Correlation Between Groep Brussel and Compagnie Des
Can any of the company-specific risk be diversified away by investing in both Groep Brussel and Compagnie Des 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 Groep Brussel and Compagnie Des into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Groep Brussel Lambert and Compagnie des Alpes, you can compare the effects of market volatilities on Groep Brussel and Compagnie Des 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 Groep Brussel with a short position of Compagnie Des. Check out your portfolio center. Please also check ongoing floating volatility patterns of Groep Brussel and Compagnie Des.
Diversification Opportunities for Groep Brussel and Compagnie Des
-0.84 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Groep and Compagnie is -0.84. Overlapping area represents the amount of risk that can be diversified away by holding Groep Brussel Lambert and Compagnie des Alpes in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Compagnie des Alpes and Groep Brussel 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 Groep Brussel Lambert are associated (or correlated) with Compagnie Des. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Compagnie des Alpes has no effect on the direction of Groep Brussel i.e., Groep Brussel and Compagnie Des go up and down completely randomly.
Pair Corralation between Groep Brussel and Compagnie Des
Assuming the 90 days trading horizon Groep Brussel Lambert is expected to under-perform the Compagnie Des. But the stock apears to be less risky and, when comparing its historical volatility, Groep Brussel Lambert is 1.28 times less risky than Compagnie Des. The stock trades about -0.07 of its potential returns per unit of risk. The Compagnie des Alpes is currently generating about 0.13 of returns per unit of risk over similar time horizon. If you would invest 1,372 in Compagnie des Alpes on September 14, 2024 and sell it today you would earn a total of 128.00 from holding Compagnie des Alpes or generate 9.33% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Groep Brussel Lambert vs. Compagnie des Alpes
Performance |
Timeline |
Groep Brussel Lambert |
Compagnie des Alpes |
Groep Brussel and Compagnie Des Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Groep Brussel and Compagnie Des
The main advantage of trading using opposite Groep Brussel and Compagnie Des positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Groep Brussel position performs unexpectedly, Compagnie Des 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 Compagnie Des will offset losses from the drop in Compagnie Des' long position.Groep Brussel vs. ageas SANV | Groep Brussel vs. Solvay SA | Groep Brussel vs. Etablissementen Franz Colruyt | Groep Brussel vs. UCB SA |
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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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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