AGND Financial Statements From 2010 to 2024
AGND financial statements provide useful quarterly and yearly information to potential AGND 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 AGND financial statements helps investors assess AGND's valuation, profitability, and current liquidity needs. Key fundamental drivers impacting AGND's valuation are summarized below:AGND does not right now have any fundamental signals for analysis.
This module can also supplement various AGND Technical models . Check out Trending Equities 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 AGND financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among AGND main balance sheet or income statement drivers, such as , as well as many exotic indicators such as . AGND financial statements analysis is a perfect complement when working with AGND Valuation or Volatility modules.
AGND |
AGND ETF One Year Return Analysis
AGND's One Year Return is the annualized return generated from holding a security for exactly 12 months. The measure is considered to be good short-term measures of fund performance. In other words, it represents the capital appreciation of fund investments over the last year. However when the market is volatile such as in recent years, One Year Return measure can be misleading.
More About One Year Return | All Equity Analysis
One Year Return | = | (Mean of Monthly Returns - 1) | X | 100% |
Current AGND One Year Return | (6.36) % |
Most of AGND's fundamental indicators, such as One Year Return, 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, AGND is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Although One Year Fund Return indicator can give a sense of overall fund short-term potential, it is recommended to look at mid and long term return measure before selecting a particular fund or ETF. The great way to validate fund short-term performance is to compare it with other similar funds or ETFs for the same 12 months interval.
CompetitionBased on the recorded statements, AGND has an One Year Return of -6.36%. This is much lower than that of the WisdomTree family and significantly lower than that of the Nontraditional Bond category. The one year return for all United States etfs is notably higher than that of the company.
Pair Trading with AGND
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 AGND 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 AGND 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 Trending Equities 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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
Other Tools for AGND Etf
When running AGND's price analysis, check to measure AGND'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 AGND is operating at the current time. Most of AGND's value examination focuses on studying past and present price action to predict the probability of AGND's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move AGND's price. Additionally, you may evaluate how the addition of AGND to your portfolios can decrease your overall portfolio volatility.
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