Neuberger Berman Etf Market Value
| NBOS Etf | 27.45 0.04 0.15% |
| Symbol | Neuberger |
Investors evaluate Neuberger Berman ETF using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating Neuberger Berman's intrinsic value - the estimated true worth - helps identify when the stock trades at a discount or premium to fair value. Analysts utilize numerous techniques to assess fundamental value, seeking to purchase shares when trading prices fall beneath estimated intrinsic worth. External factors like market trends, sector rotation, and investor psychology can cause Neuberger Berman's market price to deviate significantly from intrinsic value.
It's important to distinguish between Neuberger Berman's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding Neuberger Berman should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. Conversely, Neuberger Berman's market price signifies the transaction level at which participants voluntarily complete trades.
Neuberger Berman 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Neuberger Berman's etf what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Neuberger Berman.
| 11/08/2025 |
| 02/06/2026 |
If you would invest 0.00 in Neuberger Berman on November 8, 2025 and sell it all today you would earn a total of 0.00 from holding Neuberger Berman ETF or generate 0.0% return on investment in Neuberger Berman over 90 days. Neuberger Berman is related to or competes with First Trust, Harbor Corporate, FT Cboe, First Trust, American Century, First Trust, and Invesco SP. Neuberger Berman is entity of United States More
Neuberger Berman Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Neuberger Berman's etf current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Neuberger Berman ETF upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.5513 | |||
| Information Ratio | 0.0223 | |||
| Maximum Drawdown | 2.48 | |||
| Value At Risk | (0.61) | |||
| Potential Upside | 0.6716 |
Neuberger Berman Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Neuberger Berman's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Neuberger Berman's standard deviation. In reality, there are many statistical measures that can use Neuberger Berman historical prices to predict the future Neuberger Berman's volatility.| Risk Adjusted Performance | 0.0824 | |||
| Jensen Alpha | 0.0453 | |||
| Total Risk Alpha | 0.0235 | |||
| Sortino Ratio | 0.0192 | |||
| Treynor Ratio | 4.43 |
Neuberger Berman February 6, 2026 Technical Indicators
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| Math Transform | ||
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| Volume Indicators |
| Risk Adjusted Performance | 0.0824 | |||
| Market Risk Adjusted Performance | 4.44 | |||
| Mean Deviation | 0.3348 | |||
| Semi Deviation | 0.431 | |||
| Downside Deviation | 0.5513 | |||
| Coefficient Of Variation | 852.18 | |||
| Standard Deviation | 0.4741 | |||
| Variance | 0.2248 | |||
| Information Ratio | 0.0223 | |||
| Jensen Alpha | 0.0453 | |||
| Total Risk Alpha | 0.0235 | |||
| Sortino Ratio | 0.0192 | |||
| Treynor Ratio | 4.43 | |||
| Maximum Drawdown | 2.48 | |||
| Value At Risk | (0.61) | |||
| Potential Upside | 0.6716 | |||
| Downside Variance | 0.3039 | |||
| Semi Variance | 0.1858 | |||
| Expected Short fall | (0.35) | |||
| Skewness | (0.69) | |||
| Kurtosis | 2.79 |
Neuberger Berman ETF Backtested Returns
Currently, Neuberger Berman ETF is very steady. Neuberger Berman ETF has Sharpe Ratio of 0.11, which conveys that the entity had a 0.11 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Neuberger Berman, which you can use to evaluate the volatility of the etf. Please verify Neuberger Berman's Downside Deviation of 0.5513, mean deviation of 0.3348, and Risk Adjusted Performance of 0.0824 to check out if the risk estimate we provide is consistent with the expected return of 0.0548%. The etf secures a Beta (Market Risk) of 0.0103, which conveys not very significant fluctuations relative to the market. As returns on the market increase, Neuberger Berman's returns are expected to increase less than the market. However, during the bear market, the loss of holding Neuberger Berman is expected to be smaller as well.
Auto-correlation | 0.52 |
Modest predictability
Neuberger Berman ETF has modest predictability. Overlapping area represents the amount of predictability between Neuberger Berman time series from 8th of November 2025 to 23rd of December 2025 and 23rd of December 2025 to 6th of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Neuberger Berman ETF price movement. The serial correlation of 0.52 indicates that about 52.0% of current Neuberger Berman price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.52 | |
| Spearman Rank Test | 0.74 | |
| Residual Average | 0.0 | |
| Price Variance | 0.03 |
Thematic Opportunities
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Check out Neuberger Berman Correlation, Neuberger Berman Volatility and Neuberger Berman Performance module to complement your research on Neuberger Berman. You can also try the CEOs Directory module to screen CEOs from public companies around the world.
Neuberger Berman technical etf analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, etf market cycles, or different charting patterns.