Correlation Between Eramet SA and Aubay Socit
Can any of the company-specific risk be diversified away by investing in both Eramet SA and Aubay Socit 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 Eramet SA and Aubay Socit into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Eramet SA and Aubay Socit Anonyme, you can compare the effects of market volatilities on Eramet SA and Aubay Socit 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 Eramet SA with a short position of Aubay Socit. Check out your portfolio center. Please also check ongoing floating volatility patterns of Eramet SA and Aubay Socit.
Diversification Opportunities for Eramet SA and Aubay Socit
-0.53 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Eramet and Aubay is -0.53. Overlapping area represents the amount of risk that can be diversified away by holding Eramet SA and Aubay Socit Anonyme in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Aubay Socit Anonyme and Eramet SA 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 Eramet SA are associated (or correlated) with Aubay Socit. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Aubay Socit Anonyme has no effect on the direction of Eramet SA i.e., Eramet SA and Aubay Socit go up and down completely randomly.
Pair Corralation between Eramet SA and Aubay Socit
Assuming the 90 days trading horizon Eramet SA is expected to under-perform the Aubay Socit. In addition to that, Eramet SA is 1.71 times more volatile than Aubay Socit Anonyme. It trades about -0.02 of its total potential returns per unit of risk. Aubay Socit Anonyme is currently generating about 0.0 per unit of volatility. If you would invest 4,553 in Aubay Socit Anonyme on August 30, 2024 and sell it today you would lose (143.00) from holding Aubay Socit Anonyme or give up 3.14% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Eramet SA vs. Aubay Socit Anonyme
Performance |
Timeline |
Eramet SA |
Aubay Socit Anonyme |
Eramet SA and Aubay Socit Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Eramet SA and Aubay Socit
The main advantage of trading using opposite Eramet SA and Aubay Socit positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Eramet SA position performs unexpectedly, Aubay Socit 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 Aubay Socit will offset losses from the drop in Aubay Socit's long position.The idea behind Eramet SA and Aubay Socit Anonyme pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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