NBGR Etf | | | 27.58 0.03 0.11% |
This module uses fundamental data of Neuberger Berman to approximate its Piotroski F score. Neuberger Berman F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of Neuberger Berman ETF. These three categories are profitability, efficiency, and funding. Some research analysts and sophisticated value traders use Piotroski F Score to find opportunities outside of the conventional market and financial statement analysis.They believe that some of the new information about Neuberger Berman financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Check out
Neuberger Berman Altman Z Score,
Neuberger Berman Correlation,
Portfolio Optimization, as well as analyze
Neuberger Berman Alpha and Beta and
Neuberger Berman Hype Analysis.
At this time, it appears that Neuberger Berman's Piotroski F Score is Inapplicable. Although some professional money managers and academia have recently criticized
Piotroski F-Score model, we still consider it an effective method of
predicting the state of the financial strength of any organization that is not predisposed to accounting gimmicks and manipulations. Using this score on the criteria to originate an efficient long-term portfolio can help investors filter out the purely speculative stocks or equities playing fundamental games by manipulating their earnings..
0.0
Piotroski F Score - Inapplicable
| Current Return On Assets | N/A | Focus |
| Change in Return on Assets | N/A | Focus |
| Cash Flow Return on Assets | N/A | Focus |
| Current Quality of Earnings (accrual) | N/A | Focus |
| Asset Turnover Growth | N/A | Focus |
| Current Ratio Change | N/A | Focus |
| Long Term Debt Over Assets Change | N/A | Focus |
| Change In Outstending Shares | N/A | Focus |
| Change in Gross Margin | N/A | Focus |
Neuberger Berman Piotroski F Score Drivers
The critical factor to consider when applying the Piotroski F Score to Neuberger Berman is to make sure Neuberger is not a subject of accounting manipulations and runs a healthy internal audit department. So, if Neuberger Berman's auditors report directly to the board (not management), the managers will be reluctant to manipulate simply due to the fear of punishment. On the other hand, the auditors will be free to investigate the ledgers properly because they know that the board has their back. Below are the main accounts that are used in the Piotroski F Score model. By analyzing the historical trends of the mains drivers, investors can determine if Neuberger Berman's financial numbers are properly reported.
About Neuberger Berman Piotroski F Score
F-Score is one of many stock grading techniques developed by Joseph Piotroski, a professor of accounting at the Stanford University Graduate School of Business. It was published in 2002 under the paper titled
Value Investing: The Use of Historical Financial Statement Information to Separate Winners from Losers. Piotroski F Score is based on binary analysis strategy in which stocks are given one point for passing 9 very simple fundamental tests, and zero point otherwise. According to Mr. Piotroski's analysis, his F-Score binary model can help to predict the performance of low price-to-book stocks.
About Neuberger Berman Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Neuberger Berman ETF's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Neuberger Berman using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at
the intrinsic value of Neuberger Berman ETF based on its fundamental data. In general, a quantitative approach, as applied to this etf, focuses on analyzing
financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our
fundamental analysis page.
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.
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.
Pair CorrelationCorrelation MatchingWhen determining whether Neuberger Berman ETF is a strong investment it is important to analyze Neuberger Berman's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Neuberger Berman's
future performance.
For an informed investment choice regarding Neuberger Etf, refer to the following important reports: 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.