Correlation Between Samse SA and Robertet
Can any of the company-specific risk be diversified away by investing in both Samse SA and Robertet 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 Samse SA and Robertet into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Samse SA and Robertet SA, you can compare the effects of market volatilities on Samse SA and Robertet 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 Samse SA with a short position of Robertet. Check out your portfolio center. Please also check ongoing floating volatility patterns of Samse SA and Robertet.
Diversification Opportunities for Samse SA and Robertet
Very good diversification
The 3 months correlation between Samse and Robertet is -0.35. Overlapping area represents the amount of risk that can be diversified away by holding Samse SA and Robertet SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Robertet SA and Samse 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 Samse SA are associated (or correlated) with Robertet. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Robertet SA has no effect on the direction of Samse SA i.e., Samse SA and Robertet go up and down completely randomly.
Pair Corralation between Samse SA and Robertet
Assuming the 90 days trading horizon Samse SA is expected to generate 0.6 times more return on investment than Robertet. However, Samse SA is 1.66 times less risky than Robertet. It trades about -0.18 of its potential returns per unit of risk. Robertet SA is currently generating about -0.12 per unit of risk. If you would invest 15,000 in Samse SA on August 27, 2024 and sell it today you would lose (550.00) from holding Samse SA or give up 3.67% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Samse SA vs. Robertet SA
Performance |
| Timeline |
| Samse SA |
| Robertet SA |
Samse SA and Robertet Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Samse SA and Robertet
The main advantage of trading using opposite Samse SA and Robertet positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Samse SA position performs unexpectedly, Robertet 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 Robertet will offset losses from the drop in Robertet's long position.The idea behind Samse SA and Robertet 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.| Robertet vs. Grard Perrier Industrie | Robertet vs. Samse SA | Robertet vs. Manitou BF SA | Robertet vs. Ossiam Minimum Variance |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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