ETF Managers Financial Statements From 2010 to 2026
ETF Managers' financial statements offer valuable quarterly and annual insights to potential investors, highlighting the company's current and historical financial position, overall management performance, and changes in financial standing over time. Key fundamentals influencing ETF Managers' valuation are provided below:ETF Managers Group does not today have any fundamental signals for analysis.
Check ETF Managers financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among ETF Managers' main balance sheet or income statement drivers, such as , as well as many indicators such as . ETF financial statements analysis is a perfect complement when working with ETF Managers Valuation or Volatility modules.
This module can also supplement various ETF Managers Technical models . Check out Correlation Analysis to better understand how to build diversified portfolios. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in gross domestic product. ETF Managers Group ETF One Year Return Analysis
ETF Managers' 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 ETF Managers One Year Return | 102.51 % |
Most of ETF Managers' 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, ETF Managers Group 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, ETF Managers Group has an One Year Return of 102%. This is much higher than that of the ETFMG family and significantly higher than that of the Trading--Inverse Equity category. The one year return for all United States etfs is notably lower than that of the firm.
Pair Trading with ETF Managers
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 ETF Managers 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 ETF Managers will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Charles Schwab could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Charles Schwab 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 Charles Schwab - 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 Charles Schwab Corp to buy it.
The correlation of Charles Schwab 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 Charles Schwab moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Charles Schwab Corp 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 Charles Schwab 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 Correlation Analysis to better understand how to build diversified portfolios. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in gross domestic product. You can also try the Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
Other Tools for ETF Etf
When running ETF Managers' price analysis, check to measure ETF Managers' 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 ETF Managers is operating at the current time. Most of ETF Managers' value examination focuses on studying past and present price action to predict the probability of ETF Managers' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move ETF Managers' price. Additionally, you may evaluate how the addition of ETF Managers to your portfolios can decrease your overall portfolio volatility.
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