Invesco Db Energy Etf EBITDA
| DBE Etf | USD 20.93 0.57 2.65% |
Invesco DB Energy fundamentals help investors to digest information that contributes to Invesco DB's financial success or failures. It also enables traders to predict the movement of Invesco Etf. The fundamental analysis module provides a way to measure Invesco DB's intrinsic value by examining its available economic and financial indicators, including the cash flow records, the balance sheet account changes, the income statement patterns, and various microeconomic indicators and financial ratios related to Invesco DB etf.
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Invesco DB Energy ETF EBITDA Analysis
Invesco DB's EBITDA stands for earnings before interest, taxes, depreciation, and amortization. It is a measure of a company operating cash flow based on data from the company income statement and is a very good way to compare companies within industries or across different sectors. However, unlike Operating Cash Flow, EBITDA does not include the effects of changes in working capital.
In a nutshell, EBITDA is calculated by adding back each of the excluded items to the post-tax profit, and can be used to compare companies with very different capital structures.
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According to the company disclosure, Invesco DB Energy reported earnings before interest,tax, depreciation and amortization 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 Focused (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
| Price To Earning | 4.95 X | |||
| Earnings Per Share | 2.65 X | |||
| Beta | 1.28 | |||
| Market Capitalization | 153.45 M | |||
| Total Asset | 194.54 M | |||
| One Year Return | 2.80 % | |||
| Three Year Return | 19.40 % | |||
| Five Year Return | 8.30 % | |||
| Ten Year Return | (2.30) % | |||
| Net Asset | 194.54 M | |||
| Last Dividend Paid | 0.26 | |||
| Equity Positions Weight | 9.87 % |
About Invesco DB Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Invesco DB Energy'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 Energy 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
| 0.85 | GLD | SPDR Gold Shares | PairCorr |
| 0.88 | IAU | iShares Gold Trust | PairCorr |
| 0.88 | SLV | iShares Silver Trust Aggressive Push | PairCorr |
| 0.85 | SGOL | abrdn Physical Gold | PairCorr |
| 0.89 | USO | United States Oil | PairCorr |
Moving against Invesco Etf
| 0.74 | YCL | ProShares Ultra Yen | PairCorr |
| 0.72 | FXY | Invesco CurrencyShares | PairCorr |
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 Energy 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 Energy 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.Check out Invesco DB Piotroski F Score and Invesco DB Altman Z Score analysis. Note that the Invesco DB Energy 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 Top Crypto Exchanges module to search and analyze digital assets across top global cryptocurrency exchanges.
The market value of Invesco DB Energy 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.