Correlation Between Pimco Municipal and Pimco Municipal
Can any of the company-specific risk be diversified away by investing in both Pimco Municipal and Pimco 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 Pimco Municipal and Pimco Municipal into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Pimco Municipal Income and Pimco Municipal Income, you can compare the effects of market volatilities on Pimco Municipal and Pimco 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 Pimco Municipal with a short position of Pimco Municipal. Check out your portfolio center. Please also check ongoing floating volatility patterns of Pimco Municipal and Pimco Municipal.
Diversification Opportunities for Pimco Municipal and Pimco Municipal
0.78 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Pimco and Pimco is 0.78. Overlapping area represents the amount of risk that can be diversified away by holding Pimco Municipal Income and Pimco Municipal Income in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pimco Municipal Income and Pimco 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 Pimco Municipal Income are associated (or correlated) with Pimco Municipal. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pimco Municipal Income has no effect on the direction of Pimco Municipal i.e., Pimco Municipal and Pimco Municipal go up and down completely randomly.
Pair Corralation between Pimco Municipal and Pimco Municipal
Considering the 90-day investment horizon Pimco Municipal Income is expected to generate 1.06 times more return on investment than Pimco Municipal. However, Pimco Municipal is 1.06 times more volatile than Pimco Municipal Income. It trades about -0.03 of its potential returns per unit of risk. Pimco Municipal Income is currently generating about -0.1 per unit of risk. If you would invest 974.00 in Pimco Municipal Income on September 14, 2024 and sell it today you would lose (22.00) from holding Pimco Municipal Income or give up 2.26% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Pimco Municipal Income vs. Pimco Municipal Income
Performance |
Timeline |
Pimco Municipal Income |
Pimco Municipal Income |
Pimco Municipal and Pimco Municipal Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Pimco Municipal and Pimco Municipal
The main advantage of trading using opposite Pimco Municipal and Pimco Municipal positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Pimco Municipal position performs unexpectedly, Pimco 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 Pimco Municipal will offset losses from the drop in Pimco Municipal's long position.Pimco Municipal vs. Pimco Municipal Income | Pimco Municipal vs. Nuveen Municipal High | Pimco Municipal vs. Nuveen Municipal Credit | Pimco Municipal vs. Nuveen Amt Free Municipal |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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