Correlation Between Shenzhen Bingchuan and Niutech Environment
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By analyzing existing cross correlation between Shenzhen Bingchuan Network and Niutech Environment Technology, you can compare the effects of market volatilities on Shenzhen Bingchuan and Niutech 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 Shenzhen Bingchuan with a short position of Niutech Environment. Check out your portfolio center. Please also check ongoing floating volatility patterns of Shenzhen Bingchuan and Niutech Environment.
Diversification Opportunities for Shenzhen Bingchuan and Niutech Environment
0.77 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Shenzhen and Niutech is 0.77. Overlapping area represents the amount of risk that can be diversified away by holding Shenzhen Bingchuan Network and Niutech Environment Technology in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Niutech Environment and Shenzhen Bingchuan 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 Shenzhen Bingchuan Network are associated (or correlated) with Niutech Environment. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Niutech Environment has no effect on the direction of Shenzhen Bingchuan i.e., Shenzhen Bingchuan and Niutech Environment go up and down completely randomly.
Pair Corralation between Shenzhen Bingchuan and Niutech Environment
Assuming the 90 days trading horizon Shenzhen Bingchuan Network is expected to generate 1.45 times more return on investment than Niutech Environment. However, Shenzhen Bingchuan is 1.45 times more volatile than Niutech Environment Technology. It trades about 0.1 of its potential returns per unit of risk. Niutech Environment Technology is currently generating about 0.05 per unit of risk. If you would invest 1,401 in Shenzhen Bingchuan Network on September 25, 2024 and sell it today you would earn a total of 693.00 from holding Shenzhen Bingchuan Network or generate 49.46% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 99.18% |
Values | Daily Returns |
Shenzhen Bingchuan Network vs. Niutech Environment Technology
Performance |
Timeline |
Shenzhen Bingchuan |
Niutech Environment |
Shenzhen Bingchuan and Niutech Environment Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Shenzhen Bingchuan and Niutech Environment
The main advantage of trading using opposite Shenzhen Bingchuan and Niutech Environment positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Shenzhen Bingchuan position performs unexpectedly, Niutech 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 Niutech Environment will offset losses from the drop in Niutech Environment's long position.Shenzhen Bingchuan vs. China Life Insurance | Shenzhen Bingchuan vs. Cinda Securities Co | Shenzhen Bingchuan vs. Piotech Inc A | Shenzhen Bingchuan vs. Dongxing Sec Co |
Niutech Environment vs. Shenzhen MYS Environmental | Niutech Environment vs. AVIC Fund Management | Niutech Environment vs. Shenzhen Bingchuan Network | Niutech Environment vs. Penghua Shenzhen Energy |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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