Correlation Between NYSE Composite and Fidelity Municipal
Can any of the company-specific risk be diversified away by investing in both NYSE Composite 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 NYSE Composite and Fidelity Municipal into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NYSE Composite and Fidelity Municipal Income, you can compare the effects of market volatilities on NYSE Composite 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 NYSE Composite with a short position of Fidelity Municipal. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and Fidelity Municipal.
Diversification Opportunities for NYSE Composite and Fidelity Municipal
0.37 | Correlation Coefficient |
Weak diversification
The 3 months correlation between NYSE and Fidelity is 0.37. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite 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 NYSE Composite 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 NYSE Composite 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 NYSE Composite i.e., NYSE Composite and Fidelity Municipal go up and down completely randomly.
Pair Corralation between NYSE Composite and Fidelity Municipal
Assuming the 90 days trading horizon NYSE Composite is expected to generate 2.93 times more return on investment than Fidelity Municipal. However, NYSE Composite is 2.93 times more volatile than Fidelity Municipal Income. It trades about 0.07 of its potential returns per unit of risk. Fidelity Municipal Income is currently generating about 0.06 per unit of risk. If you would invest 1,522,540 in NYSE Composite on September 26, 2024 and sell it today you would earn a total of 411,608 from holding NYSE Composite or generate 27.03% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 99.8% |
Values | Daily Returns |
NYSE Composite vs. Fidelity Municipal Income
Performance |
Timeline |
NYSE Composite and Fidelity Municipal Volatility Contrast
Predicted Return Density |
Returns |
NYSE Composite
Pair trading matchups for NYSE Composite
Fidelity Municipal Income
Pair trading matchups for Fidelity Municipal
Pair Trading with NYSE Composite and Fidelity Municipal
The main advantage of trading using opposite NYSE Composite and Fidelity Municipal positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite 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.NYSE Composite vs. Delek Logistics Partners | NYSE Composite vs. Sun Country Airlines | NYSE Composite vs. China Clean Energy | NYSE Composite vs. Regeneron Pharmaceuticals |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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