Neuberger Berman (Ireland) Risk Analysis And Volatility Evaluation

Our philosophy towards estimating volatility of a fund is to use all available market data together with company specific technical indicators that cannot be diversified away. We have found twenty-one technical indicators for Neuberger Berman which you can use to evaluate future volatility of the organization. Please verify Neuberger Berman China Equity USD Ins to check out if risk estimate we provide are consistent with the epected return of 0.0%.
 Time Horizon     30 Days    Login   to change

Neuberger Berman China Technical Analysis

Transformation
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Projected Return Density Against Market

Assuming 30 trading days horizon, Neuberger Berman has beta of 0.0 . This indicates unless we do not have required data, the returns on DOW and Neuberger Berman are completely uncorrelated. Furthermore, Neuberger Berman China Equity USD InsIt does not look like Neuberger Berman alpha can have any bearing on the equity current valuation.
α
Alpha over DOW
=0.00
β
Beta against DOW=0.00
σ
Overall volatility
=0.00
Ir
Information ratio =0.00

Actual Return Volatility

Neuberger Berman China Equity USD Ins accepts 0.0% volatility on return distribution over the 30 days horizon. DOW inherits 0.6284% risk (volatility on return distribution) over the 30 days horizon.
 Performance (%) 
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Correlation Analysis

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Investment Outlook

Neuberger Berman Investment Opportunity
DOW has a standard deviation of returns of 0.63 and is 9.223372036854776E16 times more volatile than Neuberger Berman China Equity USD Ins. 0% of all equities and portfolios are less risky than Neuberger Berman. Compared to the overall equity markets, volatility of historical daily returns of Neuberger Berman China Equity USD Ins is lower than 0 (%) of all global equities and portfolios over the last 30 days.

Neuberger Berman Current Risk Indicators

Please also check Risk vs Return Analysis. Please also try Technical Analysis module to check basic technical indicators and analysis based on most latest market data.