Correlation Between Cangzhou Mingzhu and Union Semiconductor
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By analyzing existing cross correlation between Cangzhou Mingzhu Plastic and Union Semiconductor Co, you can compare the effects of market volatilities on Cangzhou Mingzhu and Union Semiconductor 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 Cangzhou Mingzhu with a short position of Union Semiconductor. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cangzhou Mingzhu and Union Semiconductor.
Diversification Opportunities for Cangzhou Mingzhu and Union Semiconductor
0.31 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Cangzhou and Union is 0.31. Overlapping area represents the amount of risk that can be diversified away by holding Cangzhou Mingzhu Plastic and Union Semiconductor Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Union Semiconductor and Cangzhou Mingzhu 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 Cangzhou Mingzhu Plastic are associated (or correlated) with Union Semiconductor. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Union Semiconductor has no effect on the direction of Cangzhou Mingzhu i.e., Cangzhou Mingzhu and Union Semiconductor go up and down completely randomly.
Pair Corralation between Cangzhou Mingzhu and Union Semiconductor
Assuming the 90 days trading horizon Cangzhou Mingzhu Plastic is expected to under-perform the Union Semiconductor. But the stock apears to be less risky and, when comparing its historical volatility, Cangzhou Mingzhu Plastic is 1.64 times less risky than Union Semiconductor. The stock trades about -0.02 of its potential returns per unit of risk. The Union Semiconductor Co is currently generating about -0.01 of returns per unit of risk over similar time horizon. If you would invest 1,170 in Union Semiconductor Co on October 10, 2024 and sell it today you would lose (337.00) from holding Union Semiconductor Co or give up 28.8% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Cangzhou Mingzhu Plastic vs. Union Semiconductor Co
Performance |
Timeline |
Cangzhou Mingzhu Plastic |
Union Semiconductor |
Cangzhou Mingzhu and Union Semiconductor Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Cangzhou Mingzhu and Union Semiconductor
The main advantage of trading using opposite Cangzhou Mingzhu and Union Semiconductor positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cangzhou Mingzhu position performs unexpectedly, Union Semiconductor 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 Union Semiconductor will offset losses from the drop in Union Semiconductor's long position.Cangzhou Mingzhu vs. Xiandai Investment Co | Cangzhou Mingzhu vs. Cultural Investment Holdings | Cangzhou Mingzhu vs. Ningxia Younglight Chemicals | Cangzhou Mingzhu vs. Harbin Hatou Investment |
Union Semiconductor vs. Cangzhou Mingzhu Plastic | Union Semiconductor vs. Suzhou Xingye Material | Union Semiconductor vs. SUNSEA Telecommunications Co | Union Semiconductor vs. Fibocom Wireless |
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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