Correlation Between Short Duration and Credit Suisse
Can any of the company-specific risk be diversified away by investing in both Short Duration 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 Short Duration and Credit Suisse into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Short Duration Inflation and Credit Suisse Multialternative, you can compare the effects of market volatilities on Short Duration 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 Short Duration with a short position of Credit Suisse. Check out your portfolio center. Please also check ongoing floating volatility patterns of Short Duration and Credit Suisse.
Diversification Opportunities for Short Duration and Credit Suisse
-0.68 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Short and Credit is -0.68. Overlapping area represents the amount of risk that can be diversified away by holding Short Duration Inflation and Credit Suisse Multialternative in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Credit Suisse Multia and Short Duration 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 Short Duration Inflation 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 Multia has no effect on the direction of Short Duration i.e., Short Duration and Credit Suisse go up and down completely randomly.
Pair Corralation between Short Duration and Credit Suisse
Assuming the 90 days horizon Short Duration Inflation is expected to generate 0.28 times more return on investment than Credit Suisse. However, Short Duration Inflation is 3.55 times less risky than Credit Suisse. It trades about 0.28 of its potential returns per unit of risk. Credit Suisse Multialternative is currently generating about -0.03 per unit of risk. If you would invest 1,050 in Short Duration Inflation on May 16, 2025 and sell it today you would earn a total of 21.00 from holding Short Duration Inflation or generate 2.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Short Duration Inflation vs. Credit Suisse Multialternative
Performance |
Timeline |
Short Duration Inflation |
Credit Suisse Multia |
Short Duration and Credit Suisse Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Short Duration and Credit Suisse
The main advantage of trading using opposite Short Duration and Credit Suisse positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Short Duration 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.Short Duration vs. Gabelli Global Financial | Short Duration vs. Angel Oak Financial | Short Duration vs. Goldman Sachs Financial | Short Duration vs. Rmb Mendon Financial |
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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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