Correlation Between SIG Combibloc and Softwareone Holding
Can any of the company-specific risk be diversified away by investing in both SIG Combibloc and Softwareone Holding 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 SIG Combibloc and Softwareone Holding into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SIG Combibloc Group and Softwareone Holding, you can compare the effects of market volatilities on SIG Combibloc and Softwareone Holding 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 SIG Combibloc with a short position of Softwareone Holding. Check out your portfolio center. Please also check ongoing floating volatility patterns of SIG Combibloc and Softwareone Holding.
Diversification Opportunities for SIG Combibloc and Softwareone Holding
0.15 | Correlation Coefficient |
Average diversification
The 3 months correlation between SIG and Softwareone is 0.15. Overlapping area represents the amount of risk that can be diversified away by holding SIG Combibloc Group and Softwareone Holding in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Softwareone Holding and SIG Combibloc 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 SIG Combibloc Group are associated (or correlated) with Softwareone Holding. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Softwareone Holding has no effect on the direction of SIG Combibloc i.e., SIG Combibloc and Softwareone Holding go up and down completely randomly.
Pair Corralation between SIG Combibloc and Softwareone Holding
Assuming the 90 days trading horizon SIG Combibloc Group is expected to generate 0.3 times more return on investment than Softwareone Holding. However, SIG Combibloc Group is 3.38 times less risky than Softwareone Holding. It trades about 0.08 of its potential returns per unit of risk. Softwareone Holding is currently generating about -0.19 per unit of risk. If you would invest 1,653 in SIG Combibloc Group on September 15, 2024 and sell it today you would earn a total of 134.00 from holding SIG Combibloc Group or generate 8.11% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
SIG Combibloc Group vs. Softwareone Holding
Performance |
Timeline |
SIG Combibloc Group |
Softwareone Holding |
SIG Combibloc and Softwareone Holding Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SIG Combibloc and Softwareone Holding
The main advantage of trading using opposite SIG Combibloc and Softwareone Holding positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SIG Combibloc position performs unexpectedly, Softwareone Holding 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 Softwareone Holding will offset losses from the drop in Softwareone Holding's long position.SIG Combibloc vs. Softwareone Holding | SIG Combibloc vs. Burckhardt Compression | SIG Combibloc vs. Belimo Holding | SIG Combibloc vs. Bachem Holding AG |
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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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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