Correlation Between Multisector Bond and Credit Suisse
Can any of the company-specific risk be diversified away by investing in both Multisector Bond 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 Multisector Bond and Credit Suisse into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Multisector Bond Sma and Credit Suisse Managed, you can compare the effects of market volatilities on Multisector Bond 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 Multisector Bond with a short position of Credit Suisse. Check out your portfolio center. Please also check ongoing floating volatility patterns of Multisector Bond and Credit Suisse.
Diversification Opportunities for Multisector Bond and Credit Suisse
-0.3 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Multisector and Credit is -0.3. Overlapping area represents the amount of risk that can be diversified away by holding Multisector Bond Sma 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 Multisector Bond 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 Multisector Bond Sma 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 Multisector Bond i.e., Multisector Bond and Credit Suisse go up and down completely randomly.
Pair Corralation between Multisector Bond and Credit Suisse
Assuming the 90 days horizon Multisector Bond Sma is expected to generate 0.71 times more return on investment than Credit Suisse. However, Multisector Bond Sma is 1.41 times less risky than Credit Suisse. It trades about 0.26 of its potential returns per unit of risk. Credit Suisse Managed is currently generating about 0.02 per unit of risk. If you would invest 1,366 in Multisector Bond Sma on May 27, 2025 and sell it today you would earn a total of 60.00 from holding Multisector Bond Sma or generate 4.39% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Multisector Bond Sma vs. Credit Suisse Managed
Performance |
Timeline |
Multisector Bond Sma |
Credit Suisse Managed |
Multisector Bond and Credit Suisse Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Multisector Bond and Credit Suisse
The main advantage of trading using opposite Multisector Bond and Credit Suisse positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Multisector Bond 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.Multisector Bond vs. Global Resources Fund | Multisector Bond vs. Fidelity Advisor Energy | Multisector Bond vs. Icon Natural Resources | Multisector Bond vs. Calvert Global Energy |
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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