Correlation Between NYSE Composite and Invesco Amt
Can any of the company-specific risk be diversified away by investing in both NYSE Composite and Invesco Amt 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 Invesco Amt into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NYSE Composite and Invesco Amt Free Municipal, you can compare the effects of market volatilities on NYSE Composite and Invesco Amt 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 Invesco Amt. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and Invesco Amt.
Diversification Opportunities for NYSE Composite and Invesco Amt
0.4 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between NYSE and Invesco is 0.4. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Invesco Amt Free Municipal in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Invesco Amt Free 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 Invesco Amt. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Invesco Amt Free has no effect on the direction of NYSE Composite i.e., NYSE Composite and Invesco Amt go up and down completely randomly.
Pair Corralation between NYSE Composite and Invesco Amt
Assuming the 90 days trading horizon NYSE Composite is expected to under-perform the Invesco Amt. In addition to that, NYSE Composite is 2.34 times more volatile than Invesco Amt Free Municipal. It trades about -0.19 of its total potential returns per unit of risk. Invesco Amt Free Municipal is currently generating about -0.21 per unit of volatility. If you would invest 693.00 in Invesco Amt Free Municipal on September 21, 2024 and sell it today you would lose (10.00) from holding Invesco Amt Free Municipal or give up 1.44% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
NYSE Composite vs. Invesco Amt Free Municipal
Performance |
Timeline |
NYSE Composite and Invesco Amt Volatility Contrast
Predicted Return Density |
Returns |
NYSE Composite
Pair trading matchups for NYSE Composite
Invesco Amt Free Municipal
Pair trading matchups for Invesco Amt
Pair Trading with NYSE Composite and Invesco Amt
The main advantage of trading using opposite NYSE Composite and Invesco Amt positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, Invesco Amt 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 Invesco Amt will offset losses from the drop in Invesco Amt's long position.NYSE Composite vs. Royalty Management Holding | NYSE Composite vs. JD Sports Fashion | NYSE Composite vs. Stepan Company | NYSE Composite vs. Logan Ridge Finance |
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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 Stock Screener module to find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook..
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