Correlation Between Zhejiang Kingland and Yoantion Industrial
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By analyzing existing cross correlation between Zhejiang Kingland Pipeline and Yoantion Industrial IncLtd, you can compare the effects of market volatilities on Zhejiang Kingland and Yoantion 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 Zhejiang Kingland with a short position of Yoantion Industrial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Zhejiang Kingland and Yoantion Industrial.
Diversification Opportunities for Zhejiang Kingland and Yoantion Industrial
0.89 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Zhejiang and Yoantion is 0.89. Overlapping area represents the amount of risk that can be diversified away by holding Zhejiang Kingland Pipeline and Yoantion Industrial IncLtd in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Yoantion Industrial 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 Yoantion Industrial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Yoantion Industrial has no effect on the direction of Zhejiang Kingland i.e., Zhejiang Kingland and Yoantion Industrial go up and down completely randomly.
Pair Corralation between Zhejiang Kingland and Yoantion Industrial
Assuming the 90 days trading horizon Zhejiang Kingland is expected to generate 1.41 times less return on investment than Yoantion Industrial. But when comparing it to its historical volatility, Zhejiang Kingland Pipeline is 1.44 times less risky than Yoantion Industrial. It trades about 0.12 of its potential returns per unit of risk. Yoantion Industrial IncLtd is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 1,729 in Yoantion Industrial IncLtd on September 23, 2024 and sell it today you would earn a total of 437.00 from holding Yoantion Industrial IncLtd or generate 25.27% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Zhejiang Kingland Pipeline vs. Yoantion Industrial IncLtd
Performance |
Timeline |
Zhejiang Kingland |
Yoantion Industrial |
Zhejiang Kingland and Yoantion Industrial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Zhejiang Kingland and Yoantion Industrial
The main advantage of trading using opposite Zhejiang Kingland and Yoantion Industrial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Zhejiang Kingland position performs unexpectedly, Yoantion 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 Yoantion Industrial will offset losses from the drop in Yoantion Industrial's long position.Zhejiang Kingland vs. Xiamen Bank Co | Zhejiang Kingland vs. Chengdu B ray Media | Zhejiang Kingland vs. Focus Media Information | Zhejiang Kingland vs. Heilongjiang Publishing Media |
Yoantion Industrial vs. Bank of China | Yoantion Industrial vs. Kweichow Moutai Co | Yoantion Industrial vs. PetroChina Co Ltd | Yoantion Industrial vs. Bank of Communications |
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 Analyzer module to portfolio analysis module that provides access to portfolio diagnostics and optimization engine.
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