Dgaz Etf Probability Of Bankruptcy
DGAZ's risk of distress is under 9% at this time. It has tiny likelihood of undergoing some form of financial crisis in the near future. Probability of bankruptcy shows the probability of financial torment over the next two years of operations under current economic and market conditions. Check out Investing Opportunities to better understand how to build diversified portfolios. Also, note that the market value of any etf could be tightly coupled with the direction of predictive economic indicators such as signals in nation.
DGAZ |
DGAZ ETF probability of bankruptcy Analysis
DGAZ'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 DGAZ Probability Of Bankruptcy | Less than 9% |
Most of DGAZ'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, DGAZ is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Our calculation of DGAZ 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 DGAZ 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 DGAZ financial health.
The market value of DGAZ is measured differently than its book value, which is the value of DGAZ that is recorded on the company's balance sheet. Investors also form their own opinion of DGAZ's value that differs from its market value or its book value, called intrinsic value, which is DGAZ'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 DGAZ's market value can be influenced by many factors that don't directly affect DGAZ'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 DGAZ's value and its price as these two are different measures arrived at by different means. Investors typically determine if DGAZ is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, DGAZ'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.
CompetitionBased on the latest financial disclosure, DGAZ has a Probability Of Bankruptcy of 9.0%. This is much higher than that of the Credit Suisse AG family and significantly higher than that of the Trading--Inverse Commodities category. The probability of bankruptcy for all United States etfs is notably lower than that of the firm.
DGAZ Probability Of Bankruptcy Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses DGAZ'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 DGAZ could also be used in its relative valuation, which is a method of valuing DGAZ by comparing valuation metrics of similar companies.DGAZ is currently under evaluation in probability of bankruptcy as compared to similar ETFs.
DGAZ Fundamentals
| Number Of Employees | 201 | |||
| Total Asset | 100.31 M | |||
| One Year Return | 170.36 % | |||
| Three Year Return | (4.87) % | |||
| Five Year Return | (30.68) % | |||
| Net Asset | 100.31 M |
Pair Trading with DGAZ
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 DGAZ 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 DGAZ will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to FirstEnergy could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace FirstEnergy 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 FirstEnergy - 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 FirstEnergy to buy it.
The correlation of FirstEnergy 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 FirstEnergy moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if FirstEnergy 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 FirstEnergy 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 Investing Opportunities to better understand how to build diversified portfolios. Also, note that the market value of any etf could be tightly coupled with the direction of predictive economic indicators such as signals in nation. Note that the DGAZ information on this page should be used as a complementary analysis to other DGAZ's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Financial Widgets module to easily integrated Macroaxis content with over 30 different plug-and-play financial widgets.
Other Tools for DGAZ Etf
When running DGAZ's price analysis, check to measure DGAZ's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy DGAZ is operating at the current time. Most of DGAZ's value examination focuses on studying past and present price action to predict the probability of DGAZ's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move DGAZ's price. Additionally, you may evaluate how the addition of DGAZ to your portfolios can decrease your overall portfolio volatility.
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