Neuberger Berman Disrupters Etf Market Value
| NBDS Etf | USD 34.28 0.20 0.59% |
| Symbol | Neuberger |
The market value of Neuberger Berman Dis is measured differently than its book value, which is the value of Neuberger that is recorded on the company's balance sheet. Investors also form their own opinion of Neuberger Berman's value that differs from its market value or its book value, called intrinsic value, which is Neuberger Berman's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Neuberger Berman's market value can be influenced by many factors that don't directly affect Neuberger Berman's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Neuberger Berman's value and its price as these two are different measures arrived at by different means. Investors typically determine if Neuberger Berman is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Neuberger Berman's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
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.
| 04/24/2025 |
| 07/23/2025 |
If you would invest 0.00 in Neuberger Berman on April 24, 2025 and sell it all today you would earn a total of 0.00 from holding Neuberger Berman Disrupters or generate 0.0% return on investment in Neuberger Berman over 90 days. Neuberger Berman is related to or competes with India Internet, and Neuberger Berman. Under normal market conditions, the fund will invest at least 80 percent of its total assets in a concentrated portfolio... 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 Disrupters upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.9332 | |||
| Information Ratio | 0.1584 | |||
| Maximum Drawdown | 6.21 | |||
| Value At Risk | (1.39) | |||
| Potential Upside | 2.41 |
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 | 0.3206 | |||
| Jensen Alpha | 0.2497 | |||
| Total Risk Alpha | 0.1272 | |||
| Sortino Ratio | 0.1831 | |||
| Treynor Ratio | 0.6105 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Neuberger Berman's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Neuberger Berman Dis Backtested Returns
Neuberger Berman appears to be very steady, given 3 months investment horizon. Neuberger Berman Dis has Sharpe Ratio of 0.36, which conveys that the entity had a 0.36 % 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 exercise Neuberger Berman's Downside Deviation of 0.9332, risk adjusted performance of 0.3206, and Mean Deviation of 0.7751 to check out if our risk estimates are consistent with your expectations. The etf secures a Beta (Market Risk) of 0.62, which conveys possible diversification benefits within a given portfolio. 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 | 0.96 |
Excellent predictability
Neuberger Berman Disrupters has excellent predictability. Overlapping area represents the amount of predictability between Neuberger Berman time series from 24th of April 2025 to 8th of June 2025 and 8th of June 2025 to 23rd of July 2025. 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 Dis price movement. The serial correlation of 0.96 indicates that 96.0% of current Neuberger Berman price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.96 | |
| Spearman Rank Test | 0.88 | |
| Residual Average | 0.0 | |
| Price Variance | 1.09 |
Neuberger Berman Dis lagged returns against current returns
Autocorrelation, which is Neuberger Berman etf's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Neuberger Berman's etf expected returns. We can calculate the autocorrelation of Neuberger Berman returns to help us make a trade decision. For example, suppose you find that Neuberger Berman has exhibited high autocorrelation historically, and you observe that the etf is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
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Neuberger Berman regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Neuberger Berman etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Neuberger Berman etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Neuberger Berman etf over time.
Current vs Lagged Prices |
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Neuberger Berman Lagged Returns
When evaluating Neuberger Berman's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Neuberger Berman etf have on its future price. Neuberger Berman autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Neuberger Berman autocorrelation shows the relationship between Neuberger Berman etf current value and its past values and can show if there is a momentum factor associated with investing in Neuberger Berman Disrupters.
Regressed Prices |
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Thematic Opportunities
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Check out Neuberger Berman Correlation, Neuberger Berman Volatility and Neuberger Berman Alpha and Beta module to complement your research on Neuberger Berman. You can also try the Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.
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.