Correlation Between Pengxin International and Cangzhou Mingzhu
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By analyzing existing cross correlation between Pengxin International Mining and Cangzhou Mingzhu Plastic, you can compare the effects of market volatilities on Pengxin International and Cangzhou Mingzhu 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 Pengxin International with a short position of Cangzhou Mingzhu. Check out your portfolio center. Please also check ongoing floating volatility patterns of Pengxin International and Cangzhou Mingzhu.
Diversification Opportunities for Pengxin International and Cangzhou Mingzhu
0.47 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Pengxin and Cangzhou is 0.47. Overlapping area represents the amount of risk that can be diversified away by holding Pengxin International Mining and Cangzhou Mingzhu Plastic in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cangzhou Mingzhu Plastic and Pengxin International 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 Pengxin International Mining are associated (or correlated) with Cangzhou Mingzhu. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cangzhou Mingzhu Plastic has no effect on the direction of Pengxin International i.e., Pengxin International and Cangzhou Mingzhu go up and down completely randomly.
Pair Corralation between Pengxin International and Cangzhou Mingzhu
Assuming the 90 days trading horizon Pengxin International Mining is expected to generate 1.71 times more return on investment than Cangzhou Mingzhu. However, Pengxin International is 1.71 times more volatile than Cangzhou Mingzhu Plastic. It trades about 0.03 of its potential returns per unit of risk. Cangzhou Mingzhu Plastic is currently generating about 0.0 per unit of risk. If you would invest 287.00 in Pengxin International Mining on October 5, 2024 and sell it today you would earn a total of 42.00 from holding Pengxin International Mining or generate 14.63% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Pengxin International Mining vs. Cangzhou Mingzhu Plastic
Performance |
Timeline |
Pengxin International |
Cangzhou Mingzhu Plastic |
Pengxin International and Cangzhou Mingzhu Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Pengxin International and Cangzhou Mingzhu
The main advantage of trading using opposite Pengxin International and Cangzhou Mingzhu positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Pengxin International position performs unexpectedly, Cangzhou Mingzhu 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 Cangzhou Mingzhu will offset losses from the drop in Cangzhou Mingzhu's long position.Pengxin International vs. Zijin Mining Group | Pengxin International vs. Wanhua Chemical Group | Pengxin International vs. Baoshan Iron Steel | Pengxin International vs. Rongsheng Petrochemical Co |
Cangzhou Mingzhu vs. Haima Automobile Group | Cangzhou Mingzhu vs. Ningxia Younglight Chemicals | Cangzhou Mingzhu vs. Porton Fine Chemicals | Cangzhou Mingzhu vs. Sinocat Environmental Technology |
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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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