Us Commodity Funds Etf EBITDA
US Commodity Funds fundamentals help investors to digest information that contributes to US Commodity's financial success or failures. It also enables traders to predict the movement of DNO Etf. The fundamental analysis module provides a way to measure US Commodity'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 US Commodity etf.
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US Commodity Funds ETF EBITDA Analysis
US Commodity'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.
Current US Commodity EBITDA | 10.23 M |
Most of US Commodity's fundamental indicators, such as EBITDA, 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, US Commodity Funds is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
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.
CompetitionAccording to the company disclosure, US Commodity Funds reported earnings before interest,tax, depreciation and amortization of 10.23 M. This is much higher than that of the USCF Investments family and significantly higher than that of the Trading--Inverse Commodities category. The ebitda for all United States etfs is notably lower than that of the firm.
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Fund Asset Allocation for US Commodity
The fund invests most of its assets under management in various types of exotic instruments, with the rest of asset invested in bonds.Asset allocation divides US Commodity'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.
DNO Fundamentals
| Return On Asset | 0.0048 | |||
| Profit Margin | 0.01 % | |||
| Operating Margin | 0.01 % | |||
| Current Valuation | 7.03 M | |||
| Shares Outstanding | 340.27 K | |||
| Price To Earning | 2.71 X | |||
| Price To Book | 1.34 X | |||
| Price To Sales | 2.67 X | |||
| Revenue | 10.38 M | |||
| Gross Profit | 10.38 M | |||
| EBITDA | 10.23 M | |||
| Net Income | 10.23 M | |||
| Cash And Equivalents | 23.71 M | |||
| Cash Per Share | 24.08 X | |||
| Debt To Equity | 0 % | |||
| Cash Flow From Operations | 8.19 M | |||
| Market Capitalization | 32.57 M | |||
| Total Asset | 9.04 M | |||
| Retained Earnings | 648.39 K | |||
| One Year Return | (37.32) % | |||
| Three Year Return | (9.10) % | |||
| Five Year Return | 7.26 % | |||
| Net Asset | 9.04 M | |||
| Bond Positions Weight | 26.94 % |
Pair Trading with US Commodity
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 US Commodity 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 US Commodity will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to AvalonBay Communities could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace AvalonBay Communities 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 AvalonBay Communities - 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 AvalonBay Communities to buy it.
The correlation of AvalonBay Communities 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 AvalonBay Communities moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if AvalonBay Communities 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 AvalonBay Communities 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 board of governors. You can also try the Idea Breakdown module to analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes.
Other Tools for DNO Etf
When running US Commodity's price analysis, check to measure US Commodity'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 US Commodity is operating at the current time. Most of US Commodity's value examination focuses on studying past and present price action to predict the probability of US Commodity's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move US Commodity's price. Additionally, you may evaluate how the addition of US Commodity to your portfolios can decrease your overall portfolio volatility.
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