Correlation Between Pimco Trends and Old Westbury
Can any of the company-specific risk be diversified away by investing in both Pimco Trends and Old Westbury 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 Trends and Old Westbury into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Pimco Trends Managed and Old Westbury Large, you can compare the effects of market volatilities on Pimco Trends and Old Westbury 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 Trends with a short position of Old Westbury. Check out your portfolio center. Please also check ongoing floating volatility patterns of Pimco Trends and Old Westbury.
Diversification Opportunities for Pimco Trends and Old Westbury
0.18 | Correlation Coefficient |
Average diversification
The 3 months correlation between Pimco and Old is 0.18. Overlapping area represents the amount of risk that can be diversified away by holding Pimco Trends Managed and Old Westbury Large in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Old Westbury Large and Pimco Trends 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 Trends Managed are associated (or correlated) with Old Westbury. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Old Westbury Large has no effect on the direction of Pimco Trends i.e., Pimco Trends and Old Westbury go up and down completely randomly.
Pair Corralation between Pimco Trends and Old Westbury
Assuming the 90 days horizon Pimco Trends Managed is expected to under-perform the Old Westbury. But the mutual fund apears to be less risky and, when comparing its historical volatility, Pimco Trends Managed is 1.78 times less risky than Old Westbury. The mutual fund trades about -0.13 of its potential returns per unit of risk. The Old Westbury Large is currently generating about -0.02 of returns per unit of risk over similar time horizon. If you would invest 1,991 in Old Westbury Large on December 28, 2024 and sell it today you would lose (30.00) from holding Old Westbury Large or give up 1.51% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Pimco Trends Managed vs. Old Westbury Large
Performance |
Timeline |
Pimco Trends Managed |
Old Westbury Large |
Pimco Trends and Old Westbury Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Pimco Trends and Old Westbury
The main advantage of trading using opposite Pimco Trends and Old Westbury positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Pimco Trends position performs unexpectedly, Old Westbury 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 Old Westbury will offset losses from the drop in Old Westbury's long position.Pimco Trends vs. Versatile Bond Portfolio | Pimco Trends vs. Ab Bond Inflation | Pimco Trends vs. Rbc Ultra Short Fixed | Pimco Trends vs. Gmo High Yield |
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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 Equity Search module to search for actively traded equities including funds and ETFs from over 30 global markets.
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