Correlation Between Old Westbury and Enhanced Fixed
Can any of the company-specific risk be diversified away by investing in both Old Westbury and Enhanced Fixed 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 Old Westbury and Enhanced Fixed into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Old Westbury Fixed and Enhanced Fixed Income, you can compare the effects of market volatilities on Old Westbury and Enhanced Fixed 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 Old Westbury with a short position of Enhanced Fixed. Check out your portfolio center. Please also check ongoing floating volatility patterns of Old Westbury and Enhanced Fixed.
Diversification Opportunities for Old Westbury and Enhanced Fixed
0.75 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Old and Enhanced is 0.75. Overlapping area represents the amount of risk that can be diversified away by holding Old Westbury Fixed and Enhanced Fixed Income in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Enhanced Fixed Income and Old Westbury 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 Old Westbury Fixed are associated (or correlated) with Enhanced Fixed. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Enhanced Fixed Income has no effect on the direction of Old Westbury i.e., Old Westbury and Enhanced Fixed go up and down completely randomly.
Pair Corralation between Old Westbury and Enhanced Fixed
Assuming the 90 days horizon Old Westbury is expected to generate 2.63 times less return on investment than Enhanced Fixed. But when comparing it to its historical volatility, Old Westbury Fixed is 1.17 times less risky than Enhanced Fixed. It trades about 0.1 of its potential returns per unit of risk. Enhanced Fixed Income is currently generating about 0.23 of returns per unit of risk over similar time horizon. If you would invest 1,037 in Enhanced Fixed Income on September 16, 2025 and sell it today you would earn a total of 8.00 from holding Enhanced Fixed Income or generate 0.77% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Old Westbury Fixed vs. Enhanced Fixed Income
Performance |
| Timeline |
| Old Westbury Fixed |
| Enhanced Fixed Income |
Old Westbury and Enhanced Fixed Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Old Westbury and Enhanced Fixed
The main advantage of trading using opposite Old Westbury and Enhanced Fixed positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Old Westbury position performs unexpectedly, Enhanced Fixed 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 Enhanced Fixed will offset losses from the drop in Enhanced Fixed's long position.| Old Westbury vs. Pace Municipal Fixed | Old Westbury vs. T Rowe Price | Old Westbury vs. Performance Trust Municipal | Old Westbury vs. Ab Impact Municipal |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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