Correlation Between CHINA HUARONG and Heidelberg Materials
Can any of the company-specific risk be diversified away by investing in both CHINA HUARONG and Heidelberg Materials 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 Heidelberg Materials 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 Heidelberg Materials AG, you can compare the effects of market volatilities on CHINA HUARONG and Heidelberg Materials 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 Heidelberg Materials. Check out your portfolio center. Please also check ongoing floating volatility patterns of CHINA HUARONG and Heidelberg Materials.
Diversification Opportunities for CHINA HUARONG and Heidelberg Materials
-0.68 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between CHINA and Heidelberg is -0.68. Overlapping area represents the amount of risk that can be diversified away by holding CHINA HUARONG ENERHD 50 and Heidelberg Materials AG in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Heidelberg Materials 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 Heidelberg Materials. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Heidelberg Materials has no effect on the direction of CHINA HUARONG i.e., CHINA HUARONG and Heidelberg Materials go up and down completely randomly.
Pair Corralation between CHINA HUARONG and Heidelberg Materials
Assuming the 90 days trading horizon CHINA HUARONG is expected to generate 1.46 times less return on investment than Heidelberg Materials. In addition to that, CHINA HUARONG is 5.09 times more volatile than Heidelberg Materials AG. It trades about 0.02 of its total potential returns per unit of risk. Heidelberg Materials AG is currently generating about 0.14 per unit of volatility. If you would invest 11,965 in Heidelberg Materials AG on December 30, 2024 and sell it today you would earn a total of 4,330 from holding Heidelberg Materials AG or generate 36.19% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
CHINA HUARONG ENERHD 50 vs. Heidelberg Materials AG
Performance |
Timeline |
CHINA HUARONG ENERHD |
Heidelberg Materials |
CHINA HUARONG and Heidelberg Materials Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CHINA HUARONG and Heidelberg Materials
The main advantage of trading using opposite CHINA HUARONG and Heidelberg Materials positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CHINA HUARONG position performs unexpectedly, Heidelberg Materials 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 Heidelberg Materials will offset losses from the drop in Heidelberg Materials' 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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