Correlation Between Bbh Intermediate and Credit Suisse
Can any of the company-specific risk be diversified away by investing in both Bbh Intermediate and Credit Suisse 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 Bbh Intermediate and Credit Suisse into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bbh Intermediate Municipal and Credit Suisse Managed, you can compare the effects of market volatilities on Bbh Intermediate and Credit Suisse 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 Bbh Intermediate with a short position of Credit Suisse. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bbh Intermediate and Credit Suisse.
Diversification Opportunities for Bbh Intermediate and Credit Suisse
0.5 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Bbh and Credit is 0.5. Overlapping area represents the amount of risk that can be diversified away by holding Bbh Intermediate Municipal and Credit Suisse Managed in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Credit Suisse Managed and Bbh Intermediate 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 Bbh Intermediate Municipal are associated (or correlated) with Credit Suisse. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Credit Suisse Managed has no effect on the direction of Bbh Intermediate i.e., Bbh Intermediate and Credit Suisse go up and down completely randomly.
Pair Corralation between Bbh Intermediate and Credit Suisse
Assuming the 90 days horizon Bbh Intermediate Municipal is expected to generate 0.3 times more return on investment than Credit Suisse. However, Bbh Intermediate Municipal is 3.33 times less risky than Credit Suisse. It trades about 0.05 of its potential returns per unit of risk. Credit Suisse Managed is currently generating about -0.1 per unit of risk. If you would invest 1,033 in Bbh Intermediate Municipal on September 5, 2024 and sell it today you would earn a total of 6.00 from holding Bbh Intermediate Municipal or generate 0.58% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Bbh Intermediate Municipal vs. Credit Suisse Managed
Performance |
Timeline |
Bbh Intermediate Mun |
Credit Suisse Managed |
Bbh Intermediate and Credit Suisse Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bbh Intermediate and Credit Suisse
The main advantage of trading using opposite Bbh Intermediate and Credit Suisse positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bbh Intermediate position performs unexpectedly, Credit Suisse 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 Credit Suisse will offset losses from the drop in Credit Suisse's long position.Bbh Intermediate vs. Fidelity Advisor Energy | Bbh Intermediate vs. Dreyfus Natural Resources | Bbh Intermediate vs. Icon Natural Resources | Bbh Intermediate vs. Invesco Energy Fund |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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