Correlation Between Pace Small/medium and Credit Suisse
Can any of the company-specific risk be diversified away by investing in both Pace Small/medium 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 Pace Small/medium and Credit Suisse into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Pace Smallmedium Growth and Credit Suisse Managed, you can compare the effects of market volatilities on Pace Small/medium 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 Pace Small/medium with a short position of Credit Suisse. Check out your portfolio center. Please also check ongoing floating volatility patterns of Pace Small/medium and Credit Suisse.
Diversification Opportunities for Pace Small/medium and Credit Suisse
-0.05 | Correlation Coefficient |
Good diversification
The 3 months correlation between Pace and Credit is -0.05. Overlapping area represents the amount of risk that can be diversified away by holding Pace Smallmedium Growth 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 Pace Small/medium 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 Pace Smallmedium Growth 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 Pace Small/medium i.e., Pace Small/medium and Credit Suisse go up and down completely randomly.
Pair Corralation between Pace Small/medium and Credit Suisse
Assuming the 90 days horizon Pace Smallmedium Growth is expected to under-perform the Credit Suisse. In addition to that, Pace Small/medium is 1.92 times more volatile than Credit Suisse Managed. It trades about -0.12 of its total potential returns per unit of risk. Credit Suisse Managed is currently generating about 0.05 per unit of volatility. If you would invest 841.00 in Credit Suisse Managed on December 28, 2024 and sell it today you would earn a total of 16.00 from holding Credit Suisse Managed or generate 1.9% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.36% |
Values | Daily Returns |
Pace Smallmedium Growth vs. Credit Suisse Managed
Performance |
Timeline |
Pace Smallmedium Growth |
Credit Suisse Managed |
Pace Small/medium and Credit Suisse Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Pace Small/medium and Credit Suisse
The main advantage of trading using opposite Pace Small/medium and Credit Suisse positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Pace Small/medium 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.Pace Small/medium vs. Sa Emerging Markets | Pace Small/medium vs. Transamerica Emerging Markets | Pace Small/medium vs. Fidelity Series Emerging | Pace Small/medium vs. Virtus Emerging Markets |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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