Correlation Between China DatangRenewable and CBRE Group
Can any of the company-specific risk be diversified away by investing in both China DatangRenewable and CBRE Group 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 DatangRenewable and CBRE Group into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between China Datang and CBRE Group Class, you can compare the effects of market volatilities on China DatangRenewable and CBRE Group 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 DatangRenewable with a short position of CBRE Group. Check out your portfolio center. Please also check ongoing floating volatility patterns of China DatangRenewable and CBRE Group.
Diversification Opportunities for China DatangRenewable and CBRE Group
0.06 | Correlation Coefficient |
Significant diversification
The 3 months correlation between China and CBRE is 0.06. Overlapping area represents the amount of risk that can be diversified away by holding China Datang and CBRE Group Class in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CBRE Group Class and China DatangRenewable 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 Datang are associated (or correlated) with CBRE Group. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CBRE Group Class has no effect on the direction of China DatangRenewable i.e., China DatangRenewable and CBRE Group go up and down completely randomly.
Pair Corralation between China DatangRenewable and CBRE Group
Assuming the 90 days horizon China Datang is expected to generate 1.55 times more return on investment than CBRE Group. However, China DatangRenewable is 1.55 times more volatile than CBRE Group Class. It trades about 0.04 of its potential returns per unit of risk. CBRE Group Class is currently generating about -0.05 per unit of risk. If you would invest 25.00 in China Datang on December 19, 2024 and sell it today you would earn a total of 1.00 from holding China Datang or generate 4.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
China Datang vs. CBRE Group Class
Performance |
Timeline |
China DatangRenewable |
CBRE Group Class |
China DatangRenewable and CBRE Group Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with China DatangRenewable and CBRE Group
The main advantage of trading using opposite China DatangRenewable and CBRE Group positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if China DatangRenewable position performs unexpectedly, CBRE Group 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 CBRE Group will offset losses from the drop in CBRE Group's long position.China DatangRenewable vs. Micron Technology | China DatangRenewable vs. CapitaLand Investment Limited | China DatangRenewable vs. Gladstone Investment | China DatangRenewable vs. Japan Asia Investment |
CBRE Group vs. United States Steel | CBRE Group vs. EBRO FOODS | CBRE Group vs. Fevertree Drinks PLC | CBRE Group vs. DaChan Food Limited |
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 FinTech Suite module to use AI to screen and filter profitable investment opportunities.
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