Correlation Between Seche Environnem and Thermador Groupe
Can any of the company-specific risk be diversified away by investing in both Seche Environnem and Thermador Groupe 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 Seche Environnem and Thermador Groupe into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Seche Environnem and Thermador Groupe SA, you can compare the effects of market volatilities on Seche Environnem and Thermador Groupe 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 Seche Environnem with a short position of Thermador Groupe. Check out your portfolio center. Please also check ongoing floating volatility patterns of Seche Environnem and Thermador Groupe.
Diversification Opportunities for Seche Environnem and Thermador Groupe
0.58 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Seche and Thermador is 0.58. Overlapping area represents the amount of risk that can be diversified away by holding Seche Environnem and Thermador Groupe SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Thermador Groupe and Seche Environnem 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 Seche Environnem are associated (or correlated) with Thermador Groupe. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Thermador Groupe has no effect on the direction of Seche Environnem i.e., Seche Environnem and Thermador Groupe go up and down completely randomly.
Pair Corralation between Seche Environnem and Thermador Groupe
Assuming the 90 days trading horizon Seche Environnem is expected to under-perform the Thermador Groupe. In addition to that, Seche Environnem is 1.04 times more volatile than Thermador Groupe SA. It trades about -0.08 of its total potential returns per unit of risk. Thermador Groupe SA is currently generating about -0.06 per unit of volatility. If you would invest 7,600 in Thermador Groupe SA on October 7, 2024 and sell it today you would lose (500.00) from holding Thermador Groupe SA or give up 6.58% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Seche Environnem vs. Thermador Groupe SA
Performance |
Timeline |
Seche Environnem |
Thermador Groupe |
Seche Environnem and Thermador Groupe Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Seche Environnem and Thermador Groupe
The main advantage of trading using opposite Seche Environnem and Thermador Groupe positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Seche Environnem position performs unexpectedly, Thermador Groupe 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 Thermador Groupe will offset losses from the drop in Thermador Groupe's long position.Seche Environnem vs. Veolia Environnement VE | Seche Environnem vs. Union Technologies Informatique | Seche Environnem vs. Technip Energies BV | Seche Environnem vs. Hitechpros |
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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 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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