Correlation Between China Securities and Infore Environment
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By analyzing existing cross correlation between China Securities 800 and Infore Environment Technology, you can compare the effects of market volatilities on China Securities and Infore Environment 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 Securities with a short position of Infore Environment. Check out your portfolio center. Please also check ongoing floating volatility patterns of China Securities and Infore Environment.
Diversification Opportunities for China Securities and Infore Environment
0.49 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between China and Infore is 0.49. Overlapping area represents the amount of risk that can be diversified away by holding China Securities 800 and Infore Environment Technology in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Infore Environment and China Securities 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 Securities 800 are associated (or correlated) with Infore Environment. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Infore Environment has no effect on the direction of China Securities i.e., China Securities and Infore Environment go up and down completely randomly.
Pair Corralation between China Securities and Infore Environment
Assuming the 90 days trading horizon China Securities 800 is expected to under-perform the Infore Environment. But the index apears to be less risky and, when comparing its historical volatility, China Securities 800 is 3.44 times less risky than Infore Environment. The index trades about -0.02 of its potential returns per unit of risk. The Infore Environment Technology is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 514.00 in Infore Environment Technology on December 11, 2024 and sell it today you would earn a total of 64.00 from holding Infore Environment Technology or generate 12.45% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
China Securities 800 vs. Infore Environment Technology
Performance |
Timeline |
China Securities and Infore Environment Volatility Contrast
Predicted Return Density |
Returns |
China Securities 800
Pair trading matchups for China Securities
Infore Environment Technology
Pair trading matchups for Infore Environment
Pair Trading with China Securities and Infore Environment
The main advantage of trading using opposite China Securities and Infore Environment positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if China Securities position performs unexpectedly, Infore Environment 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 Infore Environment will offset losses from the drop in Infore Environment's long position.China Securities vs. APT Medical | China Securities vs. Nanjing Vishee Medical | China Securities vs. Xian International Medical | China Securities vs. Kontour Medical Technology |
Infore Environment vs. Southern PublishingMedia Co | Infore Environment vs. Qtone Education Group | Infore Environment vs. Guangzhou Seagull Kitchen | Infore Environment vs. Chengdu B ray Media |
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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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