Correlation Between China DatangRenewable and Superior Plus
Can any of the company-specific risk be diversified away by investing in both China DatangRenewable and Superior Plus 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 Superior Plus into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between China Datang and Superior Plus Corp, you can compare the effects of market volatilities on China DatangRenewable and Superior Plus 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 Superior Plus. Check out your portfolio center. Please also check ongoing floating volatility patterns of China DatangRenewable and Superior Plus.
Diversification Opportunities for China DatangRenewable and Superior Plus
-0.71 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between China and Superior is -0.71. Overlapping area represents the amount of risk that can be diversified away by holding China Datang and Superior Plus Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Superior Plus Corp 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 Superior Plus. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Superior Plus Corp has no effect on the direction of China DatangRenewable i.e., China DatangRenewable and Superior Plus go up and down completely randomly.
Pair Corralation between China DatangRenewable and Superior Plus
Assuming the 90 days horizon China Datang is expected to generate 2.07 times more return on investment than Superior Plus. However, China DatangRenewable is 2.07 times more volatile than Superior Plus Corp. It trades about 0.07 of its potential returns per unit of risk. Superior Plus Corp is currently generating about -0.04 per unit of risk. If you would invest 12.00 in China Datang on September 1, 2024 and sell it today you would earn a total of 11.00 from holding China Datang or generate 91.67% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 99.64% |
Values | Daily Returns |
China Datang vs. Superior Plus Corp
Performance |
Timeline |
China DatangRenewable |
Superior Plus Corp |
China DatangRenewable and Superior Plus Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with China DatangRenewable and Superior Plus
The main advantage of trading using opposite China DatangRenewable and Superior Plus positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if China DatangRenewable position performs unexpectedly, Superior Plus 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 Superior Plus will offset losses from the drop in Superior Plus' long position.China DatangRenewable vs. GungHo Online Entertainment | China DatangRenewable vs. Algonquin Power Utilities | China DatangRenewable vs. MUTUIONLINE | China DatangRenewable vs. United Breweries Co |
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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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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