Correlation Between Atos SE and Gaumont SA
Can any of the company-specific risk be diversified away by investing in both Atos SE and Gaumont SA 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 Atos SE and Gaumont SA into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Atos SE and Gaumont SA, you can compare the effects of market volatilities on Atos SE and Gaumont SA 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 Atos SE with a short position of Gaumont SA. Check out your portfolio center. Please also check ongoing floating volatility patterns of Atos SE and Gaumont SA.
Diversification Opportunities for Atos SE and Gaumont SA
0.2 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Atos and Gaumont is 0.2. Overlapping area represents the amount of risk that can be diversified away by holding Atos SE and Gaumont SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Gaumont SA and Atos SE 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 Atos SE are associated (or correlated) with Gaumont SA. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Gaumont SA has no effect on the direction of Atos SE i.e., Atos SE and Gaumont SA go up and down completely randomly.
Pair Corralation between Atos SE and Gaumont SA
Assuming the 90 days trading horizon Atos SE is expected to generate 4.09 times more return on investment than Gaumont SA. However, Atos SE is 4.09 times more volatile than Gaumont SA. It trades about 0.37 of its potential returns per unit of risk. Gaumont SA is currently generating about 0.18 per unit of risk. If you would invest 0.21 in Atos SE on November 27, 2024 and sell it today you would earn a total of 0.11 from holding Atos SE or generate 52.38% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Atos SE vs. Gaumont SA
Performance |
Timeline |
Atos SE |
Gaumont SA |
Atos SE and Gaumont SA Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Atos SE and Gaumont SA
The main advantage of trading using opposite Atos SE and Gaumont SA positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Atos SE position performs unexpectedly, Gaumont SA 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 Gaumont SA will offset losses from the drop in Gaumont SA's long position.The idea behind Atos SE and Gaumont SA 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.Gaumont SA vs. NRJ Group | Gaumont SA vs. Groupe Partouche SA | Gaumont SA vs. Passat Socit Anonyme | Gaumont SA vs. Jacques Bogart SA |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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