US Commodity Financial Statements From 2010 to 2024
US Commodity financial statements provide useful quarterly and yearly information to potential US Commodity Funds investors about the company's current and past financial position, as well as its overall management performance and changes in financial position over time. Historical trend examination of various income statement and balance sheet accounts found on US Commodity financial statements helps investors assess US Commodity's valuation, profitability, and current liquidity needs. Key fundamental drivers impacting US Commodity's valuation are summarized below:US Commodity Funds does not at this time have any fundamental measures for analysis.
This module can also supplement various US Commodity Technical models . 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.
Check US Commodity financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among DNO main balance sheet or income statement drivers, such as , as well as many exotic indicators such as . DNO financial statements analysis is a perfect complement when working with US Commodity Valuation or Volatility modules.
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US Commodity Funds ETF Price To Earning Analysis
US Commodity's Price to Earnings ratio is typically used for current valuation of a company and is one of the most popular ratios that investors monitor daily. Holding a low PE stock is less risky because when a company's profitability falls, it is likely that earnings will also go down as well. In other words, if you start from a lower position, your downside risk is limited. There are also some investors who believe that low Price to Earnings ratio reflects the low pricing because a given company is in trouble. On the other hand, a higher PE ratio means that investors are paying more for each unit of profit.
Current US Commodity Price To Earning | 2.71 X |
Most of US Commodity's fundamental indicators, such as Price To Earning, 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.
Generally speaking, the Price to Earnings ratio gives investors an idea of what the market is willing to pay for the company's current earnings.
CompetitionBased on the latest financial disclosure, US Commodity Funds has a Price To Earning of 2.71 times. This is much higher than that of the USCF Investments family and significantly higher than that of the Trading--Inverse Commodities category. The price to earning for all United States etfs is notably lower than that of the firm.
US Commodity Funds Fundamental Drivers Relationships
Comparative valuation techniques use various fundamental indicators to help in determining US Commodity's current stock value. Our valuation model uses many indicators to compare US Commodity value to that of its competitors to determine the firm's financial worth. You can analyze the relationship between different fundamental ratios across US Commodity competition to find correlations between indicators driving US Commodity's intrinsic value. More Info.US Commodity Funds is one of the top ETFs in price to earning as compared to similar ETFs. It is one of the top ETFs in price to book as compared to similar ETFs fabricating about 0.49 of Price To Book per Price To Earning. The ratio of Price To Earning to Price To Book for US Commodity Funds is roughly 2.03 . Comparative valuation analysis is a catch-all model that can be used if you cannot value US Commodity by discounting back its dividends or cash flows. This model doesn't attempt to find an intrinsic value for US Commodity's Etf. Still, instead, it compares the stock's price multiples to a benchmark or nearest competition to determine if the stock is relatively undervalued or overvalued. The reason why the comparable model can be used in almost all circumstances is due to the vast number of multiples that can be utilized, such as the price-to-earnings (P/E), price-to-book (P/B), price-to-sales (P/S), price-to-cash flow (P/CF), and many others. The P/E ratio is the most commonly used of these ratios because it focuses on the US Commodity's earnings, one of the primary drivers of an investment's value.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 US Commodity 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, US Commodity's short interest history, or implied volatility extrapolated from US Commodity options trading.
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 Microsoft could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Microsoft 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 Microsoft - 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 Microsoft to buy it.
The correlation of Microsoft 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 Microsoft moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Microsoft 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 Microsoft 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 Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
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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