Correlation Between Russell 2000 and Fidelity Convertible
Can any of the company-specific risk be diversified away by investing in both Russell 2000 and Fidelity Convertible 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 Russell 2000 and Fidelity Convertible into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Russell 2000 15x and Fidelity Vertible Securities, you can compare the effects of market volatilities on Russell 2000 and Fidelity Convertible 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 Russell 2000 with a short position of Fidelity Convertible. Check out your portfolio center. Please also check ongoing floating volatility patterns of Russell 2000 and Fidelity Convertible.
Diversification Opportunities for Russell 2000 and Fidelity Convertible
0.78 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Russell and Fidelity is 0.78. Overlapping area represents the amount of risk that can be diversified away by holding Russell 2000 15x and Fidelity Vertible Securities in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fidelity Convertible and Russell 2000 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 Russell 2000 15x are associated (or correlated) with Fidelity Convertible. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fidelity Convertible has no effect on the direction of Russell 2000 i.e., Russell 2000 and Fidelity Convertible go up and down completely randomly.
Pair Corralation between Russell 2000 and Fidelity Convertible
Assuming the 90 days horizon Russell 2000 15x is expected to under-perform the Fidelity Convertible. In addition to that, Russell 2000 is 1.34 times more volatile than Fidelity Vertible Securities. It trades about -0.25 of its total potential returns per unit of risk. Fidelity Vertible Securities is currently generating about -0.21 per unit of volatility. If you would invest 3,766 in Fidelity Vertible Securities on October 10, 2024 and sell it today you would lose (245.00) from holding Fidelity Vertible Securities or give up 6.51% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Russell 2000 15x vs. Fidelity Vertible Securities
Performance |
Timeline |
Russell 2000 15x |
Fidelity Convertible |
Russell 2000 and Fidelity Convertible Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Russell 2000 and Fidelity Convertible
The main advantage of trading using opposite Russell 2000 and Fidelity Convertible positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Russell 2000 position performs unexpectedly, Fidelity Convertible 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 Fidelity Convertible will offset losses from the drop in Fidelity Convertible's long position.Russell 2000 vs. Basic Materials Fund | Russell 2000 vs. Basic Materials Fund | Russell 2000 vs. Banking Fund Class | Russell 2000 vs. Basic Materials 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 Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
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