Correlation Between Invesco Municipal and Invesco Balanced
Can any of the company-specific risk be diversified away by investing in both Invesco Municipal and Invesco Balanced 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 Municipal and Invesco Balanced into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Invesco Municipal Income and Invesco Balanced Risk Allocation, you can compare the effects of market volatilities on Invesco Municipal and Invesco Balanced 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 Municipal with a short position of Invesco Balanced. Check out your portfolio center. Please also check ongoing floating volatility patterns of Invesco Municipal and Invesco Balanced.
Diversification Opportunities for Invesco Municipal and Invesco Balanced
0.62 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Invesco and Invesco is 0.62. Overlapping area represents the amount of risk that can be diversified away by holding Invesco Municipal Income and Invesco Balanced Risk Allocati in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Invesco Balanced Risk and Invesco Municipal 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 Municipal Income are associated (or correlated) with Invesco Balanced. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Invesco Balanced Risk has no effect on the direction of Invesco Municipal i.e., Invesco Municipal and Invesco Balanced go up and down completely randomly.
Pair Corralation between Invesco Municipal and Invesco Balanced
Assuming the 90 days horizon Invesco Municipal Income is expected to generate 0.19 times more return on investment than Invesco Balanced. However, Invesco Municipal Income is 5.17 times less risky than Invesco Balanced. It trades about -0.12 of its potential returns per unit of risk. Invesco Balanced Risk Allocation is currently generating about -0.18 per unit of risk. If you would invest 1,219 in Invesco Municipal Income on October 1, 2024 and sell it today you would lose (27.00) from holding Invesco Municipal Income or give up 2.21% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Invesco Municipal Income vs. Invesco Balanced Risk Allocati
Performance |
Timeline |
Invesco Municipal Income |
Invesco Balanced Risk |
Invesco Municipal and Invesco Balanced Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Invesco Municipal and Invesco Balanced
The main advantage of trading using opposite Invesco Municipal and Invesco Balanced positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Invesco Municipal position performs unexpectedly, Invesco Balanced 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 Balanced will offset losses from the drop in Invesco Balanced's long position.Invesco Municipal vs. Oppenheimer Rising Dividends | ||
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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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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