Correlation Between Commodityrealreturn and Credit Suisse
Can any of the company-specific risk be diversified away by investing in both Commodityrealreturn 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 Commodityrealreturn and Credit Suisse into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Commodityrealreturn Strategy Fund and Credit Suisse Modity, you can compare the effects of market volatilities on Commodityrealreturn 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 Commodityrealreturn with a short position of Credit Suisse. Check out your portfolio center. Please also check ongoing floating volatility patterns of Commodityrealreturn and Credit Suisse.
Diversification Opportunities for Commodityrealreturn and Credit Suisse
0.97 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Commodityrealreturn and Credit is 0.97. Overlapping area represents the amount of risk that can be diversified away by holding Commodityrealreturn Strategy F 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 Commodityrealreturn 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 Commodityrealreturn Strategy Fund 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 Commodityrealreturn i.e., Commodityrealreturn and Credit Suisse go up and down completely randomly.
Pair Corralation between Commodityrealreturn and Credit Suisse
Assuming the 90 days horizon Commodityrealreturn Strategy Fund is expected to generate 1.18 times more return on investment than Credit Suisse. However, Commodityrealreturn is 1.18 times more volatile than Credit Suisse Modity. It trades about 0.04 of its potential returns per unit of risk. Credit Suisse Modity is currently generating about -0.03 per unit of risk. If you would invest 1,322 in Commodityrealreturn Strategy Fund on October 8, 2024 and sell it today you would earn a total of 6.00 from holding Commodityrealreturn Strategy Fund or generate 0.45% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Commodityrealreturn Strategy F vs. Credit Suisse Modity
Performance |
Timeline |
Commodityrealreturn |
Credit Suisse Modity |
Commodityrealreturn and Credit Suisse Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Commodityrealreturn and Credit Suisse
The main advantage of trading using opposite Commodityrealreturn and Credit Suisse positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Commodityrealreturn 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.Commodityrealreturn vs. Pimco Moditiesplus Strategy | Commodityrealreturn vs. HUMANA INC | Commodityrealreturn vs. Aquagold International | Commodityrealreturn vs. Barloworld Ltd ADR |
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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 Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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