Correlation Between SCOR SE and Sopra Steria
Can any of the company-specific risk be diversified away by investing in both SCOR SE and Sopra Steria 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 SCOR SE and Sopra Steria into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SCOR SE and Sopra Steria Group, you can compare the effects of market volatilities on SCOR SE and Sopra Steria 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 SCOR SE with a short position of Sopra Steria. Check out your portfolio center. Please also check ongoing floating volatility patterns of SCOR SE and Sopra Steria.
Diversification Opportunities for SCOR SE and Sopra Steria
-0.41 | Correlation Coefficient |
Very good diversification
The 3 months correlation between SCOR and Sopra is -0.41. Overlapping area represents the amount of risk that can be diversified away by holding SCOR SE and Sopra Steria Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sopra Steria Group and SCOR 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 SCOR SE are associated (or correlated) with Sopra Steria. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sopra Steria Group has no effect on the direction of SCOR SE i.e., SCOR SE and Sopra Steria go up and down completely randomly.
Pair Corralation between SCOR SE and Sopra Steria
Assuming the 90 days trading horizon SCOR SE is expected to generate 0.96 times more return on investment than Sopra Steria. However, SCOR SE is 1.04 times less risky than Sopra Steria. It trades about 0.12 of its potential returns per unit of risk. Sopra Steria Group is currently generating about -0.1 per unit of risk. If you would invest 2,126 in SCOR SE on October 15, 2024 and sell it today you would earn a total of 294.00 from holding SCOR SE or generate 13.83% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
SCOR SE vs. Sopra Steria Group
Performance |
Timeline |
SCOR SE |
Sopra Steria Group |
SCOR SE and Sopra Steria Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SCOR SE and Sopra Steria
The main advantage of trading using opposite SCOR SE and Sopra Steria positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SCOR SE position performs unexpectedly, Sopra Steria 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 Sopra Steria will offset losses from the drop in Sopra Steria's long position.The idea behind SCOR SE and Sopra Steria Group 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.Sopra Steria vs. ACTEOS SA | Sopra Steria vs. Memscap Regpt | Sopra Steria vs. Linedata Services SA | Sopra Steria vs. Lectra 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 ETFs module to find actively traded Exchange Traded Funds (ETF) from around the world.
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