Correlation Between Heidelberg Materials and Compagnie
Can any of the company-specific risk be diversified away by investing in both Heidelberg Materials and Compagnie 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 Compagnie 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 Compagnie de Saint Gobain, you can compare the effects of market volatilities on Heidelberg Materials and Compagnie 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 Compagnie. Check out your portfolio center. Please also check ongoing floating volatility patterns of Heidelberg Materials and Compagnie.
Diversification Opportunities for Heidelberg Materials and Compagnie
0.9 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Heidelberg and Compagnie is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding Heidelberg Materials AG and Compagnie de Saint Gobain in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Compagnie de Saint 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 Compagnie. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Compagnie de Saint has no effect on the direction of Heidelberg Materials i.e., Heidelberg Materials and Compagnie go up and down completely randomly.
Pair Corralation between Heidelberg Materials and Compagnie
Assuming the 90 days horizon Heidelberg Materials AG is expected to generate 1.12 times more return on investment than Compagnie. However, Heidelberg Materials is 1.12 times more volatile than Compagnie de Saint Gobain. It trades about 0.2 of its potential returns per unit of risk. Compagnie de Saint Gobain is currently generating about 0.05 per unit of risk. If you would invest 9,898 in Heidelberg Materials AG on September 22, 2024 and sell it today you would earn a total of 2,137 from holding Heidelberg Materials AG or generate 21.59% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Heidelberg Materials AG vs. Compagnie de Saint Gobain
Performance |
Timeline |
Heidelberg Materials |
Compagnie de Saint |
Heidelberg Materials and Compagnie Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Heidelberg Materials and Compagnie
The main advantage of trading using opposite Heidelberg Materials and Compagnie positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Heidelberg Materials position performs unexpectedly, Compagnie 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 Compagnie will offset losses from the drop in Compagnie's long position.Heidelberg Materials vs. Superior Plus Corp | Heidelberg Materials vs. NMI Holdings | Heidelberg Materials vs. SIVERS SEMICONDUCTORS AB | Heidelberg Materials vs. NorAm Drilling AS |
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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 Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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