Correlation Between Credit Suisse and Flexible Bond
Can any of the company-specific risk be diversified away by investing in both Credit Suisse and Flexible Bond 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 Credit Suisse and Flexible Bond into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Credit Suisse Multialternative and Flexible Bond Portfolio, you can compare the effects of market volatilities on Credit Suisse and Flexible Bond 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 Credit Suisse with a short position of Flexible Bond. Check out your portfolio center. Please also check ongoing floating volatility patterns of Credit Suisse and Flexible Bond.
Diversification Opportunities for Credit Suisse and Flexible Bond
-0.4 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Credit and Flexible is -0.4. Overlapping area represents the amount of risk that can be diversified away by holding Credit Suisse Multialternative and Flexible Bond Portfolio in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Flexible Bond Portfolio and Credit Suisse 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 Credit Suisse Multialternative are associated (or correlated) with Flexible Bond. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Flexible Bond Portfolio has no effect on the direction of Credit Suisse i.e., Credit Suisse and Flexible Bond go up and down completely randomly.
Pair Corralation between Credit Suisse and Flexible Bond
Assuming the 90 days horizon Credit Suisse Multialternative is expected to under-perform the Flexible Bond. In addition to that, Credit Suisse is 1.27 times more volatile than Flexible Bond Portfolio. It trades about -0.07 of its total potential returns per unit of risk. Flexible Bond Portfolio is currently generating about 0.07 per unit of volatility. If you would invest 973.00 in Flexible Bond Portfolio on April 25, 2025 and sell it today you would earn a total of 11.00 from holding Flexible Bond Portfolio or generate 1.13% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Credit Suisse Multialternative vs. Flexible Bond Portfolio
Performance |
Timeline |
Credit Suisse Multia |
Flexible Bond Portfolio |
Credit Suisse and Flexible Bond Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Credit Suisse and Flexible Bond
The main advantage of trading using opposite Credit Suisse and Flexible Bond positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Credit Suisse position performs unexpectedly, Flexible Bond 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 Flexible Bond will offset losses from the drop in Flexible Bond's long position.Credit Suisse vs. Gamco Global Telecommunications | Credit Suisse vs. Bbh Intermediate Municipal | Credit Suisse vs. Franklin Government Securities | Credit Suisse vs. Hawaii Municipal Bond |
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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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