Correlation Between Dazhong Transportation and Tongling Nonferrous
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By analyzing existing cross correlation between Dazhong Transportation Group and Tongling Nonferrous Metals, you can compare the effects of market volatilities on Dazhong Transportation and Tongling Nonferrous 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 Dazhong Transportation with a short position of Tongling Nonferrous. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dazhong Transportation and Tongling Nonferrous.
Diversification Opportunities for Dazhong Transportation and Tongling Nonferrous
0.43 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Dazhong and Tongling is 0.43. Overlapping area represents the amount of risk that can be diversified away by holding Dazhong Transportation Group and Tongling Nonferrous Metals in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Tongling Nonferrous and Dazhong Transportation 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 Dazhong Transportation Group are associated (or correlated) with Tongling Nonferrous. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Tongling Nonferrous has no effect on the direction of Dazhong Transportation i.e., Dazhong Transportation and Tongling Nonferrous go up and down completely randomly.
Pair Corralation between Dazhong Transportation and Tongling Nonferrous
Assuming the 90 days trading horizon Dazhong Transportation Group is expected to generate 1.5 times more return on investment than Tongling Nonferrous. However, Dazhong Transportation is 1.5 times more volatile than Tongling Nonferrous Metals. It trades about -0.02 of its potential returns per unit of risk. Tongling Nonferrous Metals is currently generating about -0.06 per unit of risk. If you would invest 23.00 in Dazhong Transportation Group on October 15, 2024 and sell it today you would lose (1.00) from holding Dazhong Transportation Group or give up 4.35% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Dazhong Transportation Group vs. Tongling Nonferrous Metals
Performance |
Timeline |
Dazhong Transportation |
Tongling Nonferrous |
Dazhong Transportation and Tongling Nonferrous Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dazhong Transportation and Tongling Nonferrous
The main advantage of trading using opposite Dazhong Transportation and Tongling Nonferrous positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dazhong Transportation position performs unexpectedly, Tongling Nonferrous 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 Tongling Nonferrous will offset losses from the drop in Tongling Nonferrous' long position.Dazhong Transportation vs. Youngy Health Co | Dazhong Transportation vs. PKU HealthCare Corp | Dazhong Transportation vs. Mingchen Health Co | Dazhong Transportation vs. Zhejiang Kingland Pipeline |
Tongling Nonferrous vs. PKU HealthCare Corp | Tongling Nonferrous vs. Sanbo Hospital Management | Tongling Nonferrous vs. Healthcare Co | Tongling Nonferrous vs. Mingchen Health Co |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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