Correlation Between X FAB and Heidelberg Materials
Can any of the company-specific risk be diversified away by investing in both X FAB 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 X FAB and Heidelberg Materials into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between X FAB Silicon Foundries and Heidelberg Materials AG, you can compare the effects of market volatilities on X FAB 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 X FAB with a short position of Heidelberg Materials. Check out your portfolio center. Please also check ongoing floating volatility patterns of X FAB and Heidelberg Materials.
Diversification Opportunities for X FAB and Heidelberg Materials
-0.29 | Correlation Coefficient |
Very good diversification
The 3 months correlation between XFB and Heidelberg is -0.29. Overlapping area represents the amount of risk that can be diversified away by holding X FAB Silicon Foundries and Heidelberg Materials AG in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Heidelberg Materials and X FAB 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 X FAB Silicon Foundries 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 X FAB i.e., X FAB and Heidelberg Materials go up and down completely randomly.
Pair Corralation between X FAB and Heidelberg Materials
Assuming the 90 days trading horizon X FAB Silicon Foundries is expected to under-perform the Heidelberg Materials. But the stock apears to be less risky and, when comparing its historical volatility, X FAB Silicon Foundries is 1.18 times less risky than Heidelberg Materials. The stock trades about -0.06 of its potential returns per unit of risk. The Heidelberg Materials AG is currently generating about 0.14 of returns per unit of risk over similar time horizon. If you would invest 12,675 in Heidelberg Materials AG on December 11, 2024 and sell it today you would earn a total of 3,090 from holding Heidelberg Materials AG or generate 24.38% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
X FAB Silicon Foundries vs. Heidelberg Materials AG
Performance |
Timeline |
X FAB Silicon |
Heidelberg Materials |
X FAB and Heidelberg Materials Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with X FAB and Heidelberg Materials
The main advantage of trading using opposite X FAB and Heidelberg Materials positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if X FAB 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.X FAB vs. Television Broadcasts Limited | X FAB vs. NORDHEALTH AS NK | X FAB vs. Japan Tobacco | X FAB vs. MPH Health Care |
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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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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