Diversification Opportunities for Neoen SA and BEIJJINGNENG CLERGHYC1
0.34 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Neoen and BEIJJINGNENG is 0.34. Overlapping area represents the amount of risk that can be diversified away by holding Neoen SA and BEIJJINGNENG CLERGHYC1 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BEIJJINGNENG CLERGHYC1 and Neoen SA 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 Neoen SA are associated (or correlated) with BEIJJINGNENG CLERGHYC1. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BEIJJINGNENG CLERGHYC1 has no effect on the direction of Neoen SA i.e., Neoen SA and BEIJJINGNENG CLERGHYC1 go up and down completely randomly.
Pair Corralation between Neoen SA and BEIJJINGNENG CLERGHYC1
Assuming the 90 days horizon Neoen SA is expected to generate 0.12 times more return on investment than BEIJJINGNENG CLERGHYC1. However, Neoen SA is 8.65 times less risky than BEIJJINGNENG CLERGHYC1. It trades about -0.12 of its potential returns per unit of risk. BEIJJINGNENG CLERGHYC1 is currently generating about -0.08 per unit of risk. If you would invest 3,974 in Neoen SA on November 2, 2024 and sell it today you would lose (26.00) from holding Neoen SA or give up 0.65% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Neoen SA vs. BEIJJINGNENG CLERGHYC1
Performance |
| Timeline |
| Neoen SA |
| BEIJJINGNENG CLERGHYC1 |
Neoen SA and BEIJJINGNENG CLERGHYC1 Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Neoen SA and BEIJJINGNENG CLERGHYC1
The main advantage of trading using opposite Neoen SA and BEIJJINGNENG CLERGHYC1 positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Neoen SA position performs unexpectedly, BEIJJINGNENG CLERGHYC1 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 BEIJJINGNENG CLERGHYC1 will offset losses from the drop in BEIJJINGNENG CLERGHYC1's long position.| Neoen SA vs. Ormat Technologies | Neoen SA vs. Encavis AG | Neoen SA vs. TOHOKU EL PWR | Neoen SA vs. BEIJJINGNENG CLERGHYC1 |
| BEIJJINGNENG CLERGHYC1 vs. Ormat Technologies | BEIJJINGNENG CLERGHYC1 vs. Neoen SA | BEIJJINGNENG CLERGHYC1 vs. Encavis AG | BEIJJINGNENG CLERGHYC1 vs. TOHOKU EL PWR |
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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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