Correlation Between China DatangRenewable and Stag Industrial
Can any of the company-specific risk be diversified away by investing in both China DatangRenewable and Stag Industrial 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 Stag Industrial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between China Datang and Stag Industrial, you can compare the effects of market volatilities on China DatangRenewable and Stag Industrial 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 Stag Industrial. Check out your portfolio center. Please also check ongoing floating volatility patterns of China DatangRenewable and Stag Industrial.
Diversification Opportunities for China DatangRenewable and Stag Industrial
0.44 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between China and Stag is 0.44. Overlapping area represents the amount of risk that can be diversified away by holding China Datang and Stag Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Stag Industrial 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 Stag Industrial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Stag Industrial has no effect on the direction of China DatangRenewable i.e., China DatangRenewable and Stag Industrial go up and down completely randomly.
Pair Corralation between China DatangRenewable and Stag Industrial
Assuming the 90 days horizon China Datang is expected to generate 3.41 times more return on investment than Stag Industrial. However, China DatangRenewable is 3.41 times more volatile than Stag Industrial. It trades about 0.06 of its potential returns per unit of risk. Stag Industrial is currently generating about 0.06 per unit of risk. If you would invest 24.00 in China Datang on December 20, 2024 and sell it today you would earn a total of 2.00 from holding China Datang or generate 8.33% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
China Datang vs. Stag Industrial
Performance |
Timeline |
China DatangRenewable |
Stag Industrial |
China DatangRenewable and Stag Industrial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with China DatangRenewable and Stag Industrial
The main advantage of trading using opposite China DatangRenewable and Stag Industrial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if China DatangRenewable position performs unexpectedly, Stag Industrial 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 Stag Industrial will offset losses from the drop in Stag Industrial's long position.China DatangRenewable vs. Sqs Software Quality | China DatangRenewable vs. Alfa Financial Software | China DatangRenewable vs. Computer And Technologies | China DatangRenewable vs. GBS Software AG |
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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 Equity Analysis module to research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities.
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