Correlation Between Lazard Emerging and Neuberger Berman
Can any of the company-specific risk be diversified away by investing in both Lazard Emerging and Neuberger Berman 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 Lazard Emerging and Neuberger Berman into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lazard Emerging Markets and Neuberger Berman Genesis, you can compare the effects of market volatilities on Lazard Emerging and Neuberger Berman 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 Lazard Emerging with a short position of Neuberger Berman. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lazard Emerging and Neuberger Berman.
Diversification Opportunities for Lazard Emerging and Neuberger Berman
-0.52 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Lazard and Neuberger is -0.52. Overlapping area represents the amount of risk that can be diversified away by holding Lazard Emerging Markets and Neuberger Berman Genesis in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Neuberger Berman Genesis and Lazard Emerging 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 Lazard Emerging Markets are associated (or correlated) with Neuberger Berman. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Neuberger Berman Genesis has no effect on the direction of Lazard Emerging i.e., Lazard Emerging and Neuberger Berman go up and down completely randomly.
Pair Corralation between Lazard Emerging and Neuberger Berman
Assuming the 90 days horizon Lazard Emerging Markets is expected to generate 0.76 times more return on investment than Neuberger Berman. However, Lazard Emerging Markets is 1.32 times less risky than Neuberger Berman. It trades about 0.14 of its potential returns per unit of risk. Neuberger Berman Genesis is currently generating about -0.12 per unit of risk. If you would invest 1,792 in Lazard Emerging Markets on December 30, 2024 and sell it today you would earn a total of 123.00 from holding Lazard Emerging Markets or generate 6.86% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Lazard Emerging Markets vs. Neuberger Berman Genesis
Performance |
Timeline |
Lazard Emerging Markets |
Neuberger Berman Genesis |
Lazard Emerging and Neuberger Berman Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lazard Emerging and Neuberger Berman
The main advantage of trading using opposite Lazard Emerging and Neuberger Berman positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lazard Emerging position performs unexpectedly, Neuberger Berman 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 Neuberger Berman will offset losses from the drop in Neuberger Berman's long position.Lazard Emerging vs. Goldman Sachs Mlp | Lazard Emerging vs. Clearbridge Energy Mlp | Lazard Emerging vs. Franklin Natural Resources | Lazard Emerging vs. Global Resources 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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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