| DGZ Etf | | | USD 8.71 0.08 0.91% |
Altman Z Score is one of the simplest fundamental models to determine how likely your company is to fail. The module uses available fundamental data of a given equity to approximate the Altman Z score. Altman Z Score is determined by evaluating five fundamental price points available from the company's current public disclosure documents. Check out
DB Gold Piotroski F Score and
Portfolio Optimization analysis.
DB Gold Short ETF Z Score Analysis
DB Gold's Z-Score is a simple linear, multi-factor model that measures the financial health and economic stability of a company. The score is used to predict the probability of a firm going into bankruptcy within next 24 months or two fiscal years from the day stated on the accounting statements used to calculate it. The model uses five fundamental business ratios that are weighted according to algorithm of Professor Edward Altman who developed it in the late 1960s at New York University..
| First Factor | = | 1.2 * ( | Working Capital | / | Total Assets ) |
|
| Second Factor | = | 1.4 * ( | Retained Earnings | / | Total Assets ) |
|
| Thrid Factor | = | 3.3 * ( | EBITAD | / | Total Assets ) |
|
| Fouth Factor | = | 0.6 * ( | Market Value of Equity | / | Total Liabilities ) |
|
| Fifth Factor | = | 0.99 * ( | Revenue | / | Total Assets ) |
|
To calculate a Z-Score, one would need to know a company's current working capital, its total assets and liabilities, and the amount of its latest earnings as well as earnings before interest and tax. Z-Scores can be used to compare the odds of bankruptcy of companies in a similar line of business or firms operating in the same industry. Companies with Z-Scores above 3.1 are generally considered to be stable and healthy with a low probability of bankruptcy. Scores that fall between 1.8 and 3.1 lie in a so-called 'grey area,' with scores of less than 1 indicating the highest probability of distress. Z Score is a used widely measure by financial auditors, accountants, money managers, loan processors, wealth advisers, and day traders. In the last 25 years, many financial models that utilize z-scores proved it to be successful as a predictor of corporate bankruptcy.
According to the company's disclosures, DB Gold Short has a Z Score of 0.0. This indicator is about the same for the Deutsche Bank AG average (which is currently at 0.0) family and about the same as
Trading--Inverse Commodities (which currently averages 0.0) category. This indicator is about the same for all United States etfs average (which is currently at 0.0).
| | AI Portfolio ArchitectUse AI to generate optimal portfolios and find profitable investment opportunities |
DGZ Fundamentals
About DB Gold Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze DB Gold Short's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of DB Gold using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at
the intrinsic value of DB Gold Short 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.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as
technical analysis,
investor sentiment usually refers to the aggregate attitude towards DB Gold in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge
market sentiment could be utilized using contrarian indexes, DB Gold's short interest history, or implied volatility extrapolated from DB Gold options trading.
Pair Trading with DB Gold
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 DB Gold 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 DB Gold will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to DB Gold could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace DB Gold 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 DB Gold - 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 DB Gold Short to buy it.
The correlation of DB Gold 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 DB Gold moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if DB Gold Short 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 DB Gold 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
DB Gold Piotroski F Score and
Portfolio Optimization analysis.
Note that the DB Gold Short information on this page should be used as a complementary analysis to other DB Gold'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
Odds Of Bankruptcy module to get analysis of equity chance of financial distress in the next 2 years.
The market value of DB Gold Short is measured differently than its book value, which is the value of DGZ that is recorded on the company's balance sheet. Investors also form their own opinion of DB Gold's value that differs from its market value or its book value, called intrinsic value, which is DB Gold'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 DB Gold's market value can be influenced by many factors that don't directly affect DB Gold'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 DB Gold's value and its price as these two are different measures arrived at by different means. Investors typically determine if DB Gold is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, DB Gold'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.