Correlation Between Sartorius Stedim and Capgemini
Can any of the company-specific risk be diversified away by investing in both Sartorius Stedim and Capgemini 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 Sartorius Stedim and Capgemini into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sartorius Stedim Biotech and Capgemini SE, you can compare the effects of market volatilities on Sartorius Stedim and Capgemini 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 Sartorius Stedim with a short position of Capgemini. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sartorius Stedim and Capgemini.
Diversification Opportunities for Sartorius Stedim and Capgemini
0.24 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Sartorius and Capgemini is 0.24. Overlapping area represents the amount of risk that can be diversified away by holding Sartorius Stedim Biotech and Capgemini SE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Capgemini SE and Sartorius Stedim 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 Sartorius Stedim Biotech are associated (or correlated) with Capgemini. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Capgemini SE has no effect on the direction of Sartorius Stedim i.e., Sartorius Stedim and Capgemini go up and down completely randomly.
Pair Corralation between Sartorius Stedim and Capgemini
Assuming the 90 days trading horizon Sartorius Stedim Biotech is expected to generate 1.77 times more return on investment than Capgemini. However, Sartorius Stedim is 1.77 times more volatile than Capgemini SE. It trades about 0.04 of its potential returns per unit of risk. Capgemini SE is currently generating about -0.17 per unit of risk. If you would invest 17,375 in Sartorius Stedim Biotech on August 31, 2024 and sell it today you would earn a total of 735.00 from holding Sartorius Stedim Biotech or generate 4.23% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Sartorius Stedim Biotech vs. Capgemini SE
Performance |
Timeline |
Sartorius Stedim Biotech |
Capgemini SE |
Sartorius Stedim and Capgemini Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sartorius Stedim and Capgemini
The main advantage of trading using opposite Sartorius Stedim and Capgemini positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sartorius Stedim position performs unexpectedly, Capgemini 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 Capgemini will offset losses from the drop in Capgemini's long position.Sartorius Stedim vs. Eurofins Scientific SE | Sartorius Stedim vs. Teleperformance SE | Sartorius Stedim vs. Biomerieux SA | Sartorius Stedim vs. Dassault Systemes SE |
Capgemini vs. Atos SE | Capgemini vs. Compagnie de Saint Gobain | Capgemini vs. Pernod Ricard SA | Capgemini vs. Bouygues 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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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