Microsectors Fang Index Etf Probability Of Bankruptcy
| FNGO Etf | USD 94.99 1.99 2.14% |
MicroSectors |
MicroSectors FANG Index ETF odds of distress Analysis
MicroSectors FANG's Probability Of Bankruptcy is a relative measure of the likelihood of financial distress. For stocks, the Probability Of Bankruptcy is the normalized value of Z-Score. For funds and ETFs, it is derived from a multi-factor model developed by Macroaxis. The score is used to predict the probability of a firm or a fund experiencing financial distress within the next 24 months. Unlike Z-Score, Probability Of Bankruptcy is the value between 0 and 100, indicating the firm's actual probability it will be financially distressed in the next 2 fiscal years.
More About Probability Of Bankruptcy | All Equity Analysis
Probability Of Bankruptcy | = | Normalized | | Z-Score |
Current MicroSectors FANG Probability Of Bankruptcy | Less than 9% |
Most of MicroSectors FANG's fundamental indicators, such as Probability Of Bankruptcy, are part of a valuation analysis module that helps investors searching for stocks that are currently trading at higher or lower prices than their real value. If the real value is higher than the market price, MicroSectors FANG Index is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Our calculation of MicroSectors FANG probability of bankruptcy is based on Altman Z-Score and Piotroski F-Score, but not limited to these measures. To be applied to a broader range of industries and markets, we use several other techniques to enhance the accuracy of predicting MicroSectors FANG odds of financial distress. These include financial statement analysis, different types of price predictions, earning estimates, analysis consensus, and basic intrinsic valuation. Please use the options below to get a better understanding of different measures that drive the calculation of MicroSectors FANG Index financial health.
The market value of MicroSectors FANG Index is measured differently than its book value, which is the value of MicroSectors that is recorded on the company's balance sheet. Investors also form their own opinion of MicroSectors FANG's value that differs from its market value or its book value, called intrinsic value, which is MicroSectors FANG'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 MicroSectors FANG's market value can be influenced by many factors that don't directly affect MicroSectors FANG'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 MicroSectors FANG's value and its price as these two are different measures arrived at by different means. Investors typically determine if MicroSectors FANG is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, MicroSectors FANG'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.
The Probability of Bankruptcy SHOULD NOT be confused with the actual chance of a company to file for chapter 7, 11, 12, or 13 bankruptcy protection. Macroaxis simply defines Financial Distress as an operational condition where a company is having difficulty meeting its current financial obligations towards its creditors or delivering on the expectations of its investors. Macroaxis derives these conditions daily from both public financial statements as well as analysis of stock prices reacting to market conditions or economic downturns, including short-term and long-term historical volatility. Other factors taken into account include analysis of liquidity, revenue patterns, R&D expenses, and commitments, as well as public headlines and social sentiment.
| Competition |
Based on the latest financial disclosure, MicroSectors FANG Index has a Probability Of Bankruptcy of 9.0%. This is much higher than that of the BMO Capital Markets family and significantly higher than that of the Trading--Leveraged Equity category. The probability of bankruptcy for all United States etfs is notably lower than that of the firm.
MicroSectors Probability Of Bankruptcy Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses MicroSectors FANG's direct or indirect competition against its Probability Of Bankruptcy to detect undervalued stocks with similar characteristics or determine the etfs which would be a good addition to a portfolio. Peer analysis of MicroSectors FANG could also be used in its relative valuation, which is a method of valuing MicroSectors FANG by comparing valuation metrics of similar companies.MicroSectors FANG is currently under evaluation in probability of bankruptcy as compared to similar ETFs.
MicroSectors Fundamentals
| Number Of Employees | 28 | |||
| Beta | 2.44 | |||
| Total Asset | 80.58 M | |||
| One Year Return | 101.10 % | |||
| Three Year Return | 27.50 % | |||
| Five Year Return | 54.50 % | |||
| Net Asset | 80.58 M | |||
| Equity Positions Weight | 100.00 % |
About MicroSectors FANG Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze MicroSectors FANG Index's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of MicroSectors FANG using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of MicroSectors FANG Index 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 MicroSectors FANG
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 MicroSectors FANG 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 MicroSectors FANG will appreciate offsetting losses from the drop in the long position's value.Moving together with MicroSectors Etf
| 0.86 | SSO | ProShares Ultra SP500 | PairCorr |
| 0.85 | SPXL | Direxion Daily SP500 | PairCorr |
| 0.93 | QLD | ProShares Ultra QQQ | PairCorr |
| 0.85 | UPRO | ProShares UltraPro SP500 | PairCorr |
Moving against MicroSectors Etf
| 0.55 | NRGU | Bank Of Montreal | PairCorr |
| 0.52 | LABU | Direxion Daily SP | PairCorr |
| 0.5 | VZ | Verizon Communications Fiscal Year End 28th of January 2025 | PairCorr |
The ability to find closely correlated positions to MicroSectors FANG could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace MicroSectors FANG 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 MicroSectors FANG - 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 MicroSectors FANG Index to buy it.
The correlation of MicroSectors FANG 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 MicroSectors FANG moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if MicroSectors FANG Index 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 MicroSectors FANG 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 MicroSectors FANG Piotroski F Score and MicroSectors FANG Altman Z Score analysis. You can also try the Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
The market value of MicroSectors FANG Index is measured differently than its book value, which is the value of MicroSectors that is recorded on the company's balance sheet. Investors also form their own opinion of MicroSectors FANG's value that differs from its market value or its book value, called intrinsic value, which is MicroSectors FANG'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 MicroSectors FANG's market value can be influenced by many factors that don't directly affect MicroSectors FANG'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 MicroSectors FANG's value and its price as these two are different measures arrived at by different means. Investors typically determine if MicroSectors FANG is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, MicroSectors FANG'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.