Dgaz Etf Annual Yield
DGAZ fundamentals help investors to digest information that contributes to DGAZ's financial success or failures. It also enables traders to predict the movement of DGAZ Etf. The fundamental analysis module provides a way to measure DGAZ'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 DGAZ etf.
DGAZ |
DGAZ ETF Annual Yield Analysis
DGAZ's Yield generally refers to the amount of cash that is paid back to the owner of a security over a specific time (usually one year). It is expressed as a percentage of current market price, and usually amounts to all the interests and/or dividends paid over a given period. A higher yield allows the shareholders to generate returns on their investments sooner. However, investors should also be aware that a high yield may be a result of market turmoil or increased price volatility.
Small firms, start-ups, or companies with high growth potential typically do not pay out dividends or distribute a lot of their profits. These companies will have small yield. Alternatively, more established companies, ETFs, and funds that invest in bonds will have higher yields.
CompetitionIn accordance with the recently published financial statements, DGAZ has an Annual Yield of 0.0%. This indicator is about the same for the Credit Suisse AG average (which is currently at 0.0) family and about the same as Trading--Inverse Commodities (which currently averages 0.0) category. This indicator is about the same for all United States etfs average (which is currently at 0.0).
DGAZ Annual Yield Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses DGAZ's direct or indirect competition against its Annual Yield to detect undervalued stocks with similar characteristics or determine the etfs which would be a good addition to a portfolio. Peer analysis of DGAZ could also be used in its relative valuation, which is a method of valuing DGAZ by comparing valuation metrics of similar companies.DGAZ is currently under evaluation in annual yield as compared to similar ETFs.
DGAZ Fundamentals
Number Of Employees | 201 | |||
Total Asset | 100.31 M | |||
One Year Return | 170.36 % | |||
Three Year Return | (4.87) % | |||
Five Year Return | (30.68) % | |||
Net Asset | 100.31 M |
Pair Trading with DGAZ
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 DGAZ 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 DGAZ 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 nation. Note that the DGAZ information on this page should be used as a complementary analysis to other DGAZ'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 Odds Of Bankruptcy module to get analysis of equity chance of financial distress in the next 2 years.
Other Tools for DGAZ Etf
When running DGAZ's price analysis, check to measure DGAZ'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 DGAZ is operating at the current time. Most of DGAZ's value examination focuses on studying past and present price action to predict the probability of DGAZ's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move DGAZ's price. Additionally, you may evaluate how the addition of DGAZ to your portfolios can decrease your overall portfolio volatility.
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