Correlation Between Federated Global and Credit Suisse
Can any of the company-specific risk be diversified away by investing in both Federated Global 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 Federated Global and Credit Suisse into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Federated Global Allocation and Credit Suisse Managed, you can compare the effects of market volatilities on Federated Global 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 Federated Global with a short position of Credit Suisse. Check out your portfolio center. Please also check ongoing floating volatility patterns of Federated Global and Credit Suisse.
Diversification Opportunities for Federated Global and Credit Suisse
0.1 | Correlation Coefficient |
Average diversification
The 3 months correlation between FEDERATED and Credit is 0.1. Overlapping area represents the amount of risk that can be diversified away by holding Federated Global Allocation and Credit Suisse Managed in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Credit Suisse Managed and Federated Global 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 Federated Global Allocation 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 Managed has no effect on the direction of Federated Global i.e., Federated Global and Credit Suisse go up and down completely randomly.
Pair Corralation between Federated Global and Credit Suisse
Assuming the 90 days horizon Federated Global Allocation is expected to generate 1.06 times more return on investment than Credit Suisse. However, Federated Global is 1.06 times more volatile than Credit Suisse Managed. It trades about 0.25 of its potential returns per unit of risk. Credit Suisse Managed is currently generating about -0.03 per unit of risk. If you would invest 2,032 in Federated Global Allocation on May 17, 2025 and sell it today you would earn a total of 89.00 from holding Federated Global Allocation or generate 4.38% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Federated Global Allocation vs. Credit Suisse Managed
Performance |
Timeline |
Federated Global All |
Credit Suisse Managed |
Federated Global and Credit Suisse Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Federated Global and Credit Suisse
The main advantage of trading using opposite Federated Global and Credit Suisse positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Federated Global 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.Federated Global vs. Federated Max Cap Index | Federated Global vs. Federated Kaufmann Fund | Federated Global vs. Federated Strategic Income | Federated Global vs. Federated Bond Fund |
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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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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