Correlation Between CHINA HUARONG and Daimler Truck
Can any of the company-specific risk be diversified away by investing in both CHINA HUARONG and Daimler Truck at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining CHINA HUARONG and Daimler Truck into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CHINA HUARONG ENERHD 50 and Daimler Truck Holding, you can compare the effects of market volatilities on CHINA HUARONG and Daimler Truck 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 CHINA HUARONG with a short position of Daimler Truck. Check out your portfolio center. Please also check ongoing floating volatility patterns of CHINA HUARONG and Daimler Truck.
Diversification Opportunities for CHINA HUARONG and Daimler Truck
-0.32 | Correlation Coefficient |
Very good diversification
The 3 months correlation between CHINA and Daimler is -0.32. Overlapping area represents the amount of risk that can be diversified away by holding CHINA HUARONG ENERHD 50 and Daimler Truck Holding in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Daimler Truck Holding and CHINA HUARONG 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 CHINA HUARONG ENERHD 50 are associated (or correlated) with Daimler Truck. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Daimler Truck Holding has no effect on the direction of CHINA HUARONG i.e., CHINA HUARONG and Daimler Truck go up and down completely randomly.
Pair Corralation between CHINA HUARONG and Daimler Truck
Assuming the 90 days trading horizon CHINA HUARONG ENERHD 50 is expected to generate 7.94 times more return on investment than Daimler Truck. However, CHINA HUARONG is 7.94 times more volatile than Daimler Truck Holding. It trades about 0.02 of its potential returns per unit of risk. Daimler Truck Holding is currently generating about 0.03 per unit of risk. If you would invest 0.15 in CHINA HUARONG ENERHD 50 on December 30, 2024 and sell it today you would lose (0.10) from holding CHINA HUARONG ENERHD 50 or give up 66.67% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
CHINA HUARONG ENERHD 50 vs. Daimler Truck Holding
Performance |
Timeline |
CHINA HUARONG ENERHD |
Daimler Truck Holding |
CHINA HUARONG and Daimler Truck Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CHINA HUARONG and Daimler Truck
The main advantage of trading using opposite CHINA HUARONG and Daimler Truck positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CHINA HUARONG position performs unexpectedly, Daimler Truck 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 Daimler Truck will offset losses from the drop in Daimler Truck's long position.CHINA HUARONG vs. Aya Gold Silver | CHINA HUARONG vs. ANGLO ASIAN MINING | CHINA HUARONG vs. MCEWEN MINING INC | CHINA HUARONG vs. Taylor Morrison Home |
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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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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