Correlation Between Seche Environnem and BEBO Health
Can any of the company-specific risk be diversified away by investing in both Seche Environnem and BEBO Health 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 BEBO Health into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Seche Environnem and BEBO Health SA, you can compare the effects of market volatilities on Seche Environnem and BEBO Health 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 BEBO Health. Check out your portfolio center. Please also check ongoing floating volatility patterns of Seche Environnem and BEBO Health.
Diversification Opportunities for Seche Environnem and BEBO Health
0.49 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Seche and BEBO is 0.49. Overlapping area represents the amount of risk that can be diversified away by holding Seche Environnem and BEBO Health SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BEBO Health SA 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 BEBO Health. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BEBO Health SA has no effect on the direction of Seche Environnem i.e., Seche Environnem and BEBO Health go up and down completely randomly.
Pair Corralation between Seche Environnem and BEBO Health
Assuming the 90 days trading horizon Seche Environnem is expected to generate 0.73 times more return on investment than BEBO Health. However, Seche Environnem is 1.38 times less risky than BEBO Health. It trades about -0.15 of its potential returns per unit of risk. BEBO Health SA is currently generating about -0.12 per unit of risk. If you would invest 9,180 in Seche Environnem on September 14, 2024 and sell it today you would lose (1,400) from holding Seche Environnem or give up 15.25% 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. BEBO Health SA
Performance |
Timeline |
Seche Environnem |
BEBO Health SA |
Seche Environnem and BEBO Health Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Seche Environnem and BEBO Health
The main advantage of trading using opposite Seche Environnem and BEBO Health positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Seche Environnem position performs unexpectedly, BEBO Health 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 BEBO Health will offset losses from the drop in BEBO Health's long position.Seche Environnem vs. X Fab Silicon | Seche Environnem vs. Gaztransport Technigaz SAS | Seche Environnem vs. Lexibook Linguistic Electronic | Seche Environnem vs. Fiducial Office Solutions |
BEBO Health vs. Seche Environnem | BEBO Health vs. X Fab Silicon | BEBO Health vs. Fiducial Office Solutions | BEBO Health vs. Linedata Services 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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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