Correlation Between Pimco Total and Commodities Strategy
Can any of the company-specific risk be diversified away by investing in both Pimco Total and Commodities Strategy 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 Total and Commodities Strategy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Pimco Total Return and Commodities Strategy Fund, you can compare the effects of market volatilities on Pimco Total and Commodities Strategy 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 Total with a short position of Commodities Strategy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Pimco Total and Commodities Strategy.
Diversification Opportunities for Pimco Total and Commodities Strategy
-0.27 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Pimco and Commodities is -0.27. Overlapping area represents the amount of risk that can be diversified away by holding Pimco Total Return and Commodities Strategy Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Commodities Strategy and Pimco Total 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 Total Return are associated (or correlated) with Commodities Strategy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Commodities Strategy has no effect on the direction of Pimco Total i.e., Pimco Total and Commodities Strategy go up and down completely randomly.
Pair Corralation between Pimco Total and Commodities Strategy
Assuming the 90 days horizon Pimco Total Return is expected to generate 0.3 times more return on investment than Commodities Strategy. However, Pimco Total Return is 3.39 times less risky than Commodities Strategy. It trades about 0.09 of its potential returns per unit of risk. Commodities Strategy Fund is currently generating about -0.01 per unit of risk. If you would invest 838.00 in Pimco Total Return on September 3, 2024 and sell it today you would earn a total of 28.00 from holding Pimco Total Return or generate 3.34% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Pimco Total Return vs. Commodities Strategy Fund
Performance |
| Timeline |
| Pimco Total Return |
| Commodities Strategy |
Pimco Total and Commodities Strategy Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Pimco Total and Commodities Strategy
The main advantage of trading using opposite Pimco Total and Commodities Strategy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Pimco Total position performs unexpectedly, Commodities Strategy 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 Commodities Strategy will offset losses from the drop in Commodities Strategy's long position.| Pimco Total vs. Commodities Strategy Fund | Pimco Total vs. Balanced Fund Investor | Pimco Total vs. Omni Small Cap Value | Pimco Total vs. Nasdaq 100 Fund Class |
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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