Correlation Between Pimco Preferred and Pimco Income
Can any of the company-specific risk be diversified away by investing in both Pimco Preferred and Pimco Income 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 Preferred and Pimco Income into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Pimco Preferred And and Pimco Income Fund, you can compare the effects of market volatilities on Pimco Preferred and Pimco Income 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 Preferred with a short position of Pimco Income. Check out your portfolio center. Please also check ongoing floating volatility patterns of Pimco Preferred and Pimco Income.
Diversification Opportunities for Pimco Preferred and Pimco Income
0.5 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Pimco and Pimco is 0.5. Overlapping area represents the amount of risk that can be diversified away by holding Pimco Preferred And and Pimco Income Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pimco Income and Pimco Preferred 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 Preferred And are associated (or correlated) with Pimco Income. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pimco Income has no effect on the direction of Pimco Preferred i.e., Pimco Preferred and Pimco Income go up and down completely randomly.
Pair Corralation between Pimco Preferred and Pimco Income
Assuming the 90 days horizon Pimco Preferred is expected to generate 1.37 times less return on investment than Pimco Income. In addition to that, Pimco Preferred is 1.29 times more volatile than Pimco Income Fund. It trades about 0.06 of its total potential returns per unit of risk. Pimco Income Fund is currently generating about 0.1 per unit of volatility. If you would invest 918.00 in Pimco Income Fund on November 9, 2024 and sell it today you would earn a total of 146.00 from holding Pimco Income Fund or generate 15.9% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Pimco Preferred And vs. Pimco Income Fund
Performance |
Timeline |
Pimco Preferred And |
Pimco Income |
Pimco Preferred and Pimco Income Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Pimco Preferred and Pimco Income
The main advantage of trading using opposite Pimco Preferred and Pimco Income positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Pimco Preferred position performs unexpectedly, Pimco Income 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 Income will offset losses from the drop in Pimco Income's long position.Pimco Preferred vs. T Rowe Price | Pimco Preferred vs. Nasdaq 100 2x Strategy | Pimco Preferred vs. Hartford Schroders Emerging | Pimco Preferred vs. Commodities Strategy Fund |
Pimco Income vs. Pimco Income Fund | Pimco Income vs. Pimco Income Fund | Pimco Income vs. Pimco Income Fund | Pimco Income vs. Pimco Incme Fund |
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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