Correlation Between Contemporary Amperex and Wonders Information
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By analyzing existing cross correlation between Contemporary Amperex Technology and Wonders Information, you can compare the effects of market volatilities on Contemporary Amperex and Wonders Information 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 Contemporary Amperex with a short position of Wonders Information. Check out your portfolio center. Please also check ongoing floating volatility patterns of Contemporary Amperex and Wonders Information.
Diversification Opportunities for Contemporary Amperex and Wonders Information
0.76 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Contemporary and Wonders is 0.76. Overlapping area represents the amount of risk that can be diversified away by holding Contemporary Amperex Technolog and Wonders Information in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Wonders Information and Contemporary Amperex 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 Contemporary Amperex Technology are associated (or correlated) with Wonders Information. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Wonders Information has no effect on the direction of Contemporary Amperex i.e., Contemporary Amperex and Wonders Information go up and down completely randomly.
Pair Corralation between Contemporary Amperex and Wonders Information
Assuming the 90 days trading horizon Contemporary Amperex is expected to generate 1.33 times less return on investment than Wonders Information. But when comparing it to its historical volatility, Contemporary Amperex Technology is 1.62 times less risky than Wonders Information. It trades about 0.02 of its potential returns per unit of risk. Wonders Information is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest 812.00 in Wonders Information on October 4, 2024 and sell it today you would lose (18.00) from holding Wonders Information or give up 2.22% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Contemporary Amperex Technolog vs. Wonders Information
Performance |
Timeline |
Contemporary Amperex |
Wonders Information |
Contemporary Amperex and Wonders Information Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Contemporary Amperex and Wonders Information
The main advantage of trading using opposite Contemporary Amperex and Wonders Information positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Contemporary Amperex position performs unexpectedly, Wonders Information 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 Wonders Information will offset losses from the drop in Wonders Information's long position.Contemporary Amperex vs. PKU HealthCare Corp | Contemporary Amperex vs. Sichuan Newsnet Media | Contemporary Amperex vs. CSSC Offshore Marine | Contemporary Amperex vs. Chengdu B ray Media |
Wonders Information vs. Industrial and Commercial | Wonders Information vs. Agricultural Bank of | Wonders Information vs. China Construction Bank | Wonders Information vs. Bank of China |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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