Invesco Db Commodity Etf Z Score

DBC Etf  USD 23.11  0.03  0.13%   
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 Invesco DB Piotroski F Score and Portfolio Optimization analysis.
  

Invesco DB Commodity ETF Z Score Analysis

Invesco DB'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..

Z Score

 = 

Sum Of

5 Factors

More About Z Score | All Equity Analysis

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.
Competition

According to the company's disclosures, Invesco DB Commodity has a Z Score of 0.0. This indicator is about the same for the Invesco average (which is currently at 0.0) family and about the same as Commodities Broad Basket (which currently averages 0.0) category. This indicator is about the same for all United States etfs average (which is currently at 0.0).

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Fund Asset Allocation for Invesco DB

The fund invests most of its assets under management in various types of exotic instruments, with the rest of asset invested in stocks.
Asset allocation divides Invesco DB's investment portfolio among different asset categories to balance risk and reward by investing in a diversified mix of instruments that align with the investor's goals, risk tolerance, and time horizon. Mutual funds, which pool money from multiple investors to buy a diversified portfolio of securities, use asset allocation strategies to manage the risk and return of their portfolios.
Mutual funds allocate their assets by investing in a diversified portfolio of securities, such as stocks, bonds, cryptocurrencies and cash. The specific mix of these securities is determined by the fund's investment objective and strategy. For example, a stock mutual fund may invest primarily in equities, while a bond mutual fund may invest mainly in fixed-income securities. The fund's manager, responsible for making investment decisions, will buy and sell securities in the fund's portfolio as market conditions and the fund's objectives change.

Invesco Fundamentals

About Invesco DB Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze Invesco DB Commodity's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Invesco DB using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Invesco DB Commodity 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 Invesco DB

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 Invesco DB 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 Invesco DB will appreciate offsetting losses from the drop in the long position's value.

Moving together with Invesco Etf

  0.98PDBC Invesco Optimum YieldPairCorr
  0.98FTGC First Trust GlobalPairCorr
  0.98COMT iShares GSCI CommodityPairCorr
  0.97GSG iShares SP GSCIPairCorr

Moving against Invesco Etf

  0.95WTID UBS ETRACSPairCorr
The ability to find closely correlated positions to Invesco DB could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Invesco DB 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 Invesco DB - 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 Invesco DB Commodity to buy it.
The correlation of Invesco DB 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 Invesco DB moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Invesco DB Commodity 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 Invesco DB 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 Matching
When determining whether Invesco DB Commodity offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Invesco DB's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Invesco Db Commodity Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Invesco Db Commodity Etf:
Check out Invesco DB Piotroski F Score and Portfolio Optimization analysis.
Note that the Invesco DB Commodity information on this page should be used as a complementary analysis to other Invesco DB'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 Idea Breakdown module to analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes.
The market value of Invesco DB Commodity is measured differently than its book value, which is the value of Invesco that is recorded on the company's balance sheet. Investors also form their own opinion of Invesco DB's value that differs from its market value or its book value, called intrinsic value, which is Invesco DB'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 Invesco DB's market value can be influenced by many factors that don't directly affect Invesco DB'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 Invesco DB's value and its price as these two are different measures arrived at by different means. Investors typically determine if Invesco DB is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Invesco DB'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.