Correlation Between Thermador Groupe and Jacques Bogart
Can any of the company-specific risk be diversified away by investing in both Thermador Groupe and Jacques Bogart 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 Thermador Groupe and Jacques Bogart into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Thermador Groupe SA and Jacques Bogart SA, you can compare the effects of market volatilities on Thermador Groupe and Jacques Bogart 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 Thermador Groupe with a short position of Jacques Bogart. Check out your portfolio center. Please also check ongoing floating volatility patterns of Thermador Groupe and Jacques Bogart.
Diversification Opportunities for Thermador Groupe and Jacques Bogart
0.74 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Thermador and Jacques is 0.74. Overlapping area represents the amount of risk that can be diversified away by holding Thermador Groupe SA and Jacques Bogart SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Jacques Bogart SA and Thermador Groupe 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 Thermador Groupe SA are associated (or correlated) with Jacques Bogart. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Jacques Bogart SA has no effect on the direction of Thermador Groupe i.e., Thermador Groupe and Jacques Bogart go up and down completely randomly.
Pair Corralation between Thermador Groupe and Jacques Bogart
Assuming the 90 days trading horizon Thermador Groupe SA is expected to generate 0.63 times more return on investment than Jacques Bogart. However, Thermador Groupe SA is 1.58 times less risky than Jacques Bogart. It trades about -0.11 of its potential returns per unit of risk. Jacques Bogart SA is currently generating about -0.08 per unit of risk. If you would invest 7,760 in Thermador Groupe SA on September 3, 2024 and sell it today you would lose (810.00) from holding Thermador Groupe SA or give up 10.44% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Thermador Groupe SA vs. Jacques Bogart SA
Performance |
Timeline |
Thermador Groupe |
Jacques Bogart SA |
Thermador Groupe and Jacques Bogart Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Thermador Groupe and Jacques Bogart
The main advantage of trading using opposite Thermador Groupe and Jacques Bogart positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Thermador Groupe position performs unexpectedly, Jacques Bogart 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 Jacques Bogart will offset losses from the drop in Jacques Bogart's long position.Thermador Groupe vs. Stef SA | Thermador Groupe vs. Robertet SA | Thermador Groupe vs. Grard Perrier Industrie | Thermador Groupe vs. Aubay Socit Anonyme |
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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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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