Correlation Between Invesco Gold and Fidelity Municipal
Can any of the company-specific risk be diversified away by investing in both Invesco Gold and Fidelity Municipal 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 Invesco Gold and Fidelity Municipal into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Invesco Gold Special and Fidelity Municipal Income, you can compare the effects of market volatilities on Invesco Gold and Fidelity Municipal 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 Invesco Gold with a short position of Fidelity Municipal. Check out your portfolio center. Please also check ongoing floating volatility patterns of Invesco Gold and Fidelity Municipal.
Diversification Opportunities for Invesco Gold and Fidelity Municipal
0.67 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Invesco and Fidelity is 0.67. Overlapping area represents the amount of risk that can be diversified away by holding Invesco Gold Special and Fidelity Municipal Income in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fidelity Municipal Income and Invesco Gold 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 Invesco Gold Special are associated (or correlated) with Fidelity Municipal. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fidelity Municipal Income has no effect on the direction of Invesco Gold i.e., Invesco Gold and Fidelity Municipal go up and down completely randomly.
Pair Corralation between Invesco Gold and Fidelity Municipal
Assuming the 90 days horizon Invesco Gold Special is expected to generate 1.83 times more return on investment than Fidelity Municipal. However, Invesco Gold is 1.83 times more volatile than Fidelity Municipal Income. It trades about 0.25 of its potential returns per unit of risk. Fidelity Municipal Income is currently generating about 0.05 per unit of risk. If you would invest 2,561 in Invesco Gold Special on December 30, 2024 and sell it today you would earn a total of 712.00 from holding Invesco Gold Special or generate 27.8% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Invesco Gold Special vs. Fidelity Municipal Income
Performance |
Timeline |
Invesco Gold Special |
Fidelity Municipal Income |
Invesco Gold and Fidelity Municipal Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Invesco Gold and Fidelity Municipal
The main advantage of trading using opposite Invesco Gold and Fidelity Municipal positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Invesco Gold position performs unexpectedly, Fidelity Municipal 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 Municipal will offset losses from the drop in Fidelity Municipal's long position.Invesco Gold vs. Vanguard Target Retirement | Invesco Gold vs. Massmutual Retiresmart Moderate | Invesco Gold vs. T Rowe Price | Invesco Gold vs. Bmo In Retirement 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 Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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