Correlation Between Credit Suisse and Cref Inflation
Can any of the company-specific risk be diversified away by investing in both Credit Suisse and Cref Inflation 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 Cref Inflation 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 Cref Inflation Linked Bond, you can compare the effects of market volatilities on Credit Suisse and Cref Inflation 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 Cref Inflation. Check out your portfolio center. Please also check ongoing floating volatility patterns of Credit Suisse and Cref Inflation.
Diversification Opportunities for Credit Suisse and Cref Inflation
0.32 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Credit and Cref is 0.32. Overlapping area represents the amount of risk that can be diversified away by holding Credit Suisse Multialternative and Cref Inflation Linked Bond in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cref Inflation Linked 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 Cref Inflation. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cref Inflation Linked has no effect on the direction of Credit Suisse i.e., Credit Suisse and Cref Inflation go up and down completely randomly.
Pair Corralation between Credit Suisse and Cref Inflation
Assuming the 90 days horizon Credit Suisse Multialternative is expected to under-perform the Cref Inflation. In addition to that, Credit Suisse is 3.3 times more volatile than Cref Inflation Linked Bond. It trades about -0.04 of its total potential returns per unit of risk. Cref Inflation Linked Bond is currently generating about 0.48 per unit of volatility. If you would invest 8,773 in Cref Inflation Linked Bond on April 10, 2025 and sell it today you would earn a total of 120.00 from holding Cref Inflation Linked Bond or generate 1.37% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 95.24% |
Values | Daily Returns |
Credit Suisse Multialternative vs. Cref Inflation Linked Bond
Performance |
Timeline |
Credit Suisse Multia |
Cref Inflation Linked |
Credit Suisse and Cref Inflation Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Credit Suisse and Cref Inflation
The main advantage of trading using opposite Credit Suisse and Cref Inflation positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Credit Suisse position performs unexpectedly, Cref Inflation 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 Cref Inflation will offset losses from the drop in Cref Inflation's long position.Credit Suisse vs. Aew Real Estate | Credit Suisse vs. Baron Real Estate | Credit Suisse vs. Principal Real Estate | Credit Suisse vs. Fidelity Real Estate |
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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 Bollinger Bands module to use Bollinger Bands indicator to analyze target price for a given investing horizon.
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