Neuberger Berman Backtesting, Portfolio Optimization, Neuberger Berman Correlation, Neuberger Berman Hype Analysis, Neuberger Berman Volatility, Neuberger Berman History as well as Neuberger Berman Performance.Neuberger Berman probability of target price tool provides mechanism to make assumptions about upside and downside potential of Neuberger Berman HY Bd RMB T Mthly performance during a given time horizon utilizing its historical volatility. Please specify Neuberger Berman time horizon, a valid symbol (red box) and a target price (blue box) you would like Neuberger Berman odds to be computed. Please also check
|Horizon||30 Days Login to change|
Neuberger Berman Target Price Odds to finish over
|Current Price||Horizon||Target Price||Odds to move above current price in 30 days|
|82.20||30 days||82.20||ABOUT 11.6%|
Based on normal probability distribution, the odds of Neuberger Berman to move above current price in 30 days from now is about 11.6% (This Neuberger Berman HY Bd RMB T Mthly probability density function shows the probability of Neuberger Berman Fund to fall within a particular range of prices over 30 days) .Assuming 30 trading days horizon, Neuberger Berman has beta of 0.0223 . This indicates as returns on market go up, Neuberger Berman average returns are expected to increase less than the benchmark. However during bear market, the loss on holding Neuberger Berman HY Bd RMB T Mthly will be expected to be much smaller as well. Additionally The company has an alpha of 0.0407 implying that it can potentially generate 0.0407% excess return over DOW after adjusting for the inherited market risk (beta).
Neuberger Berman Price Density
|Alpha over DOW||=||0.040685|
|Beta against DOW||=||0.0223|
Neuberger Berman Technical Analysis
Neuberger Berman Predictive Forecast Models
Please also check Neuberger Berman Backtesting, Portfolio Optimization, Neuberger Berman Correlation, Neuberger Berman Hype Analysis, Neuberger Berman Volatility, Neuberger Berman History as well as Neuberger Berman Performance. Please also try Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.