Correlation Between Centrale DAchat and Barbara Bui
Can any of the company-specific risk be diversified away by investing in both Centrale DAchat and Barbara Bui 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 Centrale DAchat and Barbara Bui into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Centrale dAchat Franaise and Barbara Bui SA, you can compare the effects of market volatilities on Centrale DAchat and Barbara Bui 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 Centrale DAchat with a short position of Barbara Bui. Check out your portfolio center. Please also check ongoing floating volatility patterns of Centrale DAchat and Barbara Bui.
Diversification Opportunities for Centrale DAchat and Barbara Bui
0.38 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Centrale and Barbara is 0.38. Overlapping area represents the amount of risk that can be diversified away by holding Centrale dAchat Franaise and Barbara Bui SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Barbara Bui SA and Centrale DAchat 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 Centrale dAchat Franaise are associated (or correlated) with Barbara Bui. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Barbara Bui SA has no effect on the direction of Centrale DAchat i.e., Centrale DAchat and Barbara Bui go up and down completely randomly.
Pair Corralation between Centrale DAchat and Barbara Bui
Assuming the 90 days trading horizon Centrale dAchat Franaise is expected to generate 0.48 times more return on investment than Barbara Bui. However, Centrale dAchat Franaise is 2.08 times less risky than Barbara Bui. It trades about 0.0 of its potential returns per unit of risk. Barbara Bui SA is currently generating about -0.15 per unit of risk. If you would invest 800.00 in Centrale dAchat Franaise on September 14, 2024 and sell it today you would lose (4.00) from holding Centrale dAchat Franaise or give up 0.5% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Centrale dAchat Franaise vs. Barbara Bui SA
Performance |
Timeline |
Centrale dAchat Franaise |
Barbara Bui SA |
Centrale DAchat and Barbara Bui Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Centrale DAchat and Barbara Bui
The main advantage of trading using opposite Centrale DAchat and Barbara Bui positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Centrale DAchat position performs unexpectedly, Barbara Bui 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 Barbara Bui will offset losses from the drop in Barbara Bui's long position.Centrale DAchat vs. Vente Unique | Centrale DAchat vs. Groupe Sfpi | Centrale DAchat vs. Cegedim SA | Centrale DAchat vs. SA Catana Group |
Barbara Bui vs. ACTEOS SA | Barbara Bui vs. ST Dupont | Barbara Bui vs. Augros Cosmetic Packaging | Barbara Bui vs. BigBen Interactive |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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