Correlation Between Cref Inflation-linked and Pimco Long
Can any of the company-specific risk be diversified away by investing in both Cref Inflation-linked and Pimco Long 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 Cref Inflation-linked and Pimco Long into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Cref Inflation Linked Bond and Pimco Long Term Credit, you can compare the effects of market volatilities on Cref Inflation-linked and Pimco Long 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 Cref Inflation-linked with a short position of Pimco Long. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cref Inflation-linked and Pimco Long.
Diversification Opportunities for Cref Inflation-linked and Pimco Long
0.88 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Cref and Pimco is 0.88. Overlapping area represents the amount of risk that can be diversified away by holding Cref Inflation Linked Bond and Pimco Long Term Credit in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pimco Long Term and Cref Inflation-linked 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 Cref Inflation Linked Bond are associated (or correlated) with Pimco Long. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pimco Long Term has no effect on the direction of Cref Inflation-linked i.e., Cref Inflation-linked and Pimco Long go up and down completely randomly.
Pair Corralation between Cref Inflation-linked and Pimco Long
Assuming the 90 days trading horizon Cref Inflation-linked is expected to generate 1.75 times less return on investment than Pimco Long. But when comparing it to its historical volatility, Cref Inflation Linked Bond is 3.47 times less risky than Pimco Long. It trades about 0.23 of its potential returns per unit of risk. Pimco Long Term Credit is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 695.00 in Pimco Long Term Credit on December 20, 2024 and sell it today you would earn a total of 31.00 from holding Pimco Long Term Credit or generate 4.46% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Cref Inflation Linked Bond vs. Pimco Long Term Credit
Performance |
Timeline |
Cref Inflation Linked |
Pimco Long Term |
Cref Inflation-linked and Pimco Long Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Cref Inflation-linked and Pimco Long
The main advantage of trading using opposite Cref Inflation-linked and Pimco Long positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cref Inflation-linked position performs unexpectedly, Pimco Long 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 Long will offset losses from the drop in Pimco Long's long position.Cref Inflation-linked vs. Global Gold Fund | Cref Inflation-linked vs. Gold And Precious | Cref Inflation-linked vs. Goldman Sachs International | Cref Inflation-linked vs. Europac Gold Fund |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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