Ea Series Trust Etf Total Debt
| DTAN Etf | 24.49 0.13 0.53% |
EA Series Trust fundamentals help investors to digest information that contributes to EA Series' financial success or failures. It also enables traders to predict the movement of DTAN Etf. The fundamental analysis module provides a way to measure EA Series' 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 EA Series etf.
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EA Series Trust ETF Total Debt Analysis
EA Series' Total Debt refers to the amount of long term interest-bearing liabilities that a company carries on its balance sheet. That may include bonds sold to the public, notes written to banks or capital leases. Typically, debt can help a company magnify its earnings, but the burden of interest and principal payments will eventually prevent the firm from borrow excessively.
In most industries, total debt may also include the current portion of long-term debt. Since debt terms vary widely from one company to another, simply comparing outstanding debt obligations between different companies may not be adequate. It is usually meant to compare total debt amounts between companies that operate within the same sector.
Based on the latest financial disclosure, EA Series Trust has a Total Debt of 0.0. This indicator is about the same for the average (which is currently at 0.0) family and about the same as Total Debt (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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About EA Series Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze EA Series Trust's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of EA Series using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of EA Series Trust 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 EA Series
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 EA Series 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 EA Series will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to EA Series could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace EA Series 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 EA Series - 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 EA Series Trust to buy it.
The correlation of EA Series 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 EA Series moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if EA Series Trust 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 EA Series 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 EA Series Performance and EA Series Technical Analysis analysis. You can also try the Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.
The market value of EA Series Trust is measured differently than its book value, which is the value of DTAN that is recorded on the company's balance sheet. Investors also form their own opinion of EA Series' value that differs from its market value or its book value, called intrinsic value, which is EA Series' 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 EA Series' market value can be influenced by many factors that don't directly affect EA Series' 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 EA Series' value and its price as these two are different measures arrived at by different means. Investors typically determine if EA Series is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, EA Series' 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.