Correlation Between Zhejiang Kingland and Jiangsu Seagull
Specify exactly 2 symbols:
By analyzing existing cross correlation between Zhejiang Kingland Pipeline and Jiangsu Seagull Cooling, you can compare the effects of market volatilities on Zhejiang Kingland and Jiangsu Seagull 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 Zhejiang Kingland with a short position of Jiangsu Seagull. Check out your portfolio center. Please also check ongoing floating volatility patterns of Zhejiang Kingland and Jiangsu Seagull.
Diversification Opportunities for Zhejiang Kingland and Jiangsu Seagull
-0.27 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Zhejiang and Jiangsu is -0.27. Overlapping area represents the amount of risk that can be diversified away by holding Zhejiang Kingland Pipeline and Jiangsu Seagull Cooling in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Jiangsu Seagull Cooling and Zhejiang Kingland 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 Zhejiang Kingland Pipeline are associated (or correlated) with Jiangsu Seagull. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Jiangsu Seagull Cooling has no effect on the direction of Zhejiang Kingland i.e., Zhejiang Kingland and Jiangsu Seagull go up and down completely randomly.
Pair Corralation between Zhejiang Kingland and Jiangsu Seagull
Assuming the 90 days trading horizon Zhejiang Kingland is expected to generate 5.37 times less return on investment than Jiangsu Seagull. But when comparing it to its historical volatility, Zhejiang Kingland Pipeline is 4.71 times less risky than Jiangsu Seagull. It trades about 0.05 of its potential returns per unit of risk. Jiangsu Seagull Cooling is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 1,068 in Jiangsu Seagull Cooling on December 27, 2024 and sell it today you would earn a total of 107.00 from holding Jiangsu Seagull Cooling or generate 10.02% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.28% |
Values | Daily Returns |
Zhejiang Kingland Pipeline vs. Jiangsu Seagull Cooling
Performance |
Timeline |
Zhejiang Kingland |
Jiangsu Seagull Cooling |
Zhejiang Kingland and Jiangsu Seagull Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Zhejiang Kingland and Jiangsu Seagull
The main advantage of trading using opposite Zhejiang Kingland and Jiangsu Seagull positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Zhejiang Kingland position performs unexpectedly, Jiangsu Seagull 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 Jiangsu Seagull will offset losses from the drop in Jiangsu Seagull's long position.Zhejiang Kingland vs. Fujian Longzhou Transportation | Zhejiang Kingland vs. Heilongjiang Transport Development | Zhejiang Kingland vs. Shenzhen Urban Transport | Zhejiang Kingland vs. Sportsoul Co Ltd |
Jiangsu Seagull vs. Everjoy Health Group | Jiangsu Seagull vs. Tibet Huayu Mining | Jiangsu Seagull vs. China Minmetals Rare | Jiangsu Seagull vs. Shanghai CEO Environmental |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
Other Complementary Tools
Stocks Directory Find actively traded stocks across global markets | |
Bollinger Bands Use Bollinger Bands indicator to analyze target price for a given investing horizon | |
Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
Headlines Timeline Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity | |
Portfolio Analyzer Portfolio analysis module that provides access to portfolio diagnostics and optimization engine |