Correlation Between Neuberger Berman and Baillie Gifford
Can any of the company-specific risk be diversified away by investing in both Neuberger Berman and Baillie Gifford 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 Neuberger Berman and Baillie Gifford into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Neuberger Berman Socially and Baillie Gifford Health, you can compare the effects of market volatilities on Neuberger Berman and Baillie Gifford 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 Neuberger Berman with a short position of Baillie Gifford. Check out your portfolio center. Please also check ongoing floating volatility patterns of Neuberger Berman and Baillie Gifford.
Diversification Opportunities for Neuberger Berman and Baillie Gifford
-0.38 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Neuberger and Baillie is -0.38. Overlapping area represents the amount of risk that can be diversified away by holding Neuberger Berman Socially and Baillie Gifford Health in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Baillie Gifford Health and Neuberger Berman 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 Neuberger Berman Socially are associated (or correlated) with Baillie Gifford. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Baillie Gifford Health has no effect on the direction of Neuberger Berman i.e., Neuberger Berman and Baillie Gifford go up and down completely randomly.
Pair Corralation between Neuberger Berman and Baillie Gifford
Assuming the 90 days horizon Neuberger Berman Socially is expected to generate 0.77 times more return on investment than Baillie Gifford. However, Neuberger Berman Socially is 1.29 times less risky than Baillie Gifford. It trades about 0.08 of its potential returns per unit of risk. Baillie Gifford Health is currently generating about -0.03 per unit of risk. If you would invest 3,259 in Neuberger Berman Socially on October 4, 2024 and sell it today you would earn a total of 1,604 from holding Neuberger Berman Socially or generate 49.22% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Neuberger Berman Socially vs. Baillie Gifford Health
Performance |
Timeline |
Neuberger Berman Socially |
Baillie Gifford Health |
Neuberger Berman and Baillie Gifford Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Neuberger Berman and Baillie Gifford
The main advantage of trading using opposite Neuberger Berman and Baillie Gifford positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Neuberger Berman position performs unexpectedly, Baillie Gifford 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 Baillie Gifford will offset losses from the drop in Baillie Gifford's long position.Neuberger Berman vs. Volumetric Fund Volumetric | Neuberger Berman vs. Tfa Alphagen Growth | Neuberger Berman vs. T Rowe Price | Neuberger Berman vs. Growth Fund Of |
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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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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