Correlation Between Credit Suisse and Short Duration
Can any of the company-specific risk be diversified away by investing in both Credit Suisse and Short Duration 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 Short Duration 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 Short Duration Inflation, you can compare the effects of market volatilities on Credit Suisse and Short Duration 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 Short Duration. Check out your portfolio center. Please also check ongoing floating volatility patterns of Credit Suisse and Short Duration.
Diversification Opportunities for Credit Suisse and Short Duration
0.92 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Credit and Short is 0.92. Overlapping area represents the amount of risk that can be diversified away by holding Credit Suisse Multialternative and Short Duration Inflation in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Short Duration Inflation 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 Short Duration. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Short Duration Inflation has no effect on the direction of Credit Suisse i.e., Credit Suisse and Short Duration go up and down completely randomly.
Pair Corralation between Credit Suisse and Short Duration
Assuming the 90 days horizon Credit Suisse Multialternative is expected to under-perform the Short Duration. In addition to that, Credit Suisse is 5.09 times more volatile than Short Duration Inflation. It trades about -0.14 of its total potential returns per unit of risk. Short Duration Inflation is currently generating about -0.15 per unit of volatility. If you would invest 1,052 in Short Duration Inflation on October 9, 2024 and sell it today you would lose (24.00) from holding Short Duration Inflation or give up 2.28% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Credit Suisse Multialternative vs. Short Duration Inflation
Performance |
Timeline |
Credit Suisse Multia |
Short Duration Inflation |
Credit Suisse and Short Duration Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Credit Suisse and Short Duration
The main advantage of trading using opposite Credit Suisse and Short Duration positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Credit Suisse position performs unexpectedly, Short Duration 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 Short Duration will offset losses from the drop in Short Duration's long position.Credit Suisse vs. Guggenheim Diversified Income | Credit Suisse vs. Madison Diversified Income | Credit Suisse vs. Lord Abbett Diversified | Credit Suisse vs. Pgim Conservative Retirement |
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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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