Correlation Between Zhejiang Kingland and Jiaozuo Wanfang
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By analyzing existing cross correlation between Zhejiang Kingland Pipeline and Jiaozuo Wanfang Aluminum, you can compare the effects of market volatilities on Zhejiang Kingland and Jiaozuo Wanfang 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 Jiaozuo Wanfang. Check out your portfolio center. Please also check ongoing floating volatility patterns of Zhejiang Kingland and Jiaozuo Wanfang.
Diversification Opportunities for Zhejiang Kingland and Jiaozuo Wanfang
0.65 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Zhejiang and Jiaozuo is 0.65. Overlapping area represents the amount of risk that can be diversified away by holding Zhejiang Kingland Pipeline and Jiaozuo Wanfang Aluminum in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Jiaozuo Wanfang Aluminum 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 Jiaozuo Wanfang. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Jiaozuo Wanfang Aluminum has no effect on the direction of Zhejiang Kingland i.e., Zhejiang Kingland and Jiaozuo Wanfang go up and down completely randomly.
Pair Corralation between Zhejiang Kingland and Jiaozuo Wanfang
Assuming the 90 days trading horizon Zhejiang Kingland Pipeline is expected to under-perform the Jiaozuo Wanfang. But the stock apears to be less risky and, when comparing its historical volatility, Zhejiang Kingland Pipeline is 1.17 times less risky than Jiaozuo Wanfang. The stock trades about -0.12 of its potential returns per unit of risk. The Jiaozuo Wanfang Aluminum is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest 653.00 in Jiaozuo Wanfang Aluminum on September 27, 2024 and sell it today you would earn a total of 4.00 from holding Jiaozuo Wanfang Aluminum or generate 0.61% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Zhejiang Kingland Pipeline vs. Jiaozuo Wanfang Aluminum
Performance |
Timeline |
Zhejiang Kingland |
Jiaozuo Wanfang Aluminum |
Zhejiang Kingland and Jiaozuo Wanfang Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Zhejiang Kingland and Jiaozuo Wanfang
The main advantage of trading using opposite Zhejiang Kingland and Jiaozuo Wanfang positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Zhejiang Kingland position performs unexpectedly, Jiaozuo Wanfang 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 Jiaozuo Wanfang will offset losses from the drop in Jiaozuo Wanfang's long position.Zhejiang Kingland vs. Citic Guoan Wine | Zhejiang Kingland vs. Gansu Huangtai Wine marketing | Zhejiang Kingland vs. Wintao Communications Co | Zhejiang Kingland vs. Songz Automobile Air |
Jiaozuo Wanfang vs. Wanhua Chemical Group | Jiaozuo Wanfang vs. Shandong Gold Mining | Jiaozuo Wanfang vs. Rongsheng Petrochemical Co | Jiaozuo Wanfang vs. Inner Mongolia BaoTou |
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 Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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