Correlation Between Pimco Dynamic and High Yield
Can any of the company-specific risk be diversified away by investing in both Pimco Dynamic and High Yield 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 Dynamic and High Yield into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Pimco Dynamic Bond and High Yield Fund, you can compare the effects of market volatilities on Pimco Dynamic and High Yield 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 Dynamic with a short position of High Yield. Check out your portfolio center. Please also check ongoing floating volatility patterns of Pimco Dynamic and High Yield.
Diversification Opportunities for Pimco Dynamic and High Yield
0.76 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Pimco and High is 0.76. Overlapping area represents the amount of risk that can be diversified away by holding Pimco Dynamic Bond and High Yield Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on High Yield Fund and Pimco Dynamic 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 Dynamic Bond are associated (or correlated) with High Yield. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of High Yield Fund has no effect on the direction of Pimco Dynamic i.e., Pimco Dynamic and High Yield go up and down completely randomly.
Pair Corralation between Pimco Dynamic and High Yield
Assuming the 90 days horizon Pimco Dynamic is expected to generate 1.15 times less return on investment than High Yield. But when comparing it to its historical volatility, Pimco Dynamic Bond is 1.62 times less risky than High Yield. It trades about 0.17 of its potential returns per unit of risk. High Yield Fund is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 679.00 in High Yield Fund on September 10, 2024 and sell it today you would earn a total of 133.00 from holding High Yield Fund or generate 19.59% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Pimco Dynamic Bond vs. High Yield Fund
Performance |
Timeline |
Pimco Dynamic Bond |
High Yield Fund |
Pimco Dynamic and High Yield Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Pimco Dynamic and High Yield
The main advantage of trading using opposite Pimco Dynamic and High Yield positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Pimco Dynamic position performs unexpectedly, High Yield 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 High Yield will offset losses from the drop in High Yield's long position.Pimco Dynamic vs. Rbb Fund | Pimco Dynamic vs. Qs Growth Fund | Pimco Dynamic vs. Versatile Bond Portfolio | Pimco Dynamic vs. Commonwealth Global Fund |
High Yield vs. Gamco Global Gold | High Yield vs. Franklin Gold Precious | High Yield vs. Sprott Gold Equity | High Yield vs. International Investors Gold |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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