Correlation Between Neuberger Berman and Saat Aggressive
Can any of the company-specific risk be diversified away by investing in both Neuberger Berman and Saat Aggressive 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 Saat Aggressive into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Neuberger Berman Real and Saat Aggressive Strategy, you can compare the effects of market volatilities on Neuberger Berman and Saat Aggressive 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 Saat Aggressive. Check out your portfolio center. Please also check ongoing floating volatility patterns of Neuberger Berman and Saat Aggressive.
Diversification Opportunities for Neuberger Berman and Saat Aggressive
0.53 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Neuberger and Saat is 0.53. Overlapping area represents the amount of risk that can be diversified away by holding Neuberger Berman Real and Saat Aggressive Strategy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Saat Aggressive Strategy 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 Real are associated (or correlated) with Saat Aggressive. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Saat Aggressive Strategy has no effect on the direction of Neuberger Berman i.e., Neuberger Berman and Saat Aggressive go up and down completely randomly.
Pair Corralation between Neuberger Berman and Saat Aggressive
Assuming the 90 days horizon Neuberger Berman Real is expected to under-perform the Saat Aggressive. In addition to that, Neuberger Berman is 1.77 times more volatile than Saat Aggressive Strategy. It trades about -0.21 of its total potential returns per unit of risk. Saat Aggressive Strategy is currently generating about -0.28 per unit of volatility. If you would invest 1,481 in Saat Aggressive Strategy on October 9, 2024 and sell it today you would lose (61.00) from holding Saat Aggressive Strategy or give up 4.12% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Neuberger Berman Real vs. Saat Aggressive Strategy
Performance |
Timeline |
Neuberger Berman Real |
Saat Aggressive Strategy |
Neuberger Berman and Saat Aggressive Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Neuberger Berman and Saat Aggressive
The main advantage of trading using opposite Neuberger Berman and Saat Aggressive positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Neuberger Berman position performs unexpectedly, Saat Aggressive 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 Saat Aggressive will offset losses from the drop in Saat Aggressive's long position.Neuberger Berman vs. Amg Managers Centersquare | Neuberger Berman vs. Real Estate Fund | Neuberger Berman vs. Neuberger Berman Large | Neuberger Berman vs. Fidelity Real Estate |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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