Correlation Between Fidelity Flex and Cm Modity
Can any of the company-specific risk be diversified away by investing in both Fidelity Flex and Cm Modity 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 Fidelity Flex and Cm Modity into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Fidelity Flex Servative and Cm Modity Index, you can compare the effects of market volatilities on Fidelity Flex and Cm Modity 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 Fidelity Flex with a short position of Cm Modity. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fidelity Flex and Cm Modity.
Diversification Opportunities for Fidelity Flex and Cm Modity
0.53 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Fidelity and COMIX is 0.53. Overlapping area represents the amount of risk that can be diversified away by holding Fidelity Flex Servative and Cm Modity Index in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cm Modity Index and Fidelity Flex 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 Fidelity Flex Servative are associated (or correlated) with Cm Modity. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cm Modity Index has no effect on the direction of Fidelity Flex i.e., Fidelity Flex and Cm Modity go up and down completely randomly.
Pair Corralation between Fidelity Flex and Cm Modity
Assuming the 90 days horizon Fidelity Flex Servative is expected to generate 0.1 times more return on investment than Cm Modity. However, Fidelity Flex Servative is 9.97 times less risky than Cm Modity. It trades about 0.28 of its potential returns per unit of risk. Cm Modity Index is currently generating about 0.0 per unit of risk. If you would invest 994.00 in Fidelity Flex Servative on May 13, 2025 and sell it today you would earn a total of 11.00 from holding Fidelity Flex Servative or generate 1.11% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Fidelity Flex Servative vs. Cm Modity Index
Performance |
Timeline |
Fidelity Flex Servative |
Cm Modity Index |
Fidelity Flex and Cm Modity Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Fidelity Flex and Cm Modity
The main advantage of trading using opposite Fidelity Flex and Cm Modity positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fidelity Flex position performs unexpectedly, Cm Modity 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 Cm Modity will offset losses from the drop in Cm Modity's long position.Fidelity Flex vs. Goehring Rozencwajg Resources | Fidelity Flex vs. Franklin Natural Resources | Fidelity Flex vs. Invesco Energy Fund | Fidelity Flex vs. Calvert Global Energy |
Cm Modity vs. Prudential Financial Services | Cm Modity vs. Putnam Global Financials | Cm Modity vs. Financial Industries Fund | Cm Modity vs. Davis Financial Fund |
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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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