Correlation Between Credit Suisse and Credit Suisse
Can any of the company-specific risk be diversified away by investing in both Credit Suisse 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 Credit Suisse and Credit Suisse into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Credit Suisse Strategic and Credit Suisse Modity, you can compare the effects of market volatilities on Credit Suisse 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 Credit Suisse with a short position of Credit Suisse. Check out your portfolio center. Please also check ongoing floating volatility patterns of Credit Suisse and Credit Suisse.
Diversification Opportunities for Credit Suisse and Credit Suisse
0.5 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Credit and Credit is 0.5. Overlapping area represents the amount of risk that can be diversified away by holding Credit Suisse Strategic and Credit Suisse Modity in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Credit Suisse Modity 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 Strategic 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 Modity has no effect on the direction of Credit Suisse i.e., Credit Suisse and Credit Suisse go up and down completely randomly.
Pair Corralation between Credit Suisse and Credit Suisse
Assuming the 90 days horizon Credit Suisse Strategic is expected to generate 0.14 times more return on investment than Credit Suisse. However, Credit Suisse Strategic is 6.9 times less risky than Credit Suisse. It trades about 0.22 of its potential returns per unit of risk. Credit Suisse Modity is currently generating about -0.02 per unit of risk. If you would invest 952.00 in Credit Suisse Strategic on August 30, 2024 and sell it today you would earn a total of 5.00 from holding Credit Suisse Strategic or generate 0.53% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Credit Suisse Strategic vs. Credit Suisse Modity
Performance |
| Timeline |
| Credit Suisse Strategic |
| Credit Suisse Modity |
Credit Suisse and Credit Suisse Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Credit Suisse and Credit Suisse
The main advantage of trading using opposite Credit Suisse and Credit Suisse positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Credit Suisse 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.| Credit Suisse vs. Precious Metals And | Credit Suisse vs. Gamco Global Gold | Credit Suisse vs. Gold And Precious | Credit Suisse vs. Fidelity Advisor Gold |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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