Correlation Between Daimler Truck and CHINA HUARONG
Can any of the company-specific risk be diversified away by investing in both Daimler Truck and CHINA HUARONG 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 Daimler Truck and CHINA HUARONG into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Daimler Truck Holding and CHINA HUARONG ENERHD 50, you can compare the effects of market volatilities on Daimler Truck and CHINA HUARONG 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 Daimler Truck with a short position of CHINA HUARONG. Check out your portfolio center. Please also check ongoing floating volatility patterns of Daimler Truck and CHINA HUARONG.
Diversification Opportunities for Daimler Truck and CHINA HUARONG
-0.4 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Daimler and CHINA is -0.4. Overlapping area represents the amount of risk that can be diversified away by holding Daimler Truck Holding and CHINA HUARONG ENERHD 50 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CHINA HUARONG ENERHD and Daimler Truck 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 Daimler Truck Holding are associated (or correlated) with CHINA HUARONG. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CHINA HUARONG ENERHD has no effect on the direction of Daimler Truck i.e., Daimler Truck and CHINA HUARONG go up and down completely randomly.
Pair Corralation between Daimler Truck and CHINA HUARONG
Assuming the 90 days trading horizon Daimler Truck is expected to generate 4.98 times less return on investment than CHINA HUARONG. But when comparing it to its historical volatility, Daimler Truck Holding is 8.01 times less risky than CHINA HUARONG. It trades about 0.03 of its potential returns per unit of risk. CHINA HUARONG ENERHD 50 is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest 0.15 in CHINA HUARONG ENERHD 50 on December 28, 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 | Very Weak |
Accuracy | 98.41% |
Values | Daily Returns |
Daimler Truck Holding vs. CHINA HUARONG ENERHD 50
Performance |
Timeline |
Daimler Truck Holding |
CHINA HUARONG ENERHD |
Daimler Truck and CHINA HUARONG Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Daimler Truck and CHINA HUARONG
The main advantage of trading using opposite Daimler Truck and CHINA HUARONG positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Daimler Truck position performs unexpectedly, CHINA HUARONG 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 CHINA HUARONG will offset losses from the drop in CHINA HUARONG's long position.Daimler Truck vs. THRACE PLASTICS | Daimler Truck vs. SANOK RUBBER ZY | Daimler Truck vs. APPLIED MATERIALS | Daimler Truck vs. Eagle Materials |
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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 Commodity Directory module to find actively traded commodities issued by global exchanges.
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