Correlation Between Heidelberg Materials and Heidelberg Pharma
Can any of the company-specific risk be diversified away by investing in both Heidelberg Materials and Heidelberg Pharma 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 Heidelberg Materials and Heidelberg Pharma into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Heidelberg Materials AG and Heidelberg Pharma AG, you can compare the effects of market volatilities on Heidelberg Materials and Heidelberg Pharma 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 Heidelberg Materials with a short position of Heidelberg Pharma. Check out your portfolio center. Please also check ongoing floating volatility patterns of Heidelberg Materials and Heidelberg Pharma.
Diversification Opportunities for Heidelberg Materials and Heidelberg Pharma
0.49 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Heidelberg and Heidelberg is 0.49. Overlapping area represents the amount of risk that can be diversified away by holding Heidelberg Materials AG and Heidelberg Pharma AG in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Heidelberg Pharma and Heidelberg Materials 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 Heidelberg Materials AG are associated (or correlated) with Heidelberg Pharma. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Heidelberg Pharma has no effect on the direction of Heidelberg Materials i.e., Heidelberg Materials and Heidelberg Pharma go up and down completely randomly.
Pair Corralation between Heidelberg Materials and Heidelberg Pharma
Assuming the 90 days trading horizon Heidelberg Materials AG is expected to generate 1.16 times more return on investment than Heidelberg Pharma. However, Heidelberg Materials is 1.16 times more volatile than Heidelberg Pharma AG. It trades about 0.21 of its potential returns per unit of risk. Heidelberg Pharma AG is currently generating about 0.12 per unit of risk. If you would invest 11,950 in Heidelberg Materials AG on December 26, 2024 and sell it today you would earn a total of 5,660 from holding Heidelberg Materials AG or generate 47.36% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Heidelberg Materials AG vs. Heidelberg Pharma AG
Performance |
Timeline |
Heidelberg Materials |
Heidelberg Pharma |
Heidelberg Materials and Heidelberg Pharma Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Heidelberg Materials and Heidelberg Pharma
The main advantage of trading using opposite Heidelberg Materials and Heidelberg Pharma positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Heidelberg Materials position performs unexpectedly, Heidelberg Pharma 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 Pharma will offset losses from the drop in Heidelberg Pharma's long position.Heidelberg Materials vs. Mitsui Chemicals | Heidelberg Materials vs. Sekisui Chemical Co | Heidelberg Materials vs. Sumitomo Chemical | Heidelberg Materials vs. NISSAN CHEMICAL IND |
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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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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