Correlation Between Old Westbury and Floating Rate
Can any of the company-specific risk be diversified away by investing in both Old Westbury and Floating Rate 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 Floating Rate into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Old Westbury Large and Floating Rate Fund, you can compare the effects of market volatilities on Old Westbury and Floating Rate 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 Floating Rate. Check out your portfolio center. Please also check ongoing floating volatility patterns of Old Westbury and Floating Rate.
Diversification Opportunities for Old Westbury and Floating Rate
0.97 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Old and Floating is 0.97. Overlapping area represents the amount of risk that can be diversified away by holding Old Westbury Large and Floating Rate Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Floating Rate 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 Large are associated (or correlated) with Floating Rate. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Floating Rate has no effect on the direction of Old Westbury i.e., Old Westbury and Floating Rate go up and down completely randomly.
Pair Corralation between Old Westbury and Floating Rate
Assuming the 90 days horizon Old Westbury Large is expected to generate 3.67 times more return on investment than Floating Rate. However, Old Westbury is 3.67 times more volatile than Floating Rate Fund. It trades about 0.35 of its potential returns per unit of risk. Floating Rate Fund is currently generating about 0.28 per unit of risk. If you would invest 2,076 in Old Westbury Large on April 6, 2025 and sell it today you would earn a total of 85.00 from holding Old Westbury Large or generate 4.09% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Old Westbury Large vs. Floating Rate Fund
Performance |
| Timeline |
| Old Westbury Large |
| Floating Rate |
Old Westbury and Floating Rate Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Old Westbury and Floating Rate
The main advantage of trading using opposite Old Westbury and Floating Rate positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Old Westbury position performs unexpectedly, Floating Rate 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 Floating Rate will offset losses from the drop in Floating Rate's long position.| Old Westbury vs. Mesirow Financial Small | Old Westbury vs. Davis Financial Fund | Old Westbury vs. Financial Industries Fund | Old Westbury vs. Icon Financial Fund |
| Floating Rate vs. Ishares Aggregate Bond | Floating Rate vs. Ab Bond Inflation | Floating Rate vs. Bbh Intermediate Municipal | Floating Rate vs. Ambrus Core Bond |
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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