FAIL Financial Statements From 2010 to 2026
FAIL's 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 FAIL's valuation are provided below:FAIL does not right now have any fundamental signals for analysis.
Check FAIL financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among FAIL's main balance sheet or income statement drivers, such as , as well as many indicators such as . FAIL financial statements analysis is a perfect complement when working with FAIL Valuation or Volatility modules.
This module can also supplement various FAIL 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 closely tied with the direction of predictive economic indicators such as signals in gross domestic product. FAIL ETF Beta Analysis
FAIL's Beta is one of the most important measures of equity market volatility. Beta can be thought of as asset elasticity or sensitivity to market. In other words, it is a number that shows the relationship of an equity instrument to the financial market in which this instrument is traded. For example, if Beta of equity is 2, it is expected to significantly outperform market when the market is going up and significantly underperform when the market is going down. Similarly, Beta of 1 indicates that an asset and market will generate similar returns over time.
Current FAIL Beta | -0.31 |
Most of FAIL's fundamental indicators, such as Beta, 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, FAIL is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
In a nutshell, Beta is a measure of individual stock risk relative to the overall volatility of the stock market. and is calculated based on very sound finance theory - Capital Assets Pricing Model (CAPM).However, since Beta is calculated based on historical price movements it may not predict how a firm's stock is going to perform in the future.
CompetitionIn accordance with the recently published financial statements, FAIL has a Beta of -0.31. This is much lower than that of the CAMBRIA ETF TRUST family and significantly lower than that of the Trading--Inverse Equity category. The beta for all United States etfs is notably higher than that of the company.
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Try AI Portfolio ProphetCheck out Investing Opportunities 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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
Other Tools for FAIL Etf
When running FAIL's price analysis, check to measure FAIL'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 FAIL is operating at the current time. Most of FAIL's value examination focuses on studying past and present price action to predict the probability of FAIL's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move FAIL's price. Additionally, you may evaluate how the addition of FAIL to your portfolios can decrease your overall portfolio volatility.
| Performance Analysis Check effects of mean-variance optimization against your current asset allocation | |
| Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk |