Neuberger Berman Etf Market Value
| NBGR Etf | 27.58 0.03 0.11% |
| Symbol | Neuberger |
The market value of Neuberger Berman ETF 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.
| 12/24/2022 |
| 12/13/2024 |
If you would invest 0.00 in Neuberger Berman on December 24, 2022 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 720 days. Neuberger Berman is related to or competes with Avantis Emerging, American Century, Avantis Emerging, Avantis Equity, and Avantis International. 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.
| Information Ratio | (0.27) | |||
| Maximum Drawdown | 3.9 | |||
| Value At Risk | (1.41) | |||
| Potential Upside | 1.06 |
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 | (0.09) | |||
| Jensen Alpha | (0.12) | |||
| Total Risk Alpha | (0.22) | |||
| Treynor Ratio | (0.81) |
Neuberger Berman ETF Backtested Returns
Neuberger Berman ETF has Sharpe Ratio of -0.18, which conveys that the entity had a -0.18% return per unit of risk over the last 3 months. Neuberger Berman exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify Neuberger Berman's Standard Deviation of 0.7868, risk adjusted performance of (0.09), and Mean Deviation of 0.6104 to check out the risk estimate we provide. The etf secures a Beta (Market Risk) of 0.14, 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 | -0.82 |
Excellent reverse predictability
Neuberger Berman ETF has excellent reverse predictability. Overlapping area represents the amount of predictability between Neuberger Berman time series from 24th of December 2022 to 19th of December 2023 and 19th of December 2023 to 13th of December 2024. 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 -0.82 indicates that around 82.0% of current Neuberger Berman price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.82 | |
| Spearman Rank Test | -0.83 | |
| Residual Average | 0.0 | |
| Price Variance | 0.31 |
Neuberger Berman ETF 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 |
| Timeline |
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 |
| Timeline |
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 ETF.
Regressed Prices |
| Timeline |
Pair Trading with Neuberger Berman
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Neuberger Berman position performs unexpectedly, the other equity 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 Neuberger Berman will appreciate offsetting losses from the drop in the long position's value.Moving together with Neuberger Etf
| 0.95 | REET | iShares Global REIT | PairCorr |
| 0.97 | RWO | SPDR Dow Jones | PairCorr |
| 0.91 | HAUZ | Xtrackers International | PairCorr |
| 0.95 | RWX | SPDR Dow Jones | PairCorr |
| 0.86 | GQRE | FlexShares Global Quality | PairCorr |
Moving against Neuberger Etf
| 0.79 | VUG | Vanguard Growth Index | PairCorr |
| 0.75 | VTI | Vanguard Total Stock | PairCorr |
| 0.75 | SPY | SPDR SP 500 | PairCorr |
| 0.75 | IVV | iShares Core SP | PairCorr |
| 0.71 | VO | Vanguard Mid Cap | PairCorr |
The ability to find closely correlated positions to Neuberger Berman could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Neuberger Berman when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Neuberger Berman - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Neuberger Berman ETF to buy it.
The correlation of Neuberger Berman is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Neuberger Berman moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Neuberger Berman ETF moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Neuberger Berman can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.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 Idea Breakdown module to analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes.
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.