Correlation Between Municipal Bond and Pimco New
Can any of the company-specific risk be diversified away by investing in both Municipal Bond and Pimco New 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 Municipal Bond and Pimco New into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Municipal Bond Fund and Pimco New York, you can compare the effects of market volatilities on Municipal Bond and Pimco New 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 Municipal Bond with a short position of Pimco New. Check out your portfolio center. Please also check ongoing floating volatility patterns of Municipal Bond and Pimco New.
Diversification Opportunities for Municipal Bond and Pimco New
0.98 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Municipal and Pimco is 0.98. Overlapping area represents the amount of risk that can be diversified away by holding Municipal Bond Fund and Pimco New York in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pimco New York and Municipal Bond 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 Municipal Bond Fund are associated (or correlated) with Pimco New. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pimco New York has no effect on the direction of Municipal Bond i.e., Municipal Bond and Pimco New go up and down completely randomly.
Pair Corralation between Municipal Bond and Pimco New
Assuming the 90 days horizon Municipal Bond Fund is expected to generate 1.07 times more return on investment than Pimco New. However, Municipal Bond is 1.07 times more volatile than Pimco New York. It trades about 0.1 of its potential returns per unit of risk. Pimco New York is currently generating about 0.09 per unit of risk. If you would invest 872.00 in Municipal Bond Fund on August 31, 2024 and sell it today you would earn a total of 82.00 from holding Municipal Bond Fund or generate 9.4% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Strong |
| Accuracy | 99.73% |
| Values | Daily Returns |
Municipal Bond Fund vs. Pimco New York
Performance |
| Timeline |
| Municipal Bond |
| Pimco New York |
Municipal Bond and Pimco New Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Municipal Bond and Pimco New
The main advantage of trading using opposite Municipal Bond and Pimco New positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Municipal Bond position performs unexpectedly, Pimco New 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 New will offset losses from the drop in Pimco New's long position.| Municipal Bond vs. Vanguard Long Term Tax Exempt | Municipal Bond vs. Vanguard High Yield Tax Exempt | Municipal Bond vs. Vanguard High Yield Tax Exempt | Municipal Bond vs. Strategic Advisers Municipal |
| Pimco New vs. Franklin New York | Pimco New vs. Franklin New York | Pimco New vs. Franklin New York | Pimco New vs. Ab New York |
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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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