Correlation Between Datang International and POLENERGIA
Can any of the company-specific risk be diversified away by investing in both Datang International and POLENERGIA 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 Datang International and POLENERGIA into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Datang International Power and POLENERGIA SA ZY, you can compare the effects of market volatilities on Datang International and POLENERGIA 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 Datang International with a short position of POLENERGIA. Check out your portfolio center. Please also check ongoing floating volatility patterns of Datang International and POLENERGIA.
Diversification Opportunities for Datang International and POLENERGIA
-0.33 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Datang and POLENERGIA is -0.33. Overlapping area represents the amount of risk that can be diversified away by holding Datang International Power and POLENERGIA SA ZY in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on POLENERGIA SA ZY and Datang International 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 Datang International Power are associated (or correlated) with POLENERGIA. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of POLENERGIA SA ZY has no effect on the direction of Datang International i.e., Datang International and POLENERGIA go up and down completely randomly.
Pair Corralation between Datang International and POLENERGIA
Assuming the 90 days horizon Datang International Power is expected to generate 1.28 times more return on investment than POLENERGIA. However, Datang International is 1.28 times more volatile than POLENERGIA SA ZY. It trades about 0.11 of its potential returns per unit of risk. POLENERGIA SA ZY is currently generating about -0.04 per unit of risk. If you would invest 17.00 in Datang International Power on April 22, 2025 and sell it today you would earn a total of 4.00 from holding Datang International Power or generate 23.53% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Datang International Power vs. POLENERGIA SA ZY
Performance |
Timeline |
Datang International |
POLENERGIA SA ZY |
Datang International and POLENERGIA Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Datang International and POLENERGIA
The main advantage of trading using opposite Datang International and POLENERGIA positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Datang International position performs unexpectedly, POLENERGIA 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 POLENERGIA will offset losses from the drop in POLENERGIA's long position.Datang International vs. FIREWEED METALS P | Datang International vs. SHELF DRILLING LTD | Datang International vs. MCEWEN MINING INC | Datang International vs. Rogers Communications |
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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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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